Learn NLP techniques including text classification, sentiment analysis, named entity recognition, language models, and chatbot development.
Top-down approach to deep learning using the fastai library. Build state-of-the-art models without needing a PhD.
Deep Learning is the application of artificial neural networks to solve complex problems and commercial problems. There are several practical applications that have already been built using these techniques, such as: self-driving cars, development of new medicines, diagnosis of diseases, automatic generation of news, facial recognition, product recommendation, forecast of stock prices, and many others! The technique used to solve these problems is artificial neural networks, which aims to simulate how the human brain works. They are considered to be the most advanced techniques in the Machine Learning area.One of the most used libraries to implement this type of application is Google TensorFlow, which supports advanced architectures of artificial neural networks. There is also a repository called TensorFlow Hub which contains pre-trained neural networks for solving many kinds of problems, mainly in the area of Computer Vision and Natural Language Processing. The advantage is that you do not need to train a neural network from scratch! Google itself provides hundreds of ready-to-use models, so you just need to load and use them in your own projects. Another advantage is that few lines of code are needed to get the results!In this course you will have a practical overview of some of the main TensorFlow Hub models that can be applied to the development of Deep Learning projects! At the end, you will have all the necessary tools to use TensorFlow Hub to build complex solutions that can be applied to business problems. See below the projects that you are going to implement:Classification of five species of flowersDetection of over 80 different objectsCreating new images using style transferUse of GAN (generative adversarial network) to complete missing parts of imagesRecognition of actions in videosText polarity classification (positive and negative)Use o
Learn ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More
Learn Transformer models and BERT model: Overview
Text classification, sentiment analysis, topic modeling, text generation with spaCy, NLTK.
A comprehensive guide to over 50 generative AI tools to enhance business productivity and creativity, with a focus on ChatGPT and prompt engineering.
A course focused on building Generative AI SaaS applications with tools like ChatGPT, MongoDB, Firebase, and Stripe, with a claim of no coding skills required. It covers building and testing mobile apps using Expo Snack.
A guided project on Coursera that focuses on using the powerful BERT model for sentiment analysis tasks.
This course focuses on Claude as a powerful alternative to ChatGPT, teaching users how to leverage its advantages for marketing, business, content creation, and market research.
A project-based course where you will build and train a bidirectional LSTM neural network model to recognize named entities in text data using Keras with a TensorFlow backend. This is a key tool for information extraction and a preprocessing step for other NLP applications.
This course focuses on integrating generative AI into the UI/UX design workflow. It covers using AI for tasks like creating personas and journey maps while ensuring the design remains human-centered, inclusive, and accessible.
Welcome to "LLMs Mastery: Complete Guide to Generative AI & Transformers"!This practical course is designed to equip you with the knowledge and skills to build efficient, production-ready Large Language Models using cutting-edge technologies.Key Topics Covered:Generative AI: Understand the principles and applications of Generative AI in creating new data instances.ChatGPT & GPT4: Dive into the workings of advanced AI models like ChatGPT and GPT4.LLMs: Start with the basics of LLMs, learning how they decode, process inputs and outputs, and how they are taught to communicate effectively.Encoder-Decoders: Master the concept of encoder-decoder models in the context of Transformers.T5, GPT2, BERT: Get hands-on experience with popular Transformer models such as T5, GPT2, and BERT.Machine Learning & Data: Understand the role of machine learning and data in training robust AI models.Advanced Techniques: Sophisticated training strategies like PeFT, LoRa, managing data memory and merging adapters.Specialised Skills: Cutting-edge training techniques, including 8-bit, 4-bit training and Flash-Attention.Scalable Solutions: Master the use of advanced tools like DeepSpeed and FSDP to efficiently scale model training.Course Benefits:• Career Enhancement: Position yourself as a valuable asset in tech teams, capable of tackling significant AI challenges and projects.• <s
Learn ChatGPT & OpenAI API Development Masterclass
Update 1.1 as of 29/01/2025Generative AILLMLangChainHuggingFaceOllamaOpenAIGeminiDeepSeekGoogle NotebookLMAzure AI Services (Azure OpenAI Service)Recent reviews: "Thorough explanation, going great so far. A very simplistic and straightforward introduction to Natural Language Processing. I will recommend this class to any one looking towards Data Science""This course so far is breaking down the content into smart bite-size pieces and the professor explains everything patiently and gives just enough background so that I do not feel lost.""This course is really good for me. it is easy to understand and it covers a wide range of NLP topics from the basics, machine learning to Deep Learning.The codes used is practical and useful.I definitely satisfy with the content and surely recommend to everyone who is interested in Natural Language Processing"Update 1.0 :Fasttext Library for Text classification section added.Hi Data Lovers,Do you have idea about Which Artificial Intelligence field is going to get big in upcoming year?According to statista dot com which field of AI is predicted to reach $43 billion by 2025?If answer is 'Natural Language Processing', You are at right place. Do you want to know How Google News classify millions of news article into hundreds of different category.How Android speech recognition recognize your voice with such high accuracy.How Google Translate actually translate hundreds of pairs of different languages into one
Understand ChatGPT, GPT, LLMs, Transformer Models and Generative AI concepts. Learn about prompt engineering.
¡Descubre el fascinante mundo de ChatGPT y LLMs en acción! Domina desde cero hasta convertirte en un experto en el curso "Guía Completa de ChatGPT y LLMs en acción". Aprende a utilizar las poderosas herramientas de LLMs y ChatGPT para impulsar tu conocimiento. En un mundo cada vez más impulsado por la inteligencia artificial, los Modelos de Lenguaje Grande (LLMs) desempeñan un papel fundamental en la sociedad. Estos modelos revolucionarios tienen el potencial de transformar la forma en que interactuamos con la tecnología, desde asistentes virtuales hasta chatbots y sistemas de recomendación personalizados. Dominar los LLMs te permitirá impulsar la innovación, crear soluciones inteligentes y satisfacer las crecientes demandas de una sociedad cada vez más conectada. Con este curso, estarás preparado para marcar la diferencia en el mundo de la inteligencia artificial generativa y aprovechar al máximo el potencial que ofrecen los LLMs en la sociedad, trabajo y vida diaria.¿Que aprenderás en el curso?Conviértete en un experto en modelos de lenguaje: Aprende desde los conceptos básicos hasta las técnicas avanzadas para aprovechar al máximo los LLMs y transforma tus habilidades en el campo de la inteligencia artificial generativa.Aprende a utilizar herramientas clave: Descubre las herramientas esenciales, como la API de Open AI, Hugging Face y LangChain, y domina su integración en tus proyectos de LLMs y NLP.Mejora el rendimiento de tus modelos: Domina el Prompt Engineering y obtén resultados óptimos en tus interacciones con ChatGPT. Aprende a seleccionar el modelo adecuado y a aplicar técnicas de transfer learning para potenciar tus proyectos.Amplía las capacidades de ChatGPT y LangChain con LangChain y Agentes: Descubre cómo encadenar varios LLMs y dale nuevas habilidades a tus modelos. Aprende a programar workflows y a i
Welcome to "ChatGPT Unleashed: Harnessing the Potential of Generative AI," an exciting online course designed to empower students with the knowledge and skills needed to conquer the world of Artificial Intelligence! With over 165+ prompts! Are you fascinated by the transformative capabilities of AI, specifically ChatGPT? This course is your gateway to unlocking the immense potential of Generative AI. Whether you're a curious student, a tech enthusiast, or a professional looking to stay ahead in your field, this program is tailored just for you.This is a practical course, not just theory. You will do many ChatGPT prompt examples while watching the instructor provide his own examples for you to follow!THIS COURSE INCLUDES:30 beginner ChatGPT prompts (template)45 intermediate-level prompts (template)50 advanced prompts (template)25 "Make money online" prompts (template)15+ LIVE instructor-led examples30 day money back guaranteeCourse certificateBONUS: Learn how to cartoon yourself with a GPT!HERE'S WHAT YOU CAN EXPECT:Foundations of Generative AI: We'll start by building a solid foundation in Generative AI and its role in shaping the future.Real life examples of how to use ChatGPT for your personal and business needs.Prompt Engineering Mastery: Learn the secrets to creating prompts that produce precise and valuable AI-generated responses.Hands-On Projects: Put your knowledge to the test with ha
Learn Introduction to Generative AI Learning Path
Are you ready to master the most disruptive technology of our time?The landscape of Artificial Intelligence is evolving rapidly, and Generative AI is no longer just a buzzword—it is a mandatory career skill. Welcome to the Generative AI, ChatGPT & AI Agents Masterclass (2026 Edition), the only course you need to transition from an AI beginner to an industry-ready expert.This course is built for the future. While others focus on outdated tactics, we dive deep into the next generation of Large Language Models (LLMs), preparing you specifically for the capabilities of ChatGPT-5 and beyond.We don't just talk theory; we build. You will learn to:Dominate Prompt Engineering to get precise results every time.Accelerate your coding and development speed by 10x using GitHub Copilot.Design and deploy autonomous AI Agents that can plan, execute, and complete complex workflows for you.Whether you are a developer, entrepreneur, or creative professional, mastering these tools is the key to future-proofing your career. Join us to unlock the full potential of Generative AI and stay ahead of the curve in 2026.In this comprehensive course, you will learn to instantly create:Content & Marketing: SEO articles, video scripts, targeted ads, social media posts, E-books, blogs, newsletters, and E-commerce copy.Business & Productivity: AI integrations, workflow automations, financial plans, business plans, project outlines, custom schedules, contracts, and company slogans.Creative & Learning: Personalized emails, job proposals, presentations, online courses, lesson plans, language translations, creative stories, and even "vibe code" websites from scratch with no co
Learn Support Vector Machines in R Studio, from basic SVM models to advanced kernel-based SVM models. This course is for those who want to apply machine learning to real-world business problems using the R programming language.
A comprehensive course on building, deploying, and optimizing AI models using Langchain and Hugging Face. It covers everything from the basics of Generative AI to advanced concepts like Retrieval-Augmented Generation (RAG) pipelines.
Learn Generative AI: Prompt Engineering Basics
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This course explores the transformative potential of generative AI technologies in the realm of financial operations (FinOps). It covers the intricacies of large language models (LLMs) and how they can be harnessed to augment and optimize FinOps processes.
This masterclass provides a broad perspective on managing generative AI systems. It includes hands-on experience deploying HuggingFace and OpenAI models with a focus on monitoring, cost optimization, and automation pipelines. It also covers version control with Git and CI/CD demonstrations.
This program covers building and applying Generative AI techniques. For retail and e-commerce, it discusses enabling personalized recommendations and chatbot support.
This bootcamp on Udemy focuses on the operational aspects of deploying large language models. It covers CI/CD, Docker, Kubernetes, and monitoring for production LLM deployment, which are essential skills for managing and optimizing the cost and performance of LLMs at scale.
Learn DeepLearning.AIBuild Basic Generative Adversarial Networks (GANs)Course
This course focuses on the foundational concepts of LLMs, specifically tokenization and word embedding models. It includes practical, hands-on exercises for building and training these models using Pytorch.
Learn Generative AI for Business Leaders
Learn LangChain for LLM Application Development
Learn Modern Natural Language Processing in Python
Large Language Models have revolutionized the field of natural language processing, enabling breakthroughs in tasks such as text generation, language understanding, and content summarization. In this course, you will embark on a journey through the principles, techniques, and applications of LLMs, guided by experts in the field.Unlock the potential of advanced language technologies by enrolling in our comprehensive course, "Building Powerful Language Model Applications with LangChain." In this dynamic and hands-on learning experience, you will delve into the world of large language models and discover how to leverage the capabilities of LangChain, a cutting-edge framework designed to develop, fine-tune, and deploy robust language models.Language models have revolutionized the way we interact with technology, enabling applications such as chatbots, language translation, text generation, and sentiment analysis. This course is tailored for individuals seeking to harness the full potential of language models for real-world applications, whether you're a seasoned developer or an aspiring AI enthusiast.Course Highlights:Introduction to LangChain: Gain a solid understanding of the LangChain framework, exploring its architecture, features, and advantages over traditional language model development approaches.Fundamentals of Large Language Models: Learn the underlying principles and theories behind large language models, including transformer architectures, pre-training, and fine-tuning techniques.Data Preparation and Preprocessing: Master the art of curating and preprocessing datasets for effective language model training, ensuring data quality and model performance.Model Development and Training: Dive into the process of designing, building, and training your own large language model application using LangChain. Explore strategies for mode
Learn DeepLearning.AIGenerative AI for EveryoneCourse
Learn Building Systems with the ChatGPT API
Learn ChatGPT Prompt Engineering for Developers
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Embark on a comprehensive journey through the fascinating realm of data science and machine learning with our course, "Data Science and Machine Learning with Python and GPT 3.5." This course is meticulously designed to equip learners with the essential skills required to excel in the dynamic fields of data science and machine learning.Throughout this immersive learning experience, you will delve deep into the core concepts of data science and machine learning, leveraging the power of Python programming alongside the cutting-edge capabilities of ChatGPT 3.5. Our course empowers you to seamlessly navigate the entire data science workflow, from data acquisition and cleaning to exploratory data analysis and model deployment.You will master the art of cleaning raw data effectively, employing techniques tailored to handle missing values, diverse data types, and outliers, thus ensuring the integrity and quality of your datasets. Through hands-on exercises, you will become proficient in data manipulation using Python's pandas library, mastering essential techniques such as sorting, filtering, merging, and concatenating.Exploratory data analysis techniques will be thoroughly explored, empowering you to uncover valuable insights through frequencies, percentages, group-by operations, pivot tables, crosstabulation, and variable relationships. Additionally, you will gain practical experience in data preprocessing, honing your skills in feature engineering, selection, and scaling to optimize datasets for machine learning models.The course curriculum features a series of engaging projects designed to reinforce your understanding of key data science and machine learning concepts. You will develop expertise in building and evaluating supervised regression and classification models, utilizing a diverse array of algorithms including linear regression, random forest, decision tree, xgboost, logistic regression, KNN, lightgbm, and more.Unsupervised learning techniques will also b
This program equips insurance professionals with the skills to leverage Generative AI tools to enhance efficiency and accuracy in underwriting and claims processing, improve customer service, and perform risk assessments.
you will learn all these Topics and lot more 1. Core Concepts1. Perceptron2. MLP and its Notation3. Forward Propagation4. Backpropagation5. Chain Rule of Derivative in Backpropagation6. Vanishing Gradient Problem7. Exploding GradientActivation FunctionsList of Activation Functions1. Linear Function2. Binary Step Function3. Sigmoid Function (Logistic Function)4. Tanh (Hyperbolic Tangent Function)5. ReLU (Rectified Linear Unit)6. Leaky ReLU7. Parametric ReLU (PReLU)8. Exponential Linear Unit (ELU)9. Scaled Exponential Linear Unit (SELU)10. Softmax11. Swish.12. SoftPlus13. Mish14. Maxout15. GELU (Gaussian Error Linear Unit)16. SiLU (Sigmoid Linear Unit)17. Gated Linear Unit (GLU)18. SwiGLU19. Mish Activation FunctionDerivative of Activation FunctionsProperties of Activation Functions1. Saturating vs Non-Saturating2. Smooth vs Non-Smooth3. Generalized vs Specialized4. Underflow and Overflow5. Undefined and Defined6. Computationally Expensive vs Inexpensive.7. 0-Centered and Non-0-Centered8. Differentiable vs Non-Differentiable9. Bounded and Unbounded10. Monotonicity11. Linear Vs Non LinearIdeal Activation Function Characteristics1. Non-Linearity2. Differentiability3. Computational Efficiency4. Avoids Saturation5. Non-Sparse (Dense) Gradients6. Centered Output (0-Centered)7. Prevents Exploding Gradients8. Monotonicity (Optional)9. Sparse Activations (Optional)1
Neste curso, você se aprofundará no universo da IA Generativa com LLMs (Large Language Models), explorando o potencial da combinação entre LangChain e Python. Você implementará soluções proprietárias (ChatGPT) e modelos open source modernos, como Llama e Phi. Por meio de projetos práticos e reais, você desenvolverá aplicações inovadoras, incluindo um assistente virtual personalizado e um chatbot que interage com documentos e vídeos. Vamos explorar técnicas avançadas como RAG e agentes, além de utilizar ferramentas como Streamlit para criar interfaces intuitivas. Você aprenderá a utilizar essas tecnologias gratuitamente no Google Colab e também a executar os projetos em ambiente local.Na introdução, você será apresentado à teoria dos Grandes Modelos de Linguagem (LLMs) e seus conceitos fundamentais. Além disso, será explorado o ecossistema da Hugging Face, que oferece soluções modernas de Processamento de Linguagem Natural (PLN). Você aprenderá a implementar LLMs utilizando tanto o pipeline da Hugging Face quanto a biblioteca LangChain, compreendendo as vantagens de cada abordagem.Na segunda parte, será abordado o domínio da LangChain. Você aprenderá a acessar modelos de código aberto, como o Llama da Meta e o Phi da Microsoft, além de LLMs proprietárias, como o ChatGPT da OpenAI. Será explicado como realizar a quantização de modelos, com o objetivo de melhorar a performance e a escalabilidade. Também serão apresentados os principais componentes do LangChain, como chains, templates e tools, e como utilizá-los para desenvolver soluções robustas em PLN. Técnicas de engenharia de prompt serão abordadas para ajudar a obter resultados mais precisos. O conceito de RAG (Retrieval-Augmented Generation) será explorado, incluindo o processo de armazenamento e recuperação de informações. Você aprenderá a implementar bancos de dados vetoriais (vector stores) e entenderá a importância dos embeddings e como utilizá-los de forma eficaz. Também será mostrado como usar RAG para inter
Learn Can We Learn Generative AI Without Knowing Machine Learning And Deep Learning?
A 3-week online program focused on using AI to create original music from scratch. The course covers using generative AI platforms like Amper Music and AIVA to produce custom songs based on user inputs.
Learn How AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile
Learn Generative AI in a Nutshell - how to survive and thrive in the age of AI
Unlock the Power of Generative AIIn the rapidly evolving world of artificial intelligence, the ability to communicate effectively with AI systems is becoming a critical skill. Prompt engineering is becoming an essential as it acts as the bridge between human intent and artificial intelligence, enabling us to effectively guide AI systems to produce meaningful, accurate, and relevant responses. With AI models like ChatGPT being capable of processing vast amounts of information, the quality of their output largely depends on how well prompts are crafted.This training is a hands-on course designed to empower you with the tools and techniques to craft precise, effective prompts that harness the full potential of large language models (LLMs) like ChatGPT and Google Gemini.A Simple Framework We will explore and use a simple yet powerful framework for building highly effective prompts. The framework is based on six building blocks: instruction, context, examples, persona, format and tone. Most Practical Methods In the second part of the course, we will review the top practical prompt engineering methods that will be useful to handle more complex use cases and tasks. Join the Gen AI RevolutionReady to embark on this transformative journey? Join me as we explore the exciting world of Generative AI.
A project-based course that teaches how to utilize ChatGPT to create surveys, polls, and other artifacts for both primary and secondary market research. It also covers harnessing the power of ChatGPT for translating market research text and collaterals into multiple languages.
Stanford course on NLP with deep learning. Covers word embeddings, RNNs, attention, transformers, and BERT.
A comprehensive 7-course series that takes you from LLM business strategy to production deployment. You will learn to evaluate LLM opportunities, fine-tune models, and build production-ready applications using tools like Hugging Face and Python.
Learn OpenCV Python Tutorial For Beginners 24 - Motion Detection and Tracking Using Opencv Contours
Learn Generative ai vs AI agents vs Agentic AI
This course teaches you how to create chatbots without writing any code. You will learn to plan, implement, test, and deploy chatbots using IBM Watson's Assistant that are designed to be effective and user-friendly.
This IBM course explores transformers and key model frameworks like Hugging Face and PyTorch. It covers optimizing LLMs and advances to fine-tuning generative AI models using techniques like PEFT, LoRA, and QLoRA.
This course covers the evaluation of Large Language Models, from foundational methods to advanced techniques using Vertex AI's tools like Automatic Metrics and AutoSxS. It is designed for AI Product Managers, Data Scientists, and AI Ethicists, and it explores the future of generative AI evaluation across different media.
Unlock the potential of data-driven insights with our comprehensive course, "Deep Dive into Mastering Data Science and Machine Learning." In today's data-driven world, the ability to extract knowledge, predict trends, and make informed decisions is a crucial skill. This course is designed to empower you with the expertise required to navigate the intricate landscape of data science and machine learning.**Course Highlights:**Dive into Data: Learn to wrangle, clean, and preprocess data from various sources, preparing it for in-depth analysis. Discover techniques to identify and handle missing values, outliers, and anomalies that could affect your analysis.Algorithm Mastery: Delve into the world of machine learning algorithms, from foundational concepts to cutting-edge techniques. Understand the nuances of classification, regression, clustering, and recommendation systems, and explore ensemble methods and deep learning architectures for enhanced performance.Visualize Insights: Develop the art of data visualization to effectively communicate your findings. Learn to create compelling graphs, plots, and interactive dashboards that bring data to life and aid decision-making.Real-world Projects: Put theory into practice with hands-on projects that simulate real-world scenarios. Tackle challenges ranging from predicting customer behavior to image recognition, gaining experience that mirrors the complexities of the field.Ethical and Transparent AI: Understand the ethical considerations in data science and machine learning. Explore methods to interpret and explain model predictions, ensuring transparency and accountability in your applications.Model Deployment: Take your models from the development stage to real-world deployment. Learn about containerization, cloud services, and deployment pipelines, ensuring your solutions are accessible and scalable.Peer Learning: Engage with a
Learn Transformers, explained: Understand the model behind GPT, BERT, and T5
Unlock the potential of Generative AI with our comprehensive course, "Mastering Generative AI: LLMs, Prompt Engineering & More." This course is designed for both beginners and seasoned developers looking to deepen their understanding of the rapidly evolving field of artificial intelligence.In this course, you will explore a wide range of essential topics, including:· Python Programming: Learn the fundamentals of Python, the go-to language for AI development, and become proficient in data manipulation using libraries like Pandas and NumPy.· Natural Language Processing (NLP): Dive into the world of NLP, mastering techniques for text processing, feature extraction, and leveraging powerful libraries like NLTK and SpaCy.· Deep Learning and Transformers: Understand the architecture of Transformer models, which are at the heart of many state-of-the-art AI applications. Discover the principles of deep learning and how to implement neural networks using TensorFlow and PyTorch.· Large Language Models (LLMs): Gain insights into LLMs, their training, and fine-tuning processes. Learn how to effectively use these models in various applications, from chatbots to content generation.· Retrieval-Augmented Generation (RAG): Explore the innovative concept of RAG, which combines retrieval techniques with generative models to enhance AI performance.· Prompt Engineering: Master the art of crafting effective prompts to improve the interaction with LLMs and optimize the output for specific tasks.· Vector Databases: Discover how to implement and utilize vector databases for storing and retrieving high-dimensional data, a crucial skill in managing AI-generated content.The course culminates in a Capstone Project, where you will apply everything you've learned to solve a real-world problem using Generative AI te
Hi there,Welcome to "Generative AI & ChatGPT Mastery for Data Science and Python" course.Master Generative AI, ChatGPT and Prompt Engineering for Data Science and Python from scratch with hands-on projectsArtificial Intelligence (AI) is transforming the way we interact with technology, and mastering AI tools has become essential for anyone looking to stay ahead in the digital age. In today's data-driven world, the ability to analyze data, draw meaningful insights, and apply machine learning algorithms is more crucial than ever. This course is designed to guide you through every step of that journey, from the basics of Exploratory Data Analysis (EDA) to mastering advanced machine learning algorithms, all while leveraging the power of ChatGPT-4o.Data science application is an in-demand skill in many industries worldwide — including finance, transportation, education, manufacturing, human resources, and banking. Explore data science courses with Python, statistics, machine learning, and more to grow your knowledge. Get data science training if you’re into research, statistics, and analytics.Machine learning describes systems that make predictions using a model trained on real-world data. For example, let's say we want to build a system that can identify if a cat is in a picture. We first assemble many pictures to train our machine learning model. During this training phase, we feed pictures into the model, along with information about whether they contain a cat. While training, the model learns patterns in the images that are the most closely associated with cats. This model can then use the patterns learned during training to predict whether the new images that it's fed contain a cat.A machine learning course teach
Learn 99% Of People STILL Don't Know The Basics Of Prompting (ChatGPT, Gemini, Claude)
This specialization teaches how to leverage Generative AI in the mobile app development lifecycle. You will learn to create code, prototypes, and optimized programs, debug and enhance code using GenAI, and tackle ethical challenges. The courses cover using AI tools like Vertex AI, Dialogflow, and Apple Intelligence.
The Python for Data Science and Machine Learning course is designed to equip learners with a comprehensive understanding of Python programming, data science techniques, and machine learning algorithms. Whether you are a beginner looking to enter the field or a seasoned professional seeking to expand your skillset, this course provides the knowledge and practical experience necessary to excel in the rapidly growing field of data science.Course Objectives:1. Master Python Programming: Develop a strong foundation in Python programming, including syntax, data structures, control flow, and functions. Gain proficiency in using Python libraries such as NumPy, Pandas, and Matplotlib to manipulate and visualize data effectively.2. Data Cleaning and Preprocessing: Learn how to handle missing data, outliers, and inconsistent data formats. Acquire skills in data cleaning and preprocessing techniques to ensure the quality and reliability of datasets.3. Exploratory Data Analysis: Understand the principles and techniques of exploratory data analysis. Learn how to extract insights, discover patterns, and visualize data using statistical methods and Python libraries.4. Statistical Analysis: Gain a solid understanding of statistical concepts and techniques. Apply statistical methods to analyze data, test hypotheses, and draw meaningful conclusions.5. Machine Learning Fundamentals: Learn the foundations of machine learning, including supervised and unsupervised learning, regression, classification, and clustering. Understand the strengths and limitations of different machine learning algorithms.6. Machine Learning Implementation: Gain hands-on experience in implementing machine learning models using Python libraries such as scikit-learn. Learn how to train, evaluate, and optimize machine learning models.7. Feature Engineering and Selection: Develop skills in feature engineering to create mea
This course explores new metrics and best practices to monitor your LLM systems and ensure safety and quality. You will learn to identify hallucinations, detect jailbreaks using sentiment analysis, identify data leakage, and build your own monitoring system.
Section 1: Introduction to the CourseGet a complete overview of the course and what you will learn. Understand how ChatGPT-5 and AI tools can help you create, automate, and innovate efficiently.Section 2: Understanding AI EssentialsLearn the core concepts of Artificial Intelligence in a simple way. Understand how AI works, how it is trained, and how AI tools are transforming industries in 2025.Section 3: Prompt Engineering & Creating Effective PromptsDiscover the art of prompt engineering. Learn to communicate with AI models to get accurate, creative, and useful outputs. Explore prompt structures, chaining, and generating ideas and automation flows.Section 4: Creating AI PresentationsLearn to make AI-powered presentations quickly. Present your ideas clearly and professionally for college, work, or business with AI assistance.Section 5: AI Video GenerationStep into AI-driven video creation. Turn text prompts into professional-looking videos for marketing, education, or social media without needing any editing skills.Whether you are new to AI or already exploring tools like ChatGPT, this course will guide you step by step in a simple and practical way so you can apply AI in your studies, career, and daily life. join and start learning with our AI course start now
Welcome to the ultimate ChatGPT and Python Data Science course—your golden ticket to mastering the art of data science intertwined with the latest AI technology from OpenAI.This course isn't just a learning journey—it's a transformative experience designed to elevate your skills and empower you with practical knowledge.With AI's recent evolution, many tasks can be accelerated using models like ChatGPT. We want to share how to leverage AI it for data science tasks.Embark on a journey that transcends traditional learning paths. Our curriculum is designed to challenge and inspire you through:Comprehensive Challenges: Tackle 10 concrete data science challenges, culminating in a case study that leverages our unique 365 data to address genuine machine learning problems.Real-World Applications: From preprocessing with ChatGPT to dissecting a furniture retailer's client database, explore a variety of industries and data types.Advanced Topics: Delve into retail data analysis, utilize regular expressions for comic book analysis, and develop a ChatGPT-powered movie recommendation system. Engage with such critical topics as AI ethics to combat biases and ensure data privacy.This course emphasizes practical application over theoretical knowledge, where you will:Perform dynamic sentiment analysis using a Naïve Bayes algorithm.Craft nuanced classification reports with our proprietary data.Gain hands-on experience with real datasets—preparing you to solve complex data science problems confidently.We’ll be using ChatGPT, Python, and Jupyter Notebook throughout the course, and I’ll link all the datasets, Notebooks for you to play around with on your own.I'll help you create a ChatGPT profile, but I’ll assume you're adept in Python and somewhat experienced in machine learning. Are you ready to dive into the
Welcome to "Machine Learning: Modern Computer Vision & Generative AI," a cutting-edge course that explores the exciting realms of computer vision and generative artificial intelligence using the KerasCV library in Python. This course is designed for aspiring machine learning practitioners who wish to explore the fusion of image analysis and generative modeling in a streamlined and efficient manner.Course Highlights:KerasCV Library: We start by harnessing the power of the KerasCV library, which seamlessly integrates with popular deep learning backends like Tensorflow, PyTorch, and JAX. KerasCV simplifies the process of writing deep learning code, making it accessible and user-friendly.Image Classification: Gain proficiency in image classification techniques. Learn how to leverage pre-trained models with just one line of code, and discover the art of fine-tuning these models to suit your specific datasets and applications.Object Detection: Dive into the fascinating world of object detection. Master the art of using pre-trained models for object detection tasks with minimal effort. Moreover, explore the process of fine-tuning these models and learn how to create custom object detection datasets using the LabelImg GUI program.Generative AI with Stable Diffusion: Unleash the creative potential of generative artificial intelligence with Stable Diffusion, a powerful text-to-image model developed by Stability AI. Explore its capabilities in generating images from textual prompts and understand the advantages of KerasCV's implementation, such as XLA compilation and mixed precision support, which push the boundaries of generation speed and quality.Course Objectives:Develop a strong foundation in modern computer vision techniques, including image classification and object detection.Acquire hands-on experience in using pre-t
This program covers a wide range of topics including AI and machine learning fundamentals for renewable energy, energy generation forecasting, data analytics for energy efficiency, predictive maintenance, and smart grid integration.
Learn Natural Language Processing: Crash Course AI #7
This course is designed to empower developers, this comprehensive guide provides a practical approach to integrating LangcChain with OpenAI and effectively using Large Language Models (LLMs) in Python.In the course's initial phase, you'll gain a robust understanding of what Langchain is, its functionalities and components, and how it synergizes with data sources and LLMs. We'll briefly dive into understanding LLMs, their architecture, training process, and various applications. We'll set up your environment with a hands-on installation guide and a 'Hello World' example using Google Colab.Subsequently, we'll explore the LangChain Models, covering different types such as LLMs, Chat Models, and Embeddings. We'll guide you through loading the OpenAI Chat Model, connecting LangChain to Huggingface Hub models, and leveraging OpenAI's Text Embeddings.The course advances to the essential aspect of Prompting & Parsing in LangChain, focusing on best practices, delimiters, structured formats, and effective use of examples and Chain of Though Reasoning (CoT).The following sections focus on the concepts of Memory, Chaining, and Indexes in LangChain, enabling you to handle complex interactions with ease. We will study how you can adjust the memory of a chatbot, the significance of Chaining, and the utility of Document Loaders & Vector Stores.Finally, you'll delve into the practical implementation of LangChain Agents, with a demonstration of a simple agent and a walkthrough of building an Arxiv Summarizer Agent.By the end of this course, you'll have become proficient in using LangChain with OpenAI LLMs in Python, marking a significant leap in your developer journey. Ready to power up your LLM applications? Join us in this comprehensive course!
Welcome to the future of AI, where mastering the art of prompt engineering can unlock a world of possibilities. As AI tools like ChatGPT, Gemini, and Bing AI continue to reshape industries, from marketing and content creation to customer service and education, the ability to craft effective prompts is quickly becoming one of the most valuable skills in the digital age.This course, "Master Prompt Engineering for Generative AI," is your gateway to understanding how to harness the full potential of AI. Whether you’re looking to streamline your workflow, enhance creativity, or improve communication, learning how to guide AI effectively opens up limitless opportunities.In today’s rapidly evolving job market, companies are searching for people who can do more than just use AI, they want individuals who can control and optimize it. By mastering prompt engineering, you’ll not only stay ahead of the curve but position yourself as a key asset in any field that’s embracing AI-driven innovation.From generating personalized content to optimizing business processes, the possibilities with prompt engineering are endless. This skill gives you the power to leverage AI for tailored solutions, making you indispensable in any team or project. Whether you’re an entrepreneur, content creator, developer, or educator, understanding prompt engineering will give you a competitive edge and the freedom to innovate in ways that were previously unimaginable.Don’t miss the opportunity to shape your future with AI. Start mastering prompt engineering today, and discover how a few well-crafted words can change everything.Disclaimer:Please note that some theoretical chapters of this course feature AI-generated voice/video narration. While I strive to provide a seamless and engaging learning experience, the use of AI-generated voice/video helps ensure consistency and clarity in the delivery of content. I appre
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Welcome to the first Data Science and Machine Learning course with ChatGPT. Learn how to use ChatGPT to master complex Data Science and Machine Learning real-life projects in no time! Why is this a game-changing course?Real-world Data Science and Machine Learning projects require a solid background in advanced statistics and Data Analytics. And it would be best if you were a proficient Python Coder. Do you want to learn how to master complex Data Science projects without the need to study and master all the required basics (which takes dozens if not hundreds of hours)? Then this is the perfect course for you! What you can do at the end of the course:At the end of this course, you will know and understand all strategies and techniques to master complex Data Science and Machine Learning projects with the help of ChatGPT! And you don´t have to be a Data Science or Python Coding expert! Use ChatGPT as your assistant and let ChatGPT do the hard work for you! Use ChatGPT forthe theoretical part Python codingevaluating and interpreting coding and ML resultsThis course teaches prompting strategies and techniques and provides dozens of ChatGPT sample prompts toload, initially inspect, and understand unknown datasets clean and process raw datasets with Pandasmanipulate, aggregate, and visualize datasets with Pandas and matplotlibperform an extensive Explanatory Data Analysis (EDA) for complex datasetsuse advanced statistics, multiple regression analysis, and hypothesis testing to gain further insightsselect the most suitable Machine Learning Model for your prediction tasks (Model Selection)evaluate and interpret the performance of your Machine Learning models (Perfo
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A week-long training program that provides in-depth knowledge of sentiment analysis techniques driven by AI, with a focus on NLP, machine learning, and deep learning.
In today's data-driven world, the ability to harness and interpret data is not just a valuable skill but a crucial advantage. Whether you're an aspiring data scientist, a seasoned professional looking to expand your skill set, or an entrepreneur aiming to leverage data for strategic decisions, our comprehensive course on data science offers a transformative learning experience.Course OverviewOur course begins with a foundational exploration of data science, introducing you to its principles and importance in various industries. You'll delve into the distinctions between data science, data engineering, and data analysis, gaining a clear understanding of their respective roles and applications. Through real-world case studies and examples, you'll discover how data science drives innovation and impacts decision-making processes across different sectors.Essential Tools and TechnologiesTo equip you with the tools needed for effective data analysis, the course covers essential programming languages such as Python . Whether you're manipulating data with Pandas, performing numerical operations with NumPy, or creating insightful visualizations with Matplotlib and Seaborn, you'll develop a versatile skill set that forms the backbone of data science projects.Practical Skills DevelopmentA significant focus of the course is hands-on learning. You'll gain practical experience in gathering, cleaning, and analyzing data from diverse sources. Through interactive exercises and projects, you'll hone your ability to transform raw data into actionable insights that drive business decisions.Environment Setup and Best PracticesNavigating the data science environment can be daunting, especially for beginners. That's why we guide you through the setup of Python and Jupyter Notebook on both Windows and macOS, ensuring you're equipped with the right tools from the start. You'll learn to create and manage virtual environments, enhancing your ability to work efficiently a
This course covers a comprehensive curriculum from the basics of Python and math to advanced topics in Machine Learning, Deep Learning, and LLMs, including Transformers. It appears to be a broad AI course that likely covers the hardware aspects of training and deploying models.
A program for professionals to learn to harness generative AI, hyper-personalization, and predictive analytics to optimize customer engagement and drive growth in marketing.
Welcome to 'AI in Coding & Data Science: Master ChatGPT, GitHub Copilot', a comprehensive course designed to revolutionize your coding and data science journey. This course is meticulously crafted to help you harness the power of AI in coding and data science, thereby boosting your productivity and making you future-ready.With Udemy's 30-day money-back guarantee, you have nothing to lose. So why wait? Start learning today and supercharge your coding efficiency with AIIn this course, you will learn how to leverage AI tools like ChatGPT, GitHub Copilot, and Noteable to enhance your coding efficiency and data science capabilities. These tools are designed to assist you in code generation, debugging, testing, data analysis, visualization, and machine learning. They can significantly speed up your development process and make it easier to get started with new technologies.The course is structured into several modules, each focusing on a different aspect of AI-assisted coding and data science. You will learn how to set up and use these AI tools, understand their features and benefits, and see them in action through hands-on exercises and real-world examples. The course also includes sections on how to use these tools for job search and interview preparation, making it a comprehensive guide for anyone looking to boost their career in development or data science.One of the highlights of this course is the section on ChatGPT Plugins for Data Analytics, Visualizations, and Machine Learning. Here, you will get hands-on experience with the CodeInterpreter plugin, which allows you to generate Python code, perform data analysis, and even build machine learning models using natural language commands. You will work on several real-world datasets, including the Titanic, Iris, and MNIST datasets, and build predictive models to solve complex problems.By the end of this course, you will:Understand the role of AI in coding and data science and
This certificate program equips professionals with skills to drive innovation in the energy sector through AI. It offers hands-on experience with real-world projects, focusing on machine learning and advanced data analysis.
Equips professionals with skills to optimize energy systems using AI. The curriculum focuses on predictive analytics, energy forecasting, and smart grid optimization through hands-on projects.
4.13/5.0 rating. 100% say "valuable information." 100% say "clear explanations." 100% say "knowledgeable instructor." Beginner-friendly introduction to artificial intelligence fundamentals, machine learning, and real-world AI applications.Master Artificial Intelligence basics including machine learning concepts, neural networks, deep learning principles, and AI applications across industries. Learn AI fundamentals without coding—designed for engineers, business professionals, and beginners exploring how intelligent systems transform healthcare, finance, manufacturing, energy, and project management.WHAT YOU'LL LEARNAI Fundamentals & TypesUnderstand what artificial intelligence is, differentiate between narrow AI, general AI, and super AI, and learn how AI systems learn from data. Explore supervised learning, unsupervised learning, and reinforcement learning concepts without complex mathematics.Machine Learning BasicsMaster foundational machine learning concepts including training data, algorithms, model accuracy, and prediction systems. Learn how ML powers recommendation engines, fraud detection, and predictive maintenance without writing code.Neural Networks & Deep LearningUnderstand how artificial neural networks mimic human brain structure, learn about layers, nodes, activation functions, and how deep learning enables image recognition, natural language processing, and autonomous systems.Data in AI SystemsLearn why data is critical for AI, understand training datasets, data quality requirements, data preprocessing, and how bias in data creates biased AI models. Explore data ethics and responsible AI practices.AI Applications Across IndustriesDiscover real-world AI uses in energy systems (predictive maintenance, grid optimization), manufacturing (quality control, robotics), healthcare (diagnostics, drug disco
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This course delves into natural language processing (NLP), teaching you how to build models for tasks like sentiment analysis and text classification. You'll learn about logistic regression and naive Bayes, and how to represent text as vectors.
Scopri l'avanguardia del linguaggio e della tecnologia con il mio Percorso Formativo Esclusivo su ChatGPT e Machine Learning!Siamo sulla soglia di una nuova era in cui l'intelligenza artificiale e il machine learning stanno ridefinendo il modo in cui interagiamo con la tecnologia. Per esempio, potrai usare ChatGPT per automatizzare la risposta alle domande dei tuoi clienti o per creare contenuti di blog in modo automatico. Sei pronto a essere al centro di questa rivoluzione? Allora, il mio corso è l'investimento perfetto per il tuo futuro!Questo corso è stato progettato per fornire una comprensione approfondita dei concetti chiave di Machine Learning e delle tecniche di Prompt Engineering, utilizzando come base le versioni disponibili al momento della creazione del corso.Sebbene la piattaforma possa subire aggiornamenti o modifiche nel tempo, i concetti e le strategie insegnati in questo corso sono progettati per essere universalmente applicabili, anche alle versioni più recenti e a quelle future. Questo ti permetterà di acquisire competenze durature e facilmente adattabili al progresso delle tecnologie IA.Immergiti nel cuore del machine learning, delle reti neurali e dei modelli di linguaggio con questo percorso formativo. Scoprirai ChatGPT, un software che utilizza uno dei modelli di linguaggio più avanzati al mondo, e imparerai a utilizzarlo per creare contenuti coinvolgenti, ottimizzare le tue tecniche di marketing e portare il tuo lavoro o i tuoi studi al livello successivo.Con il nostro corso, avrai l'opportunità di esplorare: I fondamenti del Machine Learning e le diverse tipologie di apprendimento; La struttura e il funzionamento delle reti neurali; L'architettura e l'apprendimento di ChatGPT; Le tecniche di Prompt Engineering per generare contenuti coinvolgenti; L'importan
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A workshop focused on integrating Generative AI technologies with WebRTC. The course covers the evolution of WebRTC, the challenges of real-time AI, and analyzes how different vendors are approaching these challenges.
A comprehensive course covering a wide range of topics from the basics of RAG to advanced techniques like fine-tuning and RAG agents. It includes building a basic RAG pipeline, advanced retrieval methods, and optimizing for production.
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More and more evidence has demonstrated that graph representation learning especially graph neural networks (GNNs) has tremendously facilitated computational tasks on graphs including both node-focused and graph-focused tasks. The revolutionary advances brought by GNNs have also immensely contributed to the depth and breadth of the adoption of graph representation learning in real-world applications. For the classical application domains of graph representation learning such as recommender systems and social network analysis, GNNs result in state-of-the-art performance and bring them into new frontiers. Meanwhile, new application domains of GNNs have been continuously emerging such as combinational optimization, physics, and healthcare. These wide applications of GNNs enable diverse contributions and perspectives from disparate disciplines and make this research field truly interdisciplinary.In this course, I will start by talking about basic graph data representation and concepts like node data, edge types, adjacency matrix and Laplacian matrix etc. Next, we will talk about broad kinds of graph learning tasks and discuss basic operations needed in a GNN: filtering and pooling. Further, we will discuss details of different types of graph filtering (i.e., neighborhood aggregation) methods. These include graph convolutional networks, graph attention networks, confidence GCNs, Syntactic GCNs and the general message passing neural network framework. Next, we will talk about three main types of graph pooling methods: Topology based pooling, Global pooling and Hierarchical pooling. Within each of these three types of graph pooling methods, we will discuss popular methods. For example, in topology pooling we will talk about Normalized Cut and Graclus mainly. In Global pooling, we will talk about Set2Set and SortPool. In Hierarchical pooling, we will talk about diffPool, gPool and SAGPool. Next, we will talk about three unsupervised graph neural network architectures: Graph
Course DescriptionStay ahead in the world of AI - ML with this completely updated course covering . Machine Learning. Deep Learning. Large Language Models (LLMs). Retrieval-Augmented Generation (RAG). AI Agents. Explainable AI (XAI). AutoML using Google Vertex AI This is a hands-on course, designed for active learning. You are encouraged to practice along with the trainer during sessions or immediately after each lecture to build real, practical skills.The content is organized into 21 manageable days, allowing you to learn systematically without feeling overwhelmed. Whether you're a beginner or an experienced professional, you can start from the basics or jump straight to the advanced sections that interest you most.The course is taught by an industry veteran and founder of an AI startup, bringing real-world insights and project-based learning to every module.Running successfully for the past three years, the course has been regularly refreshed to reflect the latest advancements — including cutting-edge topics like Explainable AI, AutoML on Google Vertex, RAG pipelines, and AI Agent frameworks.If you’re looking for a complete, modern, and industry-focused AI learning experience — this is your perfect starting point.Enroll today and build the AI expertise the future demands!What you’ll learn:Build a strong foundation in Machine Learning and Deep Learning conceptsUnderstand and fine-tune Large Language Models (LLMs) for various applicationsDesign and implement Retrieval-Augmented Generation (RAG)</st
Notice: Effective Dec 24, 2024, this course has been thoroughly updated. Rest assured, it will consistently be refreshed to ensure its ongoing relevance and effectiveness.Unlock the Future of AI: Master Generative AI & NLP with PythonEmbark on a Revolutionary Journey into the World of AI: Become a Master of Generative AI & Natural Language Processing (NLP)Are you ready to unlock the full potential of Artificial Intelligence? This comprehensive, two-part course is designed to take you on an in-depth, hands-on journey through the cutting-edge fields of Generative AI and Natural Language Processing (NLP). Whether you're a beginner looking to enter the world of AI, a professional seeking to upgrade your skills, or an innovator aiming to stay ahead of the curve, this course offers everything you need to master these transformative technologies and prepare for the future.Course Overview:Our Generative AI & NLP with Python course will empower you to dive deep into the heart of AI technologies. Through expert-led instruction and hands-on practice, you will acquire the skills necessary to develop, implement, and leverage AI tools and techniques in real-world applications. This course goes beyond theoretical knowledge, focusing on practical, real-world projects to ensure that you not only learn but also apply what you’ve learned.Part 1: Generative AI Unleashed - Transforming Ideas into RealityIn the first part of this course, we will explore the exciting world of Generative AI and Large Language Models (LLMs). You’ll discover how these technologies are revolutionizing industries across the globe by generating creative, data-driven solutions to complex problems.Introduction to Generative AI: Learn the essential principles, history, and evolution of Gener
This course equips you with the skills to optimize data workflows, automate analysis, and generate actionable insights using AI. It covers automating ETL processes and generating synthetic data with tools like ChatGPT-4 and MOSTLY AI.
Generative AI: Prompt Engineering with ChatGPT and MidJourney is a course designed to teach students the fundamentals of prompt engineering and how to use generative AI models like ChatGPT to generate text.The course will cover topics such as the basics of generative AI, natural language processing, and prompt engineering. Students will learn how to use the MidJourney platform to build and train their own ChatGPT models.Throughout the course, students will work on hands-on projects that will help them develop their skills in prompt engineering and generative AI. They will also learn about the ethical considerations of using AI models for text generation and how to mitigate potential risks.By the end of the course, students will have a solid understanding of how to use generative AI models to generate text and will be equipped with the skills needed to create their own AI-powered language models.The course will be taught by experts in the field of AI and natural language processing. They will provide lectures and live demonstrations to guide students through the process of building and training their own generative AI models.Students will also have the opportunity to work on group projects and receive feedback from their peers and instructors. This collaborative learning environment will allow students to learn from each other and share their experiences.One of the key aspects of the course will be the focus on prompt engineering. Students will learn how to construct effective prompts that will guide their AI models to generate coherent and relevant text. They will also learn about different types of prompts and how to customize them for specific tasks.Throughout the course, students will use the MidJourney platform to build and train their own ChatGPT models. MidJourney is a user-friendly platform that provides all the tools necessary for building and deploying AI models. Students will have access to a pre-built dataset and will be able to experiment with differ
Unlock the power of Generative AI and learn how to build real-world applications using cutting-edge tools like ChatGPT, LangChain, Hugging Face, and more — even if you’re not a developer.This course starts with a fast-track module for non-coders, introducing you to practical no-code AI tools like Zapier, Canva AI, and Notion AI. You’ll quickly understand how Generative AI works — no math, no jargon, just clear and practical insights.You’ll then dive deep into Large Language Models (LLMs), learning how models like GPT and open-source alternatives function, and how to interact with them through effective prompt engineering. Understand the difference between OpenAI's APIs, local models, and when to use each.The course progresses with hands-on projects using the OpenAI API and LangChain to build intelligent assistants, custom chatbots, and agent-based tools. You’ll explore how to integrate tools and functions, use LangGraph for complex multi-step workflows, and build applications like weather and calculator agents.You'll also learn how to incorporate Hugging Face models, perform text classification, and explore LoRA fine-tuning basics — all with step-by-step guidance. The Retrieval-Augmented Generation (RAG) section will teach you how to connect AI with custom documents, PDFs, and websites using embeddings and vector databases like Pinecone, ChromaDB, and FAISS.We’ll also cover critical topics like AI safety, bias, responsible prompt engineering, and deploying your apps using tools like Streamlit, Gradio, and Hugging Face Spaces. You’ll even learn how to add a simple frontend with HTML/CSS/JS to showcase your work live.By the end of the course, you’ll complete real-world capstone projects such as a Social Media Post Generator and a Podcast AI Summarizer, and learn how to build a portfolio on GitHub that demonstrates your skills to potential clients or employers.Whether you're a developer, freelancer, entrepreneur, or aspiring AI bui
Preparado para um mergulho eletrizante no universo da tecnologia de linguagem? Prepare-se para entrar de cabeça no mundo maneiro do LangChain com "LangChain 101 para Iniciantes (OpenAI / ChatGPT / LLMOps)". Aqui, você vai aprender a mandar bem usando o LangChain e Modelos de Linguagem de Grande Porte (LLMs) para criar suas próprias aplicações em Python.O objetivo deste curso é moleza - te dar todas as ferramentas para começar sua aventura no LangChain. Vamos te mostrar como usar diferentes LLMs dos gigantes do mercado, OpenAI e HuggingFace, e desvendar o truque de chamar prompts, criar templates e ligar tudo isso para montar um sistema interativo e firmeza.Mas calma que tem mais! Vamos nos aprofundar no mundo dos chatbots e descobrir como a memória funciona no LangChain. Pra fechar com chave de ouro, um tutorial detalhado sobre como aplicar esses LLMs poderosos nos seus próprios documentos.Este curso não é só informativo — é diversão garantida. Usamos memes, exemplos do dia a dia e uma pegada descontraída para fazer desta jornada no mundo do LangChain algo super prazeroso.Dá um chega pra lá naqueles cursos chatos e longos que são puro blá-blá-blá. Este aqui é direto ao ponto, perfeito para desenvolvedores Python que querem um atalho para o mundo do LangChain e LLMs. Sabemos que seu tempo é ouro, então condensamos tudo que é essencial em uma horinha top."LangChain 101 para Iniciantes" é o seu passaporte para entender e botar a mão na massa com o LangChain. Ao final deste curso, você não só vai entender tudinho sobre LangChain, mas também estará pronto para encarar seu próximo projeto com um arsenal novinho em folha.Não fica aí parado — bora criar o futuro juntos. Mergulhe nesse mundo incrível do LangChain e Modelos de Linguagem de Grande Porte e se divirta muito pelo caminho!
An ISTC-accredited course that provides a framework for using generative AI tools like ChatGPT in various stages of a technical writing project. It aims to help technical communicators understand how to leverage AI to become more efficient and effective.
Unlock the potential of Generative AI with our comprehensive course, "Gen AI Masters 2025 - From Python To LLMs and Deployment" This course is designed for both beginners and seasoned developers looking to deepen their understanding of the rapidly evolving field of artificial intelligence.Learn how to build Generative AI applications using Python and LLMs. Understand prompt engineering, explore vector databases like FAISS, and deploy real-world AI chatbots using RAG architecture.In this course, you will explore a wide range of essential topics, including:Python Programming: Learn the fundamentals of Python, the go-to language for AI development, and become proficient in data manipulation using libraries like Pandas and NumPy.Natural Language Processing (NLP): Dive into the world of NLP, mastering techniques for text processing, feature extraction, and leveraging powerful libraries like NLTK and SpaCy.Deep Learning and Transformers: Understand the architecture of Transformer models, which are at the heart of many state-of-the-art AI applications. Discover the principles of deep learning and how to implement neural networks using TensorFlow and PyTorch.Large Language Models (LLMs): Gain insights into LLMs, their training, fine-tuning processes (including PEFT, LoRA, and QLoRA), and learn how to effectively use these models in various applications, from chatbots to content generation.Retrieval-Augmented Generation (RAGs): Explore the innovative concept of RAG, which combines retrieval techniques with generative models to enhance AI performance. You'll also learn about RAG evaluation methods, including the RAGAS framework, BLEU, ROUGE, BARScore, and BERTScore.Prompt Engineering</str
Part of a subscription, this course focuses on using AI tools for efficient prior art analysis and improving the quality of analysis.
April 2024 Update: Two new sections have been added recently. New Section 5: learn to edit the clothes of a person in a picture by programming a combination of a segmentation model with the Stable Diffusion generative model. New bonus section 6: Journey to the latent space of a neural network - dive deep into the latent space of the neural networks that power Generative AI in order to understand in depth how they learn their mappings. ____________________________Generative A.I. is the present and future of A.I. and deep learning, and it will touch every part of our lives. It is the part of A.I that is closer to our unique human capability of creating, imagining and inventing. By doing this course, you gain advanced knowledge and practical experience in the most promising part of A.I., deep learning, data science and advanced technology.The course takes you on a fascinating journey in which you learn gradually, step by step, as we code together a range of generative architectures, from basic to advanced, until we reach multimodal A.I, where text and images are connected in incredible ways to produce amazing results.At the beginning of each section, I explain the key concepts in great depth and then we code together, you and me, line by line, understanding everything, conquering together the challenge of building the most promising A.I architectures of today and tomorrow. After you complete the course, you will have a deep understanding of both the key concepts and the fine details of the coding process.What a time to be alive! We are able to code and understand architectures that bring us home, home to our own human nature, capable of creating and imagining. Together, we will make it happen. Let's do it!
Unlock the Power of Calculus in Machine Learning, Deep Learning, Data Science, and AI with Python: A Comprehensive Guide to Mastering Essential Mathematical Skills"Are you striving to elevate your status as a proficient data scientist? Do you seek a distinctive edge in a competitive landscape? If you're keen on enhancing your expertise in Machine Learning and Deep Learning by proficiently applying mathematical skills, this course is tailor-made for you.Calculus for Deep Learning: Mastering Calculus for Machine Learning, Deep Learning, Data Science, Data Analysis, and AI using PythonEmbark on a transformative learning journey that commences with the fundamentals, guiding you through the intricacies of functions and their applications in data fitting. Gain a comprehensive understanding of the core principles underpinning Machine Learning, Deep Learning, Artificial Intelligence, and Data Science applications.Upon mastering the concepts presented in this course, you'll gain invaluable intuition that demystifies the inner workings of algorithms. Whether you're crafting self-driving cars, developing recommendation engines for platforms like Netflix, or fitting practice data to a function, the essence remains the same.Key Learning Objectives:Function Fundamentals: Initiate your learning journey by grasping the fundamental definitions of functions, establishing a solid foundation for subsequent topics.Data Fitting Techniques: Progress through the course, delving into data fitting techniques essential for Machine Learning, Deep Learning, Artificial Intelligence, and Data Science applications.Approximation Concepts: Explore important concepts related to approximation, a cornerstone for developing robust models in Machine Learning, Deep Learning, Artificial Intelligence, and Data Science.Neural Network Training: Leverage you
This course covers advanced methods for data cleaning, preparation, and optimization using AI-assisted tools. You'll learn to generate synthetic data, address privacy concerns, and resolve data quality issues.
Learn how to build AI agents and LLM-powered applications that automate tasks and connect tools with ease.In this course, you'll begin with the basics of workflow automation and move step by step into building your own AI-powered agents. You’ll learn how to connect APIs, integrate powerful tools like OpenAI, Google Gemini, Claude, and build LLM applications using LangChain and other frameworks.This course is designed for both beginners and those with some experience. Whether you're looking to automate daily tasks, explore the potential of generative AI, or build scalable LLM apps, you’ll gain the skills to create powerful AI agents—without needing advanced coding knowledge.What You’ll Learn in This Course:Section 1: IntroductionWhat are AI Agents?What is n8n?What is n8n and What are the Benefits of Using It?Workflows, Automation, AI Agents - What’s the Difference?n8n Pricing Explained: Which Plan Is Right for You?How to Sign in to n8n: Step-by-Step GuideExploring the n8n User InterfaceSection 2: Set up Google Credentials in n8nHow to Set up Google Credentials in n8nSection 3: Lead Workflow: Auto-Save to Google Sheets, Filter, and Send Emails by BudgetCreate a trigger in n8nCreate an action in n8nWriting Custom Functions in n8nUsing Filters in n8nUsing the Switch Function in n8nUsing the Merge Node in n8nSection 4: Creating an AI Agent to Manage Calendar and Task Automation in n8nUsing an AI Agent to Create Events in Google CalendarUsing an AI Agent to Get Event Details from Google Calendar</l
Artificial Intelligence is transforming the world — and AI agents are at the heart of that revolution. From virtual assistants and research bots to automated problem-solvers, agents are the next leap beyond simple chatbots. In this hands-on course, you’ll learn step-by-step how to build your own working AI agent using LangChain, Python, and the OpenAI API — no advanced technical experience required.We’ll start from the very beginning. You’ll understand what AI really means, how agents differ from chatbots, and where they’re being used in the real world. Then, you’ll dive into the practical side — setting up your Python environment, installing key tools, and connecting APIs like OpenAI and SerpAPI to bring intelligence and search power to your creations.Once your setup is complete, we’ll explore the core concepts of LangChain — including chains, agents, prompts, and tools. You’ll learn how to create prompt templates, build your own tools, and finally, connect them all to create an AI agent that can think, search, and respond intelligently. By the end, you’ll not only understand how LangChain works, but also how to build, test, and customize your own AI-powered assistants for real-world use.Whether you’re an aspiring developer, a curious beginner, or an entrepreneur exploring the future of automation, this course gives you the practical foundation you need to start building with confidence.By completing this course, you’ll be able to:Understand the fundamentals of AI and LangChain Set up your development environment from scratchBuild and test working AI agents using Python and OpenAIExtend your agents with real-world tools and APIsJoin today, and take your first step toward building intelligent AI agents that can reason, search, and act — all powered by LangChain.
Part of the DeepLearning.AI offerings on Coursera, this specialization appears to be targeted towards those interested in the intersection of developer relations and the burgeoning field of generative AI.
This course, offered by Adobe, focuses on the application of generative AI in design, with a special emphasis on Adobe Firefly. It covers the foundational concepts of generative AI, practical use of Firefly's tools, and the ethical considerations in AI-driven content creation.
Uncover the true potential of AI tools like ChatGPT, Gemini, and Claude AI through the art of prompt engineering! This beginner-friendly course is designed for everyone—whether you're a executive, student, teacher, marketer, entrepreneur, manager, software engineering or just curious of AI. You'll learn how to communicate effectively with Generative AI to get smarter, faster, and more accurate results there by increasing your productivity.Through engaging, bite-sized lessons and real-world demos, you’ll master prompt types, structuring, personas, creativity control, debugging, and advanced techniques like Chain-of-Thought, Few-Shot, and ReAct. No coding skills needed!Learn how to:- Write prompts that get meaningful results- Improve outputs by refining and structuring input- Use AI for writing, learning, marketing, coding, and more- Apply prompts ethically and responsibly- Build your own AI-powered workflowsPerfect for anyone looking to become confident in using AI tools like a pro.Each Section is well made with:- Engaging contents and real-world analogies- Short videos per lecture- Hands-on demos in every module- Assignments to apply what you've learned- Beginner-friendly language throughoutTools and Technologies Covered:OpenAI, ChatGPT, Gemini, Perplexity, Claude, Google Colob, LangChain Template, Python Coding for non-coders, Python NotebookFAQs:What is prompt engineering, and why should I learn it?Prompt engineering is the skill of writing effective prompts to guide AI tools like ChatGPT, Gemini, and Claude. It helps you get smarter, more accurate results from generative AI. With AI now integrated into productivity, education, marketing, and business, prompt engineering is quickly becoming a must-have skill for everyone — no coding required.Do I need a technical or coding background to
This course provides an introduction to generative AI, covering topics like machine learning, virtual environments, and responsible AI.
This course explores how generative AI is revolutionizing creative industries. You will learn to use AI to create personalized, interactive experiences and immersive learning environments for games, media, and virtual training.
An intermediate-level course on leveraging Generative AI to improve customer success processes, engagement, and support automation, while addressing ethical and data privacy challenges.
Dive into the transformative world of generative AI with "Mastering Deep Learning for Generative AI." This comprehensive course is designed for aspiring data scientists, tech enthusiasts, and creative professionals eager to harness the power of deep learning to create innovative generative models.What You'll Learn:Foundations of Deep Learning: Understand the core principles of neural networks, including supervised and unsupervised learning.Generative Models: Master the building and training of advanced generative models such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformers.Hands-On Projects: Engage in practical projects that guide you through creating applications in art, music, text, and design using generative AI.Model Optimization: Learn techniques to evaluate, improve, and fine-tune the performance of your generative models for real-world applications.Ethical Considerations: Explore the ethical implications and future impact of generative AI, ensuring responsible and informed application of these technologies.Course Highlights:Comprehensive Learning: From fundamentals to advanced concepts, gain a robust understanding of deep learning for generative AI.Practical Experience: Hands-on projects provide real-world experience, enhancing your ability to apply what you learn.Cutting-Edge Techniques: Stay ahead with the latest advancements in generative AI technologies.Expert Guidance: Learn from experienced instructors who provide clear explanations and valuable insights.Who Should Enroll:Aspiring Data Scientists: Those looking to specialize in deep learning a
"This course contains the use of artificial intelligence in creating scripts, visuals, audio, and supporting content"This 8-week course is a complete foundation in Generative AI and Large Language Models (LLMs), designed to help you build both conceptual understanding and practical skills. The program is structured to gradually move from the basics of generative models to advanced applications, customization, safety, and a capstone project that showcases your abilities. The course begins with an introduction to Generative AI, where you will explore tokenization, attention mechanisms, and the transformer architecture that forms the backbone of modern LLMs. You will learn how text generation works, experiment with prompt design, and analyze the impact of model parameters like temperature and top-p on creativity and accuracy. Building on this, the course dives into the foundations of large language models, exploring embeddings, perplexity, and context windows. You will also study core generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and diffusion models, gaining an intuitive understanding of how these models generate text, images, and structured data. The practical modules allow you to apply Generative AI in practice, including summarization, creative writing, code generation, data augmentation, and image synthesis. You will use modern <strong
This course introduces the theory behind diffusion models, which are the foundation of many image generation tools, and covers how to train and deploy them on Vertex AI.
This specialization focuses on applying NLP techniques to real-world problems. By the end of the series of courses, you will have hands-on experience in building NLP models for various tasks, including text summarization.
This course equips you with the skills to analyze, implement, and assess large language models in real-world scenarios. You will learn about core LLM capabilities, summarization, translation, and how LLMs power content generation. The course also covers building chatbots and sentiment analysis tools with LangChain and evaluating LLM performance using benchmarks like ROUGE, GLUE, and BIG-bench.
This course on Coursera provides skills to optimize and deploy domain-specific large language models for advanced Generative AI applications. It covers supervised fine-tuning, parameter-efficient methods (PEFT), and reinforcement learning with human feedback (RLHF).
A comprehensive program focusing on building and deploying Generative AI solutions using LangChain, LlamaIndex, and OpenAI. The course covers a wide range of topics from fundamentals to advanced applications.
This course provides professionals in the energy sector with an understanding of AI applications. It covers making forecasts about the future performance of energy resources, the use of robotics in harsh environments, and applying machine learning for operational detection.
This course teaches how to use PySpark for streaming data processing and Natural Language Processing (NLP) applications. It is aimed at data professionals who want to build scalable data-streaming applications and perform advanced NLP tasks on large datasets.
Autonomous agents, an intriguing advancement in the realm of artificial intelligence, are on the brink of reshaping our work dynamics and technological interactions. These intelligent entities transcend the role of mere tools; they function as digital collaborators capable of independently managing tasks to achieve specific objectives. Whether given vague directives or precise goals like creating a sales tracker tool, these agents autonomously navigate the task at hand, continually improving their efficiency until the desired outcome is achieved. This level of automation is revolutionary, akin to an indefatigable and highly efficient worker.Accessible to individuals with coding skills, operational autonomous agents are capable of handling diverse tasks, from app development to everyday chores, thereby saving valuable time and resources. Their potential lies in transforming industries, automating mundane tasks, and freeing individuals to focus on more creative pursuits.A notable project in the field of autonomous agents is Microsoft Research's AutoGen. This innovative tool simplifies the development of conversational agents designed to solve problems through interactions with other agents, humans, and tools. The process involves defining conversable agents and interaction behaviors, analogous to scripting a play where the user determines how agents engage in and progress through the conversation.AutoGen's agents possess the ability to interact and collaborate, essentially functioning as a team. Leveraging Language Models (LLMs), human input, and tools, these agents understand language, generate ideas, and make logical decisions. The central role of LLMs supports various agent configurations, including those fine-tuned on private data. Developers can adjust human participation levels, and tools act as specialized utilities to overcome LLM limitations.AutoGen distinguishes itself with features like unified conversation interfaces, facilitatin
Are you ready to explore the limitless possibilities of Artificial Intelligence? In this course, Complete Artificial Intelligence: From Basics to Generative AI, we’ve designed a comprehensive journey to help you master the exciting world of AI and Machine Learning. Whether you're a beginner curious about AI or someone looking to enhance your skills, this course provides a clear and structured pathway for success.We start by covering the fundamentals of Artificial Intelligence, breaking down the concepts into simple, easy-to-follow lessons. You'll learn the basics of Machine Learning, including Supervised and Reinforcement Learning, and how these approaches are applied to solve real-world problems. As you progress, we move to Deep Learning, focusing on building Artificial Neural Networks (ANNs) and Convolutional Neural Networks (CNNs) to tackle complex tasks like image and speech recognition.But that’s not all—we also take a deep dive into the rapidly growing field of Generative AI. From understanding how Generative Adversarial Networks (GANs) work to exploring cutting-edge technologies like Transformers and Large Language Models (LLMs), you’ll gain insights into how AI creates everything from realistic images to human-like text. Plus, we cover Natural Language Processing (NLP), explaining how AI understands and generates human language.Whether you're here to start a new career, enhance your knowledge, or simply explore AI, this course is your gateway to the future of technology. Enroll now and take the first step toward mastering the art and science of AI!
Learn LLM Application Development with LangChain
**Course Update [29 Aug 2025]: A New Module covering ChatGPT 5 has been added****Course Update [28 Aug 2025]: A New Module covering Latest CoPilot AI Agents has been added**This course is designed to unlock the potential of Generative AI and Microsoft Copilot to transform business processes, enhance decision-making, and drive innovation. This comprehensive course equips professionals with cutting-edge skills to harness AI tools such as ChatGPT 5, Gemini, Claude, DeepSeek, and Microsoft Copilot for a wide range of business applications.Learn to train and fine-tune custom GPT models tailored to your company's unique data to automate workflows, generate actionable insights, and optimize operations. Master AI-driven techniques for data wrangling, cleaning, and visualization, using tools to create impactful bar charts, heatmaps, and time-series visualizations. Explore advanced methods like Z-score analysis and Isolation Forests to detect anomalies, monitor market trends, and enhance operational efficiency.Dive deep into AI applications for financial analysis, including extracting insights from 10-K reports, sentiment analysis, and forecasting using sophisticated models like ARIMA, SARIMA, Random Forest, and Prophet. Gain expertise in building AI agents and leveraging CoPilot to streamline complex workflows across platforms like Excel, Word, PowerPoint, and Teams.Throughout the course, learners will also simulate real-world scenarios to develop robust financial and strategic planning skills. Apply SWOT analysis, financial KPI assessments, and AI-powered tools for supply chain evaluation, marketing strategy optimization, and growth forecasting.Whether you are looking to enhance your data analysis capabilities, automate routine tasks, or lead AI-driven innovation in your organization, this course provides the practical knowledge and hands-on experience you need to excel in today’s da
A free, self-paced course developed by Google in collaboration with MIT RAISE. It is designed to help teachers integrate AI into their teaching practices, covering the use of generative AI tools to save time, personalize instruction, and enhance lessons creatively.
A specialization that guides learners through essential and advanced NLP techniques, from sentiment analysis and tokenization to neural translation and transformer models. It includes a course on 'Neural Models and Machine Translation'.
This beginner-level course introduces the concepts of linear algebra that are relevant to AI, machine learning, and deep learning.
Artificial intelligence is one of the most rapidly evolving fields in technology, and ChatGPT is at the forefront of this revolution. By understanding ChatGPT and its capabilities, you will have the knowledge to create innovative solutions in a wide range of industries, from finance and healthcare to education and entertainment.This course is designed to provide a comprehensive overview of ChatGPT for beginners who are interested in exploring the possibilities of artificial intelligence. ChatGPT is a powerful language model trained by OpenAI, based on the GPT-3.5 architecture, and is capable of generating human-like responses to a wide range of prompts.In this masterclass, you will learn how to use ChatGPT to generate text, including content creation and creating ebooks.In addition to its use for content creation and ebooks, ChatGPT has also become an essential tool for aspiring AI consultants. The course includes a section on how to maximize the potential of ChatGPT as an AI consultant, including best practices for working with clients and integrating the technology into existing workflows.Whether you are a beginner exploring the possibilities of AI or an experienced consultant looking to expand your skillset, this masterclass will provide you with a comprehensive understanding of ChatGPT and its potential applications.
Offered by Vanderbilt University, this course teaches how to write effective prompts for large language models like ChatGPT. You'll learn prompt patterns to unlock powerful capabilities and create complex prompt-based applications.
A skill track on DataCamp that focuses on natural language processing (NLP). It covers techniques for text classification, sentiment analysis, and other NLP tasks, providing a solid foundation in this specialized area of AI.
This course covers prompt engineering with a section on Multimodal LLMs, including GPT-4V, LLaVA, and Gemini. It explores how these models process different data types and their use cases in image captioning, visual Q&A, and video summarization.
Learn Generative AI for Developers Learning Path
This course is complete guide of AWS SageMaker wherein student will learn how to build, deploy SageMaker models by brining on-premises docker container and integrate it to SageMaker. Course will also do deep drive on how to bring your own algorithms in AWS SageMaker Environment. Course will also explain how to use pre-built optimized SageMaker Algorithm.Course will also do deep drive how to create pipeline and workflow so model could be retrained and scheduled automatically.This course covers all aspect of AWS Certified Machine Learning Specialty (MLS-C01)This course will give you fair ideas of how to build Transformer framework in Keras for multi class classification use cases. Another way of solving multi class classification by using pre-trained model like Bert .Both the Deep learning model later encapsulated in Docker in local machine and then later push back to AWS ECR repository.This course offers:AWS Certified Machine Learning Specialty (MLS-C01)What is SageMaker and why it is requiredSageMaker Machine Learning lifecycleSageMaker ArchitectureSageMaker training techniques:Bring your own docker container from on premise to SageMakerBring your own algorithms from local machine to SageMakerSageMaker Pre built AlgorithmSageMaker Pipeline developmentSchedule the SageMaker Training notebookMore than 5 hour course are provided which helps beginners to excel in SageMaker and will be well versed with build, train and deploy the models in SageMaker
Step into the world of Generative AI and Large Language Models (LLMs) with this Complete Generative AI Mastery Course, an immersive, project-driven program designed to take you from fundamentals to professional-level mastery. In this Generative AI course, you will build production-grade AI applications using industry-standard frameworks such as LangChain, LLaMA 3, FAISS, and Milvus — the same technologies powering real-world enterprise and research-grade AI systems.The course begins with a deep dive into the core concepts of Transformers, GANs, embeddings, and foundation models, helping you understand how modern generative models process and generate human-like content. You will then explore Retrieval-Augmented Generation (RAG), vector databases, and multimodal AI to create powerful, context-aware, and intelligent solutions for text, image, and video understanding.Through 12+ guided, hands-on projects, you will build:AI chatbots powered by LLMsIntelligent document retrieval & RAG systemsImage generation & Vision AI applicationsSemantic similarity search enginesAI-powered video retrieval systemsYou will work with cutting-edge models and architectures, including T5 and multimodal models, while applying best practices for real-world system design.By the end of this course, you will master the complete Generative AI pipeline — from data ingestion, embeddings, model chaining, fine-tuning, and optimization to scalable deployment across edge, cloud, and hybrid environments.Whether you are a Python developer, AI enthusiast, data scientist, researcher, or tech innovator, this course equips you with the <st
En este curso, exploraremos cómo utilizar la tecnología de ChatGPT de manera más efectiva mediante el uso de las técnicas de Prompt Engineering.En los últimos años, la Inteligencia Artificial ha evolucionado rápidamente, lo que ha permitido a los usuarios experimentar nuevas formas de interactuar con las máquinas. En particular, la tecnología de ChatGPT ha demostrado ser una herramienta extremadamente útil para una amplia variedad de aplicaciones, como atención al cliente, generación de texto, e incluso, asistentes virtuales.Sin embargo, a pesar de su efectividad, utilizar ChatGPT puede ser un desafío para los usuarios que no están familiarizados con la Inteligencia Artificial. En particular, una de las principales barreras para la utilización de ChatGPT es la dificultad para generar prompts efectivos que permitan a la tecnología entender lo que se le está pidiendo.Es por eso que hemos desarrollado este curso. Queremos proporcionar a los participantes una base sólida de las diferentes técnicas de Prompt Engineering, así como las herramientas y habilidades necesarias para utilizar ChatGPT de manera efectiva.Ya sea que estés buscando implementar ChatGPT en tu negocio o simplemente desees explorar el uso de ChatGPT, este curso te proporcionará el conocimiento y la confianza que necesitas para sacar el máximo provecho a ChatGPT.
Künstliche Intelligenz ist kein Buzzword mehr – sie ist längst Realität.Sie verändert, wie wir arbeiten, denken, kommunizieren und Entscheidungen treffen. Dieser Kurs zeigt dir, wie du KI nicht nur verstehst, sondern für dich arbeiten lässt – effizient, kreativ und ohne Technik-Kauderwelsch.Du lernst, wie du mit ChatGPT smarte Texte entwickelst, Ideen sortierst, Strategien formulierst oder sogar ein Vorstellungsgespräch simulierst – strukturiert und praxisnah. Mit Leonardo AI erzeugst du visuelle Inhalte: aus Worten oder einfachen Skizzen entstehen Bilder, die aussehen, als hätte ein Profi sie entworfen. Und du erfährst, wie du komplexe Aufgaben wie Recherchen, Auswertungen oder kreative Brainstormings automatisierst – in Sekunden, statt in Stunden.Dieser Kurs richtet sich an alle, die KI nicht nur verstehen, sondern für ihren Alltag, Beruf und ihre Projekte nutzen wollen. Ganz gleich, ob du Unternehmer, Angestellter, Freelancer oder einfach nur neugierig bist: Du brauchst kein Vorwissen. Alles beginnt bei Null – und führt dich Schritt für Schritt zu echtem KI-Können.Was dich erwartet:Ein klar strukturierter Einstieg in die wichtigsten KI-Anwendungen.Praxisbeispiele, die du sofort umsetzen kannst.Und ein Perspektivwechsel: weg vom passiven Tool-User – hin zum kreativen, selbstbestimmten Anwender.Am Ende wirst du nicht einfach nur Tools bedienen.Du wirst mit KI denken, gestalten, automatisieren – und besser performen als je zuvor.Klingt nach Zukunft? Ist es auch. Und sie beginnt genau hier.Und Du weißt ja ... wer nicht mit der Zeit geht, ...Abschnitt 1: Einführung in die Welt der Künstlichen IntelligenzIn diesem Abschnitt tauchst du ein in die faszi
Learn Generative AI and ChatGPT: Complete Course
"Why learn ChatGPT and Bing Chat together?"You can unleash your creativity and productivity with the power of ChatGPT and Bing Chat, two of the most advanced AI systems in the world. Both are complementary and powerful AI systems that can help you achieve more. ChatGPT can write anything from essays to stories to codes, while Bing Chat can answer questions and provide up-to-date information from the web. Together, they can give you the best of both worlds: creativity and accuracy, imagination and facts, fiction and reality. And Bing chat can generate stunning images with just words. By learning how to use both ChatGPT and Bing Chat, you will be able to create amazing things with AI that no one else can."Why learn Prompt Engineering?"AIs are like the smartest person you have ever met, but at the same time, they are like a five-year-old kid - they can do a lot of things, but they also need careful instruction to do them well.Thus, being able to communicate effectively with AIs is a crucial skill and I believe at this point anyone who wants to advance in their career, school, business or anything, or just stand apart from the competition, must definitely possess this important skill, called Prompt Engineering.As prompt engineering teaches you how to get interact and generated desired output from the AI because the quality of your input determines the quality of the output generated by these AIs."What I will learn in this course?"AI ChatBots like ChatGPT and Bing Chat can write essays, articles, and stories, solve math problems, write sales emails, draft a contract, write codes for games, websites, and apps, and can even generate amazing images just by typing a few words.The possibilities for using AIs are endless.That's the reason I have crafted this cou
A 3-hour fundamental course that is part of a learning plan to help grow technical skills for building scalable and secure generative AI applications on AWS.
This course contains the use of artificial intelligenceMastering Generative AI with ChatGPT, LangChain, and Agentic AI — The Ultimate Guide to Building Intelligent Workflows and AutomationWelcome to "Mastering Generative AI with ChatGPT, LangChain, and Agentic AI" — your comprehensive gateway into the future of artificial intelligence. Whether you're a developer, entrepreneur, data scientist, or tech enthusiast, this course is designed to equip you with cutting-edge skills in Generative AI, enabling you to build intelligent systems, automate workflows, and unlock new levels of productivity.Why This Course?Generative AI is revolutionizing industries — from content creation and customer service to software development and business automation. Tools like ChatGPT, frameworks like LangChain, and emerging paradigms like Agentic AI are at the forefront of this transformation. This course offers a step-by-step, hands-on learning experience that demystifies these technologies and empowers you to use them effectively.What You'll LearnFoundations of Generative AIUnderstand the core principles, models, and use cases that define this rapidly evolving field.Mastering ChatGPTLearn how to prompt, fine-tune, and integrate ChatGPT into real-world applications for content generation, customer support, and intelligent assistants.LangChain EssentialsBuild powerful AI chains using LangChain to orchestrate multi-step reasoning, memory, and tool use — ideal for building chatbots, agents, and dynamic workflows.Agentic AI in ActionExplore the emerging world of autonomous agents, task planning, and self-directed AI systems. Learn how to build agents that can reason, act, and adapt.Rea
This course focuses on topic modeling for marketing data. You will learn to apply topic modeling to various marketing use cases, evaluate and tune topic models, and use them to classify documents. The course covers both traditional and neural network approaches to topic modeling.
Embark on a transformative journey into the world of Generative AI & Prompt Engineering. This comprehensive course will equip you with the skills and knowledge to harness the full potential of Large Language Models (LLMs) and prompt engineering, propelling your career to new heights in the AI-driven era.What you'll learn:Deep Dive into LLMs: Gain an in-depth understanding of how LLMs work, their capabilities, and their limitations. Explore various LLM architectures like transformers and their applications across diverse domains. Develop deep understanding of highly technical concepts like self-attention but in extremely easy to understand language. Master Prompt Engineering: Learn the art and science of crafting effective prompts to elicit desired responses from LLMs. Discover advanced techniques for fine-tuning outputs, controlling style, and ensuring accuracy.Evaluate AI and LLM Performance: Delve into essential evaluation metrics to assess the effectiveness of AI models and LLMs. Learn how to interpret results, identify areas for improvement, and make informed decisions.Become a Gen AI Expert: Through hands-on projects and real-world examples, gain practical experience with LLMs and prompt engineering. Develop the expertise to leverage Gen AI tools for innovative solutions and creative problem-solving.Unlock Career Success: Position yourself for success in the AI-driven job market. Learn how to apply prompt engineering to enhance productivity, streamline workflows, and drive innovation in your field.BERT Model with HuggingFace- implement BERT model for sentiment analysis using huggingface transformers.By the end of this course, you'll be able to:Confidently navigate the world of Generative AI and LLMs.Craft prec
Welcome to "Generative AI Basics for Beginners" - the perfect course for anyone excited to explore the world of Generative AI (GenAI) and its amazing potential. This course is designed to give you a solid understanding of basic concepts, practical uses in different industries, and hands-on practice. It’s ideal for anyone new to AI, professionals looking to learn more, or anyone simply curious about this cutting-edge technology.In this course, you'll learn the essentials of Generative AI, see how it’s used in real life, and get to work on practical projects. We’ve made sure the content is easy to follow, even if you’re starting from scratch.To enhance your learning experience even further, we provide lifetime support for any questions you may have. You can always reach out to us for help, no matter how long it’s been since you started the course. So, join us and see how Generative AI can help you grow your skills and open up new career opportunities.Why Dive into Generative AI?Generative AI is revolutionizing how we create content—from text and images to music—making it a powerful tool across various industries. Understanding this technology will not only enhance your career prospects but also allow you to innovate and solve complex problems with ease.Course Highlights:Beginner-Friendly: Designed specifically for those new to AI and machine learning, with clear and straightforward explanations.Hands-On Experience: Work on your own AI projects and acquire hands-on skills through interactive exercises.Industry-Relevant Knowledge: Discover how Generative AI is transforming areas such as software development and marketing through real-world applications.Expert Guidance: Benefit from the extensive expertise of the instructor in AI and cloud technologies.Ethical and Future-Oriented: Delve into AI's ethical implications and fut
Welcome to the "Mastering AI Conversations: ChatGPT 2025 Masterclass" on Udemy, where you will learn how to build intelligent chatbots and conversational agents that can engage in natural language conversations with humans.In this course, you will be taught by ChatGPT, a large language model trained by OpenAI, which has been developed to understand and respond to human language in a way that is natural and intuitive.Throughout the course, ChatGPT will guide you through the basics of natural language processing (NLP) and machine learning (ML), and show you how to build and train your own chatbot using the latest AI technologies.You will learn how to design conversational flows, handle user inputs, and generate responses that are both informative and engaging. You will also gain a deep understanding of the underlying technologies that power modern chatbots, such as neural networks, sequence-to-sequence models, and attention mechanisms.By the end of the course, you will have the skills and knowledge necessary to build your own AI-powered chatbot that can converse with users on a wide range of topics, from customer support to personal assistants.So if you're ready to take your AI conversational skills to the next level, enroll in the "Mastering AI Conversations: ChatGPT 2025 Masterclass" today and start building your own intelligent chatbot!
This course covers using AI models for image-to-text (vision), text-to-speech, and speech-to-text tasks using the latest APIs. It is part of the 'Getting Started with Generative AI API Specialization'.
This course was designed with the support of AI to provide an improved learning.Transform yourself from someone who struggles with AI buzzwords into a confident Natural Language Processing expert who understands both the foundational science and cutting-edge innovations that power today's AI revolution. This comprehensive course, developed with AI assistance, takes you on a complete journey from classical linguistics to the Transformer architecture behind ChatGPT, BERT, and every modern language model.Master the Complete NLP Pipeline From Classical Methods to Modern AI• Build rock-solid foundations with computational linguistics, morphology, and semantic analysis• Implement classic algorithms like TF-IDF, Hidden Markov Models, and Part-of-Speech tagging• Understand the revolutionary shift from RNNs to Transformers and why attention mechanisms changed everything• Decode the science behind BERT, GPT, and how RLHF makes AI assistants helpful and harmless• Navigate the ethical implications of bias in language models with practical mitigation strategies• Explore cutting-edge multimodal AI where vision meets language in models like CLIP and LLaVA• Grasp the geopolitical landscape of AI development, from data sovereignty to the global "chip war"This isn't just another coding tutorial – it's your complete guide to understanding how machines truly comprehend human language.The demand for NLP expertise has exploded by 400% over the past 3 years, with companies desperately seeking professionals who understand both the technical foundations and practical applications. While others struggle with surface-level tutorials, you'll gain deep comprehension of the underlying mechanisms that drive a $43 billion industry. The pressure to implement AI soluti
This tutorial introduces Neuro-Symbolic AI as a method to enhance Large Language Models (LLMs). It focuses on making LLMs more robust, explainable, and instructable by combining symbolic knowledge structures with statistical learning techniques. The goal is to address the limitations of black-box LLMs, particularly in terms of transparency and domain-specific protocol understanding.
This course covers everything from Large Language Models (LLMs) and prompt engineering to fine-tuning , as well as advanced concepts like Direct Preference Optimization (DPO). You'll also dive deep into Retrieval-Augmented Generation (RAG), which enhances your LLMs' capabilities by integrating retrieval systems for more accurate and superior responses.By the end of this course, you'll be equipped to create AI solutions that align perfectly with human intent and outperform standard models.What You Will GetIn addition to the core topics, our course features in-depth, real-world case studies on fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG). These case studies not only highlight cutting-edge techniques but also offer practical, hands-on insights into their application in real-world AI projects. By exploring actual scenarios and projects, learners will gain a deep understanding of how to effectively utilize these methods to solve complex challenges. The case studies are designed to bridge the gap between theory and practice, enabling participants to see how these advanced techniques are deployed in industry settings.Moreover, these examples provide a step-by-step framework for applying theoretical concepts to real-world applications. Whether it's fine-tuning models for enhanced performance, engineering prompts for improved outputs, or leveraging retrieval systems to augment generation, learners will be able to confidently implement these strategies in their own projects. This ensures that by the end of the course, participants will not only have a solid foundation in generative AI concepts but also the ability to apply them in practical, impactful ways.
An article that delves into seven essential AWS services and architectural patterns that solutions architects need to know to successfully design and implement AI-powered solutions in the cloud.
A learning destination by Cohere for mastering Enterprise AI technologies, designed for developers and technical professionals. It offers comprehensive resources and expert-led courses on topics like Large Language Models, Text Representation, Semantic Search, and Retrieval-Augmented Generation (RAG).
This course covers the core concepts of Generative AI and its practical applications in cybersecurity, including hands-on experience with tools for threat detection and mitigation.
Bienvenidos a este Curso Completo de Data Science en Python Desde Cero. En este curso, aprenderemos cómo usar Python para Data Science. Aprenderemos cómo recopilar datos, limpiar datos, hacer visualizaciones y construir un modelo de machine learning usando Python.El objetivo principal de este curso es llevar tus habilidades analíticas y de programación al siguiente nivel para desarrollar tu carrera como data scientist. Para lograr este objetivo, vamos a resolver +100 ejercicios y varios proyectos que te ayudarán a poner en práctica todos los conceptos de programación utilizados en Data Science.Aprenderemos las principales librerías de Python utilizadas en data science, como Pandas, Numpy y Scikit Learn, y las usaremos para hacer tareas que data scientist realizan a diario (limpieza de datos, visualización de datos, recopilación de datos y creación de modelos).Este curso cubre 4 secciones.1. Curso básico de Python para Data Science: En la primera sección, aprenderemos todos los conceptos básicos de Python que necesita saber para data science. Aprenderemos a usar variables, listas, diccionarios y más.2. Python para análisis de datos: Aprenderemos las librerías de Python que se utilizan para el análisis de datos, como Pandas y Numpy. Ambas son excelentes herramientas para explorar y trabajar con datos. Usaremos Pandas y Numpy para realizar tareas de data science como limpiar y preparar datos.3. Python para visualización de datos: En la tercera sección, aprenderemos como hacer visualizaciones estáticas e interactivas con Pandas. Además, te mostraré algunas técnicas para realizar correctamente la visualización de datos.4. Machine Learning con Python: En la cuarta sección, aprenderemos scikit-learn resolviendo un problema de clasificación de texto en Python. Esta es la librería de machine learning más popular en Python y no solo aprenderemos como implementar algoritmos de machine learning en Python, sino que también aprenderemos conceptos básicos detrás de los a
Learn how to use ChatGPT and GPT-4 the right way. Why? because like with every other tool out there: an AVERAGE skill will lead to AVERAGE results.Go BEYOND average! Solve real problems, increase your productivity and your professional potential with AI systems like ChatGPT and GPT-4.This prompt engineering course is made for everyone (both non-technical and technical folks who want to start exploring the topic) . It starts with the most basic aspects and gradually goes to more advanced concepts of prompt engineering. It provides the uninitiated with a strong foundation but may also provide more seasoned AI users with some useful knowledge.The last update includes an entirely new section about:- The Advanced Data Analysis Plugin (a.k.a. The Code Interpreter)- ChatGPT plugins explained with real-life, useful examples- How Custom Instructions can be used to improve the user experience in using ChatGPTI have designed this course as a structured and methodical approach for learning prompt engineering. Once you'll understand the core principles and methods that I teach, you will be able to apply them for any AI system (such as Claude, Mistral, Llama, Bard or others) regardless of your use case or technical ability.Training has been my primary profession for more than 15 years now. Teaching more than 15,000 students during my career (both in class and online) I have received countless positive feedback and reactions. And I have constantly worked on improving my knowledge and delivery style. This course is a great investment in YOURSELF. I’ve personally put a lot of work into creating this material and I have optimized it to give you the upmost important knowledge about this topic in the shortest amount of tim
An intensive online certification program on mastering the use of AI in smart energy grids. It covers AI applications for real-time energy monitoring and machine learning algorithms for demand forecasting.
A 16-week online certificate program that teaches how to build and apply Generative AI techniques. A project in the course involves developing a Generative AI system to automate the drafting of NIH research proposals.
Welcome to the ultimate ChatGPT and Python Data Science course—your golden ticket to mastering the art of data science intertwined with the latest AI technology from OpenAI.This course isn't just a learning journey—it's a transformative experience designed to elevate your skills and empower you with practical knowledge.With AI's recent evolution, many tasks can be accelerated using models like ChatGPT. We want to share how to leverage AI it for data science tasks.Embark on a journey that transcends traditional learning paths. Our curriculum is designed to challenge and inspire you through:Comprehensive Challenges: Tackle 10 concrete data science challenges, culminating in a case study that leverages our unique 365 data to address genuine machine learning problems.Real-World Applications: From preprocessing with ChatGPT to dissecting a furniture retailer's client database, explore a variety of industries and data types.Advanced Topics: Delve into retail data analysis, utilize regular expressions for comic book analysis, and develop a ChatGPT-powered movie recommendation system. Engage with such critical topics as AI ethics to combat biases and ensure data privacy.This course emphasizes practical application over theoretical knowledge, where you will:Perform dynamic sentiment analysis using a Naïve Bayes algorithm.Craft nuanced classification reports with our proprietary data.Gain hands-on experience with real datasets—preparing you to solve complex data science problems confidently.We’ll be using ChatGPT, Python, and Jupyter Notebook throughout the course, and I’ll link all the datasets, Notebooks for you to play around with on your own.I'll help you create a ChatGPT profile, but I’ll assume you're adept in Python and somewhat experienced in machine learning. Are you ready to dive into the
As data scientists, we know the importance of being able to process and analyze large amounts of data quickly and accurately. However, with the explosion of data in recent years, traditional methods are becoming increasingly inadequate. That's where ChatGPT comes in.In this course, you'll learn how to use ChatGPT in data science, including how to train it on your own data and how to use it to generate new data. We'll also cover advanced techniques such as fine-tuning and transfer learning, so you can customize ChatGPT to your specific needs.Top Reasons why you should become a Data Scientist : Why data science? It is simple. Making sense of data will reduce the horrors of uncertainty for organizations. As organizations trying to meddle with petabytes of data, a data scientist’s role is to help them utilize this opportunity to find insights from this data pool.Data scientists are in constant demand because it is a data-heavy world!Be a part of the world's digital transformation.The demand for Data Science professionals is on the rise. This is one of the most sought-after profession currently.There are multiple opportunities across the Globe for everyone with this skill.Great career trajectory with data science – you will have rewarding career growth in this field.As a Data scientist, you can expect to take away a great salary package. Usual data scientists are paid great salaries, sometimes much above the normal market standards due to the critical roles and responsibilities.Competition is less, but demand is not.Top Reasons why you should choose this Course :This course is designed keeping in mind the students from all backgrounds - hence we cover everything from basics, and gradually progress towards more important topics around leveraging ChatGPT as a Data Scientist.</
Learn the theory of Seq2Seq in only 2 hours! A straight to the point course for those of you who don't have a lot of time.Embark on an academic adventure with our specialized online course, meticulously designed to illuminate the theoretical aspects of Seq2Seq (Sequence to Sequence) models within the realms of Deep Learning and Natural Language Processing (NLP).What This Course Offers:Exclusive Focus on Seq2Seq Model Theories: Our course curriculum is devoted to exploring the intricacies and theoretical foundations of Seq2Seq models. Delve into the principles and mechanics that make these models a cornerstone in NLP and Deep Learning.In-Depth Conceptual Insights: We take you through a comprehensive journey, dissecting the core concepts, architectures, and training of Seq2Seq models. Our focus is on fostering a deep understanding of these complex theories.Theory-Centric Approach: Emphasizing theoretical knowledge, this course intentionally steers away from practical coding exercises. Instead, we concentrate on building a robust conceptual framework around Seq2Seq models.Ideal for Theoretical Enthusiasts: This course is perfectly suited for students, educators, researchers, and anyone with a keen interest in the theoretical aspects of Deep Learning and NLP, specifically in the context of Seq2Seq models.Join us to master the theoretical nuances of Seq2Seq models in Deep Learning and NLP. Enroll now for an enlightening journey into the heart of these transformative technologies!And last but not least you will get a great series of Prizes providing extra case studies in Artificial Intelligence made by ChatGPT.Can't wait to see you inside the class,Kirill & Hadelin
KI Prompt Engineering Techniken für LLMs: Tipps & TricksEntfessele das volle Potenzial von KI-Sprachmodellen!Keine lästigen Notizen während des Kurses!Konzentriere dich ganz auf das Lernen und profitiere von den bereits vorbereiteten Notizen und wissenschaftlichen Quellen im Begleitmaterial.Dieser Kurs ist ideal für:Einsteiger und Entdecker, die KI-Sprachmodelle wie ChatGPT 4, Google Gemini und Bing Chat im Alltag nutzen möchtenBerufstätige, die ihre Ergebnisse mit KI-Tools verbessern möchtenAlle, die mit den Standard-Ergebnissen von KI-Sprachmodellen nicht zufrieden sindLerninhalte:Grundlagen des Prompt Engineering: So steuerst du KI-Sprachmodelle präzise und effektivEinführung in Large Language Models (LLMs): Funktionsweise, Stärken und SchwächenVerschiedene Prompting-Techniken: Rollenzuweisung, Chain-of-Thought, Tree-of-Thought und mehrErweiterte Prompting-Strategien: Kontextualisierung, Kombinieren von Techniken und Nutzung von Prompt GeneratorenPraktische Anwendungen: Fallbeispiele aus verschiedenen BranchenTipps & Tricks: Vermeiden von Fehlern und Optimierung Ihrer PromptsErhalte:Umfassendes Wissen über Prompt Engineering und LLMsPraktische Fähigkeiten zum Erstellen effektiver PromptsZugang zu einer Community von GleichgesinntenExklusives Begleitmaterial:Fertig geschriebene, aufgearbeitete Notizen zu allen theoretischen Kapiteln<p
Discover the power of building AI-powered applications entirely in Kotlin with our comprehensive course on Jetpack Compose, Langchain4j, and Ollama (Local LLM). Whether you're a seasoned developer or a newcomer, this course equips you with the skills to harness these cutting-edge technologies and stay relevant in this AI driven industry. Throughout the course, we focus on practical hands-on learning, guiding you through the creation of six distinct applications leveraging Langchain4j:Hello World AI: Create an AI that greets users dynamically.Rephaser AI: Transform sentences into various tones for easy clipboard use.Unlost AI: Develop an AI to help users remember where they've placed their belongings.Text Adventure AI: Construct interactive storytelling experiences using AI.ResumeQnA AI: Utilize AI to summarize resumes and retrieve candidate information interactively.RAG Medium Articles AI: Build a Retrieval-Augmented Generation (RAG) AI for summarizing and querying public Medium articles.You'll gain proficiency in Jetpack Compose for designing modern, responsive UIs and harness Langchain4j and Ollama for AI model management and natural language processing tasks. Learn essential Kotlin programming techniques to seamlessly integrate these technologies and optimize performance on local platforms.Join us to unlock the potential of Kotlin-based AI app development with practical skills and real-world applications in demand today.
Learn Machine Learning from scratch, this course for beginners who want to learn the fundamental of machine learning and artificial intelligence. The course includes video explanation with introductions(basics), detailed theory and graphical explanations. Some daily life projects have been solved by using Python programming. Downloadable files of ebooks and Python codes have been attached to all the sections. The lectures are appealing, fancy and fast. They take less time to walk you through the whole content. Each and every topic has been taught extensively in depth to cover all the possible areas to understand the concept in most possible easy way. It's highly recommended for the students who don’t know the fundamental of machine learning studying at college and university level.The objective of this course is to explain the Machine learning and artificial intelligence in a very simple and way to understand. I strive for simplicity and accuracy with every definition, code I publish. All the codes have been conducted through colab which is an online editor. Python remains a popular choice among numerous companies and organization. Python has a reputation as a beginner-friendly language, replacing Java as the most widely used introductory language because it handles much of the complexity for the user, allowing beginners to focus on fully grasping programming concepts rather than minute details. Below is the list of topics that have been covered:Introduction to Machine LearningSupervised, Unsupervised and Reinforcement learningTypes of machine learningPrincipal Component Analysis (PCA)Confusion matrixUnder-fitting & Over-fittingClassificationLinear RegressionNon-linear Regression</
Are you ready to unlock the real power of ChatGPT? In this hands-on ChatGPT masterclass, you'll learn how to transform raw ideas into high-impact digital content for sales, marketing, education, and productivity—even if you have no background in copywriting or design.Step by step, you'll discover how to:Write compelling headlines, subheadlines, emails, and sales pages using AIGenerate visual prompts and assets with Canva and ChatGPTBuild high-converting sales funnels with psychological structure and clarityAutomate your content creation workflow to save time and energyUse tools like Google Talk to Books and semantic search for credible research and citationsThis course is 100% practical. You’ll get real-world examples, easy-to-follow tutorials, editable templates, AI prompt sheets, and aditional resources you can apply right away. Everything is designed to help you take action fast and create content that sells with confidence.Whether you're an entrepreneur, freelancer, educator, digital marketer, or content creator, this course will teach you how to use artificial intelligence strategically to enhance your communication, storytelling, and conversion results.You’ll also receive immediate access to a complete set of premium downloadable materials, including over 100,000 expert-level ChatGPT prompts in both eBook and Excel format—ready to inspire, guide, and scale your AI-assisted content creation.Enroll now and start using ChatGPT and prompt engineering to create content that persuades, performs, and grows your business with clarity and impact.
Welcome! This comprehensive course is designed for individuals eager to dive into the world of Large Language Models (LLMs) and harness their power to create innovative applications that can simplify tasks in everyday life.Course OverviewIn this course, you will learn how to effectively utilize various libraries and frameworks, including Ollama, LangChain, CrewAI, and Hugging Face, to build practical projects that demonstrate the capabilities of LLMs. Through hands-on projects, you will gain a deep understanding of how these technologies work together to enhance productivity and creativity.What You Will LearnUnderstanding LLMs: Gain insights into the architecture and functioning of Large Language Models, including their applications in natural language processing (NLP).Ollama and LangChain: Learn how to leverage Ollama for efficient model deployment and LangChain for building complex applications that integrate multiple components seamlessly.Hugging Face Transformers: Explore the Hugging Face library to access a wide range of pre-trained models for various NLP tasks.Practical Applications: Implement real-world projects that showcase the power of LLMs in different contexts.Project HighlightsLearning Python Tool with Ollama: Create an interactive tool that helps users learn Python programming through guided exercises and instant feedback using an LLM.Make a Video Describer: Develop an application that generates descriptive text for video content, enhancing accessibility and understanding for users.Chat with PDF using Ollama LLM: Build a chat interface that allows users to ask questions about the content of PDF documents, provi
Welcome to "Learn Hugging Face for Mastering Generative AI with LLMs". In today's AI-driven world, Hugging Face has become a central platform for working with Large Language Models (LLMs), which have revolutionized generative AI by enabling machines to generate human-like text, answer questions, and even create original content. This course is meticulously designed to give you a deep understanding of these models and how to harness their power using Hugging Face.Our journey begins with a robust introduction to LLMs, exploring their intricacies and how to manage their compute requirements, all within the Hugging Face ecosystem. From there, we dive into the world of Hugging Face, which provides an extensive collection of pre-trained models that can be applied in a wide range of innovative applications.Practical knowledge is essential, so the course transitions into a deep dive into Transformers, a key technology behind LLMs, with a special focus on Hugging Face implementations. You'll get hands-on experience with Hugging Face tools, manipulating datasets, building custom models, and mastering tokenization.Finally, we emphasize training, fine-tuning, and quantization, with models downloaded from Hugging Face. Learn how to adjust LLMs to your needs, whether for summarization or text generation. With techniques like Instruction Fine-tuning and PEFT, you'll master the art of fine-tuning models. We’ll even show you how to train a GPT-2 from scratch using Hugging Face to generate text from a custom dataset. Then finally, we will show you how to quantize your models so that they take up less memory.
This course leverages the power of both LangChain and LlamaIndex frameworks, along with OpenAI GPT and Google Gemini APIs, and Vector Databases like ChromaDB and Pinecone. It is designed to provide you with a comprehensive understanding of building advanced LLM RAG applications through in-depth conceptual learning and hands-on sessions. The course covers essential aspects of LLM RAG apps, exploring components from both frameworks such as Agents, Tools, Chains, Memory, QueryPipelines, Retrievers, and Query Engines in a clear and concise manner. You'll also delve into Language Embeddings and Vector Databases, enabling you to develop efficient semantic search and similarity-based RAG applications. Additionally, the course covers various Prompt Engineering techniques to enhance the efficiency of your RAG applications.List of Projects/Hands-on included: Develop a Conversational Memory Chatbot using downloaded web data and Vector DBCreate a CV Upload and Semantic CV Search App Invoice Extraction RAG AppCreate a Structured Data Analytics App that uses Natural Language Queries ReAct Agent: Create a Calculator App using a ReAct Agent and ToolsDocument Agent with Dynamic Tools: Create multiple QueryEngineTools dynamically and orchestrate queries through AgentsSequential Query Pipeline: Create Simple Sequential Query PipelinesDAG Pipeline: Develop complex DAG PipelinesDataframe Pipeline: Develop complex Dataframe Analysis Pipelines with Pandas Output Parser and Response SynthesizerWorking with SQL Databases: Develop SQL Database ingestion BotCreate a FAST API for your LangChain Application just
Hi there,Welcome to my " Data Science | The Power of ChatGPT in Python & Data Science " course.Data Science & ChatGPT | Complete Hands-on Python Training using Chat GPT with Data Science, AI, Machine LearningData science application is an in-demand skill in many industries worldwide — including finance, transportation, education, manufacturing, human resources, and banking. Explore data science courses with Python, statistics, machine learning, and more to grow your knowledge. Get data science training if you’re into research, statistics, and analytics.Python instructors at OAK Academy specialize in everything from software development to data analysis and are known for their effective, friendly instruction for students of all levels.Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. Python, python programming, python examples, python example, python hands-on, pycharm python, python pycharm, python with examples, python: learn python with real python hands-on examples, learn python, real pythonPython's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks.ChatGPT is a prototype AI chatbot developed by OpenAI that specializes in conversation. A chatbot is a large language model that has been fine-tuned with both supervis
Ever wondered how AI technologies like OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion really work? In this course, you will learn the foundations of these groundbreaking applications.In this course you will build MULTIPLE practical systems using natural language processing, or NLP - the branch of machine learning and data science that deals with text and speech. This course is not part of my deep learning series, so it doesn't contain any hard math - just straight up coding in Python. All the materials for this course are FREE.After a brief discussion about what NLP is and what it can do, we will begin building very useful stuff. The first thing we'll build is a cipher decryption algorithm. These have applications in warfare and espionage. We will learn how to build and apply several useful NLP tools in this section, namely, character-level language models (using the Markov principle), and genetic algorithms.The second project, where we begin to use more traditional "machine learning", is to build a spam detector. You likely get very little spam these days, compared to say, the early 2000s, because of systems like these.Next we'll build a model for sentiment analysis in Python. This is something that allows us to assign a score to a block of text that tells us how positive or negative it is. People have used sentiment analysis on Twitter to predict the stock market.We'll go over some practical tools and techniques like the NLTK (natural language toolkit) library and latent semantic analysis or LSA.Finally, we end the course by building an article spinner. This is a very hard problem and even the most popular products out there these days don't get it right. These lectures are designed to just get you started and to giv
Deep Learning is a hot topic today! This is because of the impact it's having in several industries. One of the fields in which deep learning has the most influence today is Natural Language Processing.To understand why Deep Learning based Natural Language Processing is so popular; it suffices to take a look at the different domains where giving a computer the power to understand and make sense out of text and generate text has changed our lives.Some applications of Natural Language Processing are in:Helping people around the world learn about any topic ChatGPTHelping developers code more efficiently with Github Copilot.Automatic topic recommendation in our Twitter feedsAutomatic Neural Machine Translation with Google TranslateE-commerce search engines like those of AmazonCorrection of Grammar with GrammarlyThe demand for Natural Language Processing engineers is skyrocketing and experts in this field are highly paid, because of their value. However, getting started in this field isn’t easy. There’s so much information out there, much of which is outdated and many times don't take the beginners into consideration :(In this course, we shall take you on an amazing journey in which you'll master different concepts with a step-by-step and project-based approach. You shall be using Tensorflow 2 (the world's most popular library for deep learning, built by Google) and Huggingface transformers (most popular NLP focused library ). We shall start by understanding how to build very simple models (like Linear regression model for car price prediction and RNN text classifiers for movie revi
Are you tired of AI-generated content that feels bland, robotic, and nothing like you? It’s time to take control. In this transformative course, you’ll discover how to unlock ChatGPT’s full potential, teaching it to write with your unique voice, personality, and style. You will learn everything about ChatGPT and Prompt Engineering in this course. Whether you’re crafting blog posts, social media captions (whether it's for Instagram, TikTok, Facebook or Youtube), newsletter, or web content, this course will show you how to go beyond generic AI output to create content that’s engaging, authentic, and unforgettable.Unlock the true potential of AI-generated content and make ChatGPT work for you. If you’ve ever been frustrated by generic, lifeless AI output, this course will revolutionize how you collaborate with ChatGPT. Learn different patterns to transform it from a robotic assistant into a creative powerhouse that reflects your voice and engages your audience authentically!Why This Course WorksThis isn’t about shortcuts. It’s about building a system—a process that lets you approach AI-generated content with intention and creativity. By the end of this course, you’ll have the tools, strategies, and confidence to create content that feels alive, like it was written by someone who cares!Whether you’re a content creator, marketer, influencer, or entrepreneur or solopreneur, this course will show you how to use AI not just as a tool but as a partner in bringing your ideas to life. If you’re building your personal brand on Instagram, Facebook, TikTok, or YouTube, optimizing for SEO, or simply looking to inject more creativity into your writing, you’re in the right place.Maybe you’re selling art, growing a following, or crafting content to connect with your audience—this course will show you how to make ChatGPT your secret weapon. With OpenAI as your creative partner, you’ll save time, stay aligned with your goals, and create content that truly stands out in toda
Large Language Models like GPT-4, Llama, and Mistral are no longer science fiction; they are the new frontier of technology, powering everything from advanced chatbots to revolutionary scientific discovery. But to most, they remain a "black box." While many can use an API, very few possess the rare and valuable skill of understanding how these incredible models work from the inside out.What if you could peel back the curtain? What if you could build a powerful, modern Large Language Model, not just by tweaking a few lines of code, but by writing it from the ground up, line by line?This course is not another high-level overview. It's a deep, hands-on engineering journey to code a complete LLM—specifically, the highly efficient and powerful Mistral 7B architecture—from scratch in PyTorch. We bridge the gap between abstract theory and practical, production-grade code. You won't just learn what Grouped-Query Attention is; you'll implement it. You won't just read about the KV Cache; you'll build it to accelerate your model's inference.We believe the best way to achieve true mastery is by building. Starting with the foundational concepts that led to the transformer revolution, we will guide you step-by-step through every critical component. Finally, you'll take your custom-built model and learn to deploy it for real-world use with the industry-standard, high-performance vLLM Inference Engine on Runpod.After completing this course, you will have moved from an LLM user to an LLM architect. You will possess the first-principles knowledge that separates the experts from the crowd and empowers you to build, debug, and innovate at the cutting edge of AI.You will learn to build and understand:The Origins of LLMs: The evolution from RNNs to the Attention mechanism that started it all.The Transformer
This course has been designed by a specialist team of software developers who are passionate about using JavaScript with Machine Learning. We will guide you through complex topics in a practical way, and reinforce learning with in-depth labs and quizzes.This is the tutorial you've been looking for to become a modern JavaScript machine learning master in 2020. It doesn’t just cover the basics, by the end of the course you will have advanced machine learning knowledge you can use on you resume. From absolute zero knowledge to master - join the TensorFlow.js revolution.
Dive into the cutting-edge world of Direct Preference Optimization (DPO) and Large Language Model Alignment with this comprehensive course designed to equip you with the skills to leverage the LLaMA3 8-billion parameter model and Hugging Face's Transformer Reinforcement Learning (TRL). Using the powerful Google Colab platform, you will get hands-on experience with real-world applications, starting with the Intel Orca DPO dataset and incorporating advanced techniques like Low-Rank Adaptation (LoRA).Throughout this course, you will:Learn to set up and utilize the LLaMA3 model within Google Colab, ensuring a smooth and efficient workflow.Explore the capabilities of Hugging Face’s TRL framework to conduct sophisticated DPO tasks, enhancing your understanding of how language models can be fine-tuned to optimize for specific user preferences.Implement Low-Rank Adaptation (LoRA) to modify pre-trained models efficiently, allowing for quick adaptations without the need to retrain the entire model, a crucial skill for real-world applications.Train on the Intel Orca DPO dataset to understand the intricacies of preference data and how to manipulate models to align with these insights.Extend your learning by applying these techniques to your own datasets. This flexibility allows you to explore various sectors and data types, making your expertise applicable across multiple industries.Master state-of-the-art techniques that prepare you for advancements in AI and machine learning, ensuring you stay ahead in the field.This course is perfect for data scientists, AI researchers, and anyone keen on harnessing the power of large language models for preference-based machine learning tasks. Whether you're looking to improve product recommendations, customize user experiences, or drive decision-making processes, the skills you acquire here will be invaluable.Join us to transform your theoretical knowledge int
Unlock the fast track to machine learning mastery with our comprehensive course, "Hands-on Machine Learning in Python & ChatGPT." Dive deep into hands-on tutorials utilizing essential tools like Pandas, Numpy, Seaborn, Scikit-learn, Python, and the innovative capabilities of ChatGPT. This course is designed to guide you seamlessly through every stage of the machine learning process, ensuring a complete workflow that empowers you to tackle tasks such as data cleaning, manipulation, preprocessing, and the development of powerful supervised and unsupervised machine learning models.In this immersive learning experience, gain proficiency in crafting supervised models, including Linear Regression, Logistic Regression, Random Forests, Decision Trees, SVM, XGBoost, and KNN. Unleash the power of unsupervised models like KMeans and DBSCAN for cluster analysis. The course is strategically structured to enable you to navigate through these complex concepts swiftly, effortlessly, and with precision.Our primary objective is to equip you with the skills to build machine learning models from scratch, leveraging the combined strength of Python and ChatGPT. You will not only learn the theoretical foundations but also engage in practical exercises that solidify your understanding. By the end of the course, you'll have the expertise to measure the accuracy and performance of your machine learning models, enabling you to make informed decisions and select the best models for your specific use case.Whether you are a beginner eager to enter the world of machine learning or an experienced professional looking to enhance your skill set, this course caters to all levels of expertise. Join us on this learning journey, where efficiency meets excellence, and emerge with the confidence to tackle real-world machine learning challenges head-on. Fast-track your way to becoming a proficient machine learning practitioner with our dynamic and comprehensive course.
The AI revolution is accelerating at an unimaginable pace, and those who master Large Language Models (LLMs) and Agentic AI will define the future of technology. The "Large Language Models (LLMs) & AI Agents Masterclass" is an intensive hands-on program designed to equip professionals and enthusiasts with the skills needed to build real-world AI applications. Whether you’re a developer, data scientist, researcher, or technology leader, this bootcamp provides the tools and knowledge to navigate and innovate in this fast-evolving space confidently.You will begin by exploring the foundations of LLMs and agent frameworks, including how to benchmark models using LM Studio. The course then guides you through working with powerful closed-source APIs from providers like OpenAI, Gemini, and Claude. You will learn how to structure system and user messages, understand tokenization, and control outputs to build projects such as AI-powered text generators and vision-enabled calorie trackers.As you advance, you’ll dive into the world of open-source LLMs. You will fine-tune models on Hugging Face using state-of-the-art techniques like LoRA and Parameter-Efficient Fine-Tuning (PEFT). Alongside this, you’ll gain experience designing AI-powered web applications using Gradio, creating interactive streaming apps, and building intelligent AI tutors.A core component of the bootcamp focuses on mastering prompt engineering, including zero-shot, few-shot, and chain-of-thought prompting techniques to achieve consistent and controlled outputs. You'll also explore advanced capabilities such as building Retrieval-Augmented Generation (RAG) pipelines and working with embeddings for semantic search and knowledge retrieval.The program concludes with the development of next-generation AI agents. You will use frameworks like AutoGen, OpenAI Agents SDK, LangGraph, n8n, and MCP t
You will learn ChatGPT and Generative AI in this course. In recent years, the field of artificial intelligence (AI) has experienced a transformative shift with the emergence of generative AI technologies. Among the most prominent examples is ChatGPT, a language model developed by OpenAI. Built on the GPT (Generative Pre-trained Transformer) architecture, ChatGPT exemplifies how AI can generate human-like text, enabling new possibilities in communication, creativity, and productivity.Generative AI refers to algorithms capable of creating new content—text, images, music, code, and more—by learning from existing data. Unlike traditional AI, which primarily classifies or analyzes information, generative AI can produce original outputs that mimic human expression. ChatGPT, specifically, has been trained on vast datasets of text from the internet, allowing it to understand context, respond to prompts, and carry on conversations in a coherent and often insightful manner. This ability to generate language that feels natural makes it useful in a wide range of applications, from writing assistance and customer support to education and software development.To unlock the power of generative AI effectively, users should learn prompt engineering—crafting questions or commands to guide the AI toward more accurate and relevant results. With proper guidance, ChatGPT can simulate conversations, summarize documents, draft content, translate languages, write code, and much more. As this technology evolves, its integration with other AI models, including image and video generators, will only increase its impact.ChatGPT and generative AI are reshaping the digital landscape. By understanding how these tools work and using them responsibly, individuals and organizations can unlock unprecedented capabilities, drive innovation, and redefine what is possible in human-AI collaboration.
Unlock the Future with AI: Master ChatGPT, ChatGPT o4 & the LLM Revolution!(Freshly Updated May 2025! This course is continuously revised to keep you at the cutting edge.)Are you ready to command the most transformative technology of our era? Welcome to "Exploring the Technologies Behind ChatGPT, ChatGPT o4 & LLMs" – your definitive launchpad to mastering the groundbreaking power of Large Language Models. This isn't just another AI course; it's an immersive journey designed to catapult you from curious novice to confident expert in the electrifying world of Natural Language Processing (NLP). Whether you're taking your first steps into AI or seeking to sharpen your advanced skills, prepare to be transformed.Why Is This Your Unmissable Opportunity?In today's hyper-digital landscape, understanding LLMs isn't just an advantage—it's a necessity. These revolutionary technologies are the engines driving innovation across every conceivable industry. They're reshaping how we interact, automating complex tasks, creating compelling content, and unlocking efficiencies previously unimaginable.This course is meticulously crafted for:Aspiring Developers: Build next-gen AI applications.Data Scientists: Supercharge your analytical capabilities.Researchers: Push the boundaries of NLP.AI Enthusiasts: Deepen your passion with practical skills.Business Professionals: Leverage AI to drive strategic growth.We provide the critical tools, profound insights, and hands-on experience you need to not just understand, but harness these powerful technologies. Join the vanguard of the AI revolution and become an architect of the future!What Awaits You Inside? Prepare to Achieve Mastery:</p
A beginner-friendly project on creating a decision tree classifier using the R programming language.
Are you interested in Artificial Intelligence (AI), Machine Learning and Artificial Neural Network?Are you afraid of getting started with Deep Learning because it sounds too technical?Have you been watching Deep Learning videos, but still don’t feel like you “get” it?I’ve been there myself! I don’t have an engineering background. I learned to code on my own. But AI still seemed completely out of reach.This course was built to save you many months of frustration trying to decipher Deep Learning. After taking this course, you’ll feel ready to tackle more advanced, cutting-edge topics in AI.In this course:We assume as little prior knowledge as possible. No engineering or computer science background required (except for basic Python knowledge). You don’t know all the math needed for Deep Learning? That’s OK. We'll go through them all together - step by step.We'll "reinvent" a deep neural network so you'll have an intimate knowledge of the underlying mechanics. This will make you feel more comfortable with Deep Learning and give you an intuitive feel for the subject.We'll also build a basic neural network from scratch in PyTorch and PyTorch Lightning and train an MNIST model for handwritten digit recognition.After taking this course:You’ll finally feel you have an “intuitive” understanding of Deep Learning and feel confident expanding your knowledge further.If you go back to the popular courses you had trouble understanding before (like Andrew Ng's courses or Jeremy Howards' Fastai course), you’ll be pleasantly surprised at how much more you can understand.You'll be able to understand
Course overviewTransform how you communicate with large language models. This intensive, hands-on program teaches the principles and practice of prompt engineering for modern LLMs (ChatGPT, GPT-4 and similar models). Learners will master a proven set of techniques to reliably shape outputs, extract high-value insights, and optimize model performance for real-world tasks.Why this coursePractical focus: workshops, real-world case studies, and iterative feedback cycles.Framework-driven: learn a repeatable prompt-design method (instruction, context, examples, persona, format, tone) to improve consistency and controlTool-ready: apply techniques across ChatGPT/GPT-4 and complementary AI tools used in industry workflowsCourse structureFoundation & TheoryModern LLM architectures and capabilities (ChatGPT, GPT-4, distinctions from GPT-3.5)Core prompt engineering principles and behavioral mechanicsContextual conversation design and session-state managementResponse quality metrics and performance boundariesPractical ApplicationsHands-on prompt-crafting labs with iterative testing and evaluationIndustry-specific use cases (marketing, product, data, support, engineering)Peer review & instructor feedback sessionsPerformance tuning and evaluation exercisesCore modules (7)Module 1 — ChatGPT & LLM EssentialsLLM architectures, strengths, and limitationsModel behavior, safety considerations, and hallucination mitigationModule 2 — Engineering FundamentalsCore prompt-building blocks and decompositionOutput-targeting techniques and common pitfallsModule 3 — Context Mastery<
In this course I will cover, how to develop a Sentiment Analysis model to categorize a tweet as Positive or Negative using NLP techniques and Machine Learning Models. This is a hands on project where I will teach you the step by step process in creating and evaluating a machine learning model and finally deploying the same on Cloud platforms to let your customers interact with your model via an user interface.This course will walk you through the initial data exploration and understanding, data analysis, data pre-processing, data preparation, model building, evaluation and deployment techniques. We will explore NLP concepts and then use multiple ML algorithms to create our model and finally focus into one which performs the best on the given dataset.At the end we will learn to create an User Interface to interact with our created model and finally deploy the same on Cloud.I have splitted and segregated the entire course in Tasks below, for ease of understanding of what will be covered.Task 1 : Installing Packages.Task 2 : Importing Libraries.Task 3 : Loading the data from source.Task 4 : Understanding the dataTask 5 : Preparing the data for pre-processingTask 6 : Pre-processing steps overviewTask 7 : Custom Pre-processing functionsTask 8 : About POS tagging and Lemmatization Task 9 : POS tagging and lemmatization in action.Task 10 : Creating a word cloud of positive and negative tweets.Task 11 : Identifying the most frequent set of words in the dataset for positive and negative cases.Task 12 : Train Test SplitTask 13 : About TF-IDF VectorizerTask 14 : TF-IDF Vectorizer in actionTask 15 : About Confusion MatrixTask 16 : About Classification ReportTask 17 : About AUC-ROCT
Welcome to the Captivating World of LLM Prompt Engineering!This course empowers you to unlock the true potential of Large Language Models (LLMs), regardless of your experience level. Whether you're a seasoned professional or a curious beginner, this comprehensive program equips you with the skills to become a master of LLM prompt engineering.Master the Art of Crafting Powerful Prompts:Diverse Task Applications: Craft effective prompts tailored to various tasks, including generating informative summaries, creating captivating stories, or even translating languages, all through the power of well-designed prompts.Advanced Techniques Exploration: Move beyond the basics and delve into advanced concepts like iterative prompting, where you refine your prompt based on the LLM's initial output. Additionally, explore few-shot learning, allowing you to achieve impressive results even with limited data.Core LLM Concepts Demystified: Gain a solid understanding of fundamental LLM properties like statelessness and quantization. Explore how these properties impact prompt design and LLM behavior. Learn to identify and mitigate potential hallucinations in LLM outputs.Unleash LLM Capabilities Through Hands-on Learning:Code Walkthroughs Deepen Understanding: Go beyond theory with interactive code walkthroughs using Lamma 2 as a platform. Actively explore code examples to gain practical experience in setting up, configuring LLMs, working with advanced models (e.g., quantized models), and leveraging specialized notebooks like AWQ for optimized workflows.Real-World Applications Solidify Skills: This course emphasizes the practical application of LLM prompt engineering. Learn how to tailor prompts to solve specific real-world problems, ensuring accurate and creative AI outputs. Translate your newfound knowledg
The Generative Artificial Intelligence (AI) for Leaders course provides a comprehensive exploration of how generative AI (GenAI) can be integrated into business operations to drive innovation, efficiency, and growth. Designed for business leaders and managers, this course covers foundational knowledge, real-world applications, ethical considerations, and strategic implementation of GenAI technologies, going way beyond conversational models like ChatGPT and DeepSeek.Transformation - By Completing This Course, You Will Be Equipped to:Identify and leverage GenAI opportunities within their business operationsImplement AI-driven strategies to enhance customer engagement and employee productivityCultivate an AI-ready culture and manage change effectivelyUnderstand and navigate ethical considerations and governance models for AI adoptionLearn how to train and guide teams to make decisions that combine human intuition with AI-driven insights, unlocking the full potential of AI in the decision-making process.Exceptional Differentiators:Real-World Case Studies: Learn from practical examples where GenAI has transformed businesses across various industries.Comprehensive Approach: The course covers not just the technical aspects but also the strategic, cultural, and ethical implications of AI integration.Prompt Engineering Focus: A dedicated section on prompt engineering to ensure leaders understand how to guide AI towards desired outcomes.Strategic Integration: Provides a clear framework (PIVOT) for implementing AI-driven business models.AI-Driven Decision-Making Training: Equips leaders with the skills to train teams in leveraging AI for optimal decision-making.Capstone Project: Opportunity to apply learned concepts to build an AI-powered business model t
Discover how Generative Artificial Intelligence is transforming businesses by driving innovation and efficiency across multiple industries! This hands-on course offers an immersive dive into the world of LLMs (Large Language Models) and AI Agents, equipping you to create intelligent, automated solutions for real-world business challenges.With the rapid advancement of NLP (Natural Language Processing) and language models, companies and professionals are adopting these technologies to boost productivity and make decisions with greater precision. With this in mind, this course was designed to provide you with a practical, direct, and applicable learning experience. You will learn to implement solutions in Python, with a focus on applying LLMs to business contexts, but with skills that are versatile enough to be adapted to any real-world challenge.Throughout the course, you will master the key tools and frameworks in the generative AI ecosystem, including LangChain, LangGraph, LlamaIndex, CrewAI, Agno, and other open-source solutions. Learn to implement LLMs via Python APIs (both free and paid) or locally, exploring models such as Llama, DeepSeek, ChatGPT, Gemini, and more — always with an emphasis on real-world, scalable applications.You will act as a professional tasked with addressing diverse business needs. Through 8 practical case studies, you will be challenged to develop useful, customized applications applying generative AI in:Marketing: Create an AI marketing assistant to scale content creation. Effortlessly adapt text for diverse audiences, platforms, and goals.Customer Service & Support: Develop intelligent chatbots with RAG. Use real documents (e.g., manuals, PDFs) to provide accurate answers to customer questions.Human Resources: Automatically screen resumes and classify candidate
Are you interested in harnessing the power of AI to create groundbreaking language-based applications? Look no further than LangChain and Gen AI - a comprehensive course that will take you from a novice to an expert in no time. Implement Generative AI (GenAI) apps with langchain framework using different LLMs.By implementing AI applications powered with state-of-the-art LLM models like OpenAI and Hugging Face using Python, you will embark on an exciting project-based learning journey.With LangChain, you will gain the skills and knowledge necessary to develop innovative LLM solutions for a wide range of problems.Here are some of the projects we will work on:Project 1: Construct a dynamic question-answering application with the unparalleled capabilities of LangChain, OpenAI, and Hugging Face Spaces.Project 2: Develop an engaging conversational bot using LangChain and OpenAI to deliver an interactive user experience.Project 3: Create an AI-powered app tailored for children, facilitating the discovery of related classes of objects and fostering educational growth.Project 4: Build a captivating marketing campaign app that utilizes the persuasive potential of well-crafted sales copy, boosting sales and brand reach.Project 5: Develop a ChatGPT clone with an added summarization feature, delivering a versatile and invaluable chatbot experience.Project 6: MCQ Quiz Creator App - Seamlessly create multiple-choice quizzes for your students using LangChain and Pinecone.Project 7: CSV Data Analysis Toll - Helps you analyze your CSV file by answering your queries about its data.Project 8: Youtube Script Writing Tool - Effortlessly create compelling YouTube scripts with this user-friendly and efficient script-writing tool.Project
Join our interactive course, "Complete Guide to ChatGPT & Copilot for Python & R Projects", designed to give you hands-on experience in solving real data science problems using AI, Copilot, and ChatGPT. With Udemy's 30-day money-back guarantee in place, there's no need to worry if the class doesn't meet your expectations.The course is taught both in Python and R with RStudio. A complete installation guide on how to install and configure Python and R, was added in April 2024. It also explains how to connect RStudio to Python and use it as Python's IDE.Each lesson in this course stands alone, focusing on a different data science challenge.You'll learn how to apply AI tools like Copilot and ChatGPT to navigate through these challenges efficiently.Incorporating AI tools like Copilot and ChatGPT into your data science workflow can significantly enhance your speed and efficiency, often doubling (X2) or even increasing productivity tenfold (X10), depending on the task at hand.Here's what we'll cover, using practical, project-based learning:Data Clean-up and Tidy: Learn how to organize your data neatly, making it ready for analysis. This is a key step in data science to ensure your data is accurate and easy to work with. Using Pandas with Python and dplyr with R.Load Files of Different Formats: Discover how to bring in data from different kinds of files. This skill is important in data science because it lets you work with all sorts of data in tools like Copilot and ChatGPT.Data Visualization with Graphs: Find out how to use graphs to show your data in a clear and interesting way. Graphs help you see patterns and important points, which is a big part of data science.</
The ChatGPT Prompt Engineering Playbook - How To Maximize The Power Of Generative AI PromptsATTENTION SOLOPRENEURS: Are You Ready to take your business to the next level by quickly and easily creating all your marketing materials from your Web Page, all the way through to your autoresponder emails, with Artificial Intelligence? You want to do this so you can keep one step ahead of your competitors! And without spending a fortune on software! Is this what you would like to achieve?Then "Give Me A Couple Of Hours Of Your Time And I’ll Show You How to Correctly Use AI Tools, specifically the ChatGPT chatbot, even though these principles Apply In All AI tools, In Your Online Business"In this Course, You’ll Find Out How To Use AI Prompts To Get More Out of Content Creation ActivitiesOur focus is to teach you how to correctly use the concept of conversation with a machine, your computer, to have the machine return back to you exactly what you need.There is a tremendous demand today, and that demand is growing exponentially, for people who understand the “right way” to ask / prompt, A.I. tools to return correct, accurate, and verified information back to them.Let me ask you this question. Does the following sound like you?· You have been “dreaming” about a way that you can enter a few lines of text into your computer, and then with a click of the “enter” key have your computer generate all of your marketing materials?· You hate staring at a blank page and wondering, “Where do I start.”· You want content for your marketing web page that will sell your product when someone enters into it, but what you always end up with never seems to achieve the results you desire. But do not know how to correctly ask for that information.· You want content for your Lead Magnet Thankyou emails that will cause a desire in your customer to come back to your page for more.· You want content for your relationshi
This course provides an introduction to AI image generation using Stable Diffusion, covering denoising techniques and advanced generative learning methods like autoencoders and contrastive learning.
Ever wondered how AI technologies like OpenAI ChatGPT, GPT-4, Gemini Pro, Llama 3, DALL-E, Midjourney, and Stable Diffusion really work? In this course, you will learn the foundations of these groundbreaking applications.Hello friends!Welcome to Data Science: Transformers for Natural Language Processing.Ever since Transformers arrived on the scene, deep learning hasn't been the same.Machine learning is able to generate text essentially indistinguishable from that created by humansWe've reached new state-of-the-art performance in many NLP tasks, such as machine translation, question-answering, entailment, named entity recognition, and moreWe've created multi-modal (text and image) models that can generate amazing art using only a text promptWe've solved a longstanding problem in molecular biology known as "protein structure prediction"In this course, you will learn very practical skills for applying transformers, and if you want, detailed theory behind how transformers and attention work.This is different from most other resources, which only cover the former.The course is split into 3 major parts:Using TransformersFine-Tuning TransformersTransformers In-DepthPART 1: Using TransformersIn this section, you will learn how to use transformers which were trained for you. This costs millions of dollars to do, so it's not something you want to try by yourself!We'll see how these prebuilt models can already be used for a wide array of tasks, including:text classification (e.g. spam detection, sentiment analysis, document categorization)named entity recognitiontext summarizationmachine transla
„Künstliche Intelligenz in der Praxis: ChatGPT u. Prompt Engineering“In diesem Kurs erhalten die Teilnehmer eine fundierte Einführung in die Theorie und Praxis der Künstlichen Intelligenz (KI) mit besonderem Fokus auf das Sprachmodell ChatGPT von OpenAI. Dieser Kurs vermittelt detailliertes Wissen über die grundlegenden Konzepte des maschinellen Lernens und der Sprachverarbeitung und beleuchtet, wie KI-Modelle wie ChatGPT zur Optimierung von Geschäftsprozessen genutzt werden können. Dabei werden sowohl die technischen Mechanismen hinter ChatGPT – wie die innovative Transformer-Architektur – als auch die praktischen Anwendungen und Optimierungspotenziale von KI im betrieblichen Alltag anschaulich erläutert.Kursinhalte:Einführung in die Künstliche Intelligenz und maschinelles LernenGrundlagen der Sprachverarbeitung und Funktionsweise der Transformer-ArchitekturPraktische Anwendungsbereiche von ChatGPT: Kundenservice, interne Kommunikation und WissensmanagementDatenanalyse und Mustererkennung zur Identifikation von OptimierungspotenzialenImplementierung von ChatGPT zur Effizienzsteigerung: Automatisierung von Routineaufgaben und Verbesserung der ReaktionszeitenEthische und rechtliche Aspekte der KI-Nutzung, insbesondere Datenschutz und DSGVO-KonformitätLernziele: Am Ende dieses Kurses verstehen die Teilnehmer die Funktionsweise und Potenziale von ChatGPT und ähnlichen KI-Systemen und können deren Einsatz für die Prozessoptimierung in verschiedenen Bereichen bewerten. Sie erlernen, wie sie KI-Technologien in der Praxis sicher und effektiv einsetzen, Prozesse analysieren und potenzielle Effizienzsteigerungen identifizieren können. Zusätzlich erhalten sie das nötige Bewusstsein für die ethischen und rechtlichen Anforderungen, die den Einsatz von KI-Systemen begleiten.Zielgruppe: Dieser Kurs richtet sich an Fach- und Fü
Vom Nutzer zum Strategen: Meistere ChatGPT & Prompt Engineering für echte Resultate – in Marketing, Business & Tech.ChatGPT ist längst mehr als ein nettes Tool. Wer es strategisch einsetzt, gewinnt Tempo, Qualität und Reichweite. In dieser Masterclass machst du den Sprung vom Gelegenheitsnutzer zum Architekten wirksamer KI-Workflows – inkl. praxiserprobter Prompts, Templates und Automatisierung.Was dich erwartetFundament verstehen: Wie LLMs funktionieren (Chancen, Grenzen, Halluzinationen), warum Datensicherheit zählt und wie du sauber arbeitest.C.R.A.F.T.-System: Kontext, Rolle, Aufgabe, Format, Ton – dein roter Faden für Prompts, die konsistent Top-Ergebnisse liefern.Fortgeschrittene Techniken: Few-Shot, Negativ-Prompts, Chain/Tree of Thought, Self-Correction, Experten-Komitee, Persona-Design.Iteratives Vorgehen: Follow-ups, Eingrenzung, Schritt-für-Schritt-Anleitungen & Prompt-Ketten für komplexe Aufgaben.Praxisprojekt: Entwicklung einer Content-Strategie für ein fiktives Startup (Zielgruppen/Keywords → Content-Plan → Pillar-Page → Distribution).Marketing mit KI: SEO (Keyword-Cluster, Strukturen, FAQs, Schema Markup), Social Media (Kalender, virale Hooks, Community-Management),E-Mail-Marketing (Kampagnen, Betreff-A/B-Tests), Ads (Google & Facebook: Texte, Kampagnenstrukturen).Business & Productivity: Recherche, Präsentationen, Entscheidungsfindung (SWOT, Pro/Contra), Meeting-Vor/Nachbereitung, Vorlagen & Workflows.Dev & Data optional: C
Unlock the power of Generative AI, ChatGPT, and Prompt Engineering to work smarter, faster, and more creatively. This hands-on course teaches you how to use today’s most effective AI tools and automation techniques to improve productivity across writing, design, video creation, voice, data analysis, and web-related tasks.You will learn practical prompt engineering techniques and how to apply them correctly with industry-leading AI platforms. Instead of focusing on theory, this course emphasizes real-world use cases, workflows, and automation strategies that professionals, creators, and businesses use every day.Throughout the course, you will work with tools such as ChatGPT, Canva Magic Studio, Runway ML, ElevenLabs, Notion AI, DALL·E 3, and other modern generative AI platforms. You will understand not only how these tools work, but how to choose the right tool, design effective prompts, and integrate AI into your daily workflow.What Makes This Course DifferentClear and practical prompt engineering explained in a simple, beginner-friendly wayHands-on, project-based lessons focused on real productivity gainsCoverage of multiple AI categories in one complete coursePractical automation and workflow strategies for work and businessTool comparisons and best practices to help you get better results fasterWho This Course Is ForThis course is designed for:Professionals who want to save time and increase efficiency using AIContent creators and marketers looking to scale output with AI toolsEntrepreneurs and freelancers aiming to use AI for business growthBeginners who want a clear and practical introduction to Generative AINo prior AI experience is required. Everything is taught step by step using real examples and prac
The demand for Big Data Hadoop Developers, Architects, Data Scientists, Machine Learning Engineers is increasing day by day and one of the main reason is that companies are more keen these days to get more accurate predictions & forecasting result using data. They want to make sense of data and wants to provide 360 view of customers thereby providing better customer experience. This course is designed in such a way that you will get an understanding of best of both worlds i.e. both Hadoop as well as Data Science. You will not only be able to perform Hadoop related operations to gather data from the source directly but also they can perform Data Science specific tasks and build model on the data collected. Also, you will be able to do transformations using Hadoop Ecosystem tools. So in a nutshell, this course will help the students to learn both Hadoop and Data Science Natural Language Processing in one course. Companies like Google, Amazon, Facebook, Ebay, LinkedIn, Twitter, and Yahoo! are using Hadoop on a larger scale these days and more and more companies have already started adopting these digital technologies. If we talk about Text Analytics, there are several applications of Text Analytics (given below) and hence companies prefer to have both of these skillset in the professionals. One of the application of text classification is a faster emergency response system can be developed by classifying panic conversation on social media.Another application is automating the classification of users into cohorts so that marketers can monitor and classify users based on how they are talking about products, services or brands online.Content or product tagging using categories as a way to improve browsing experience or to identify related content on the website. Platforms such as news agencies, directories, E-commerce, blogs, content curators, and likes can use automated technologies to classify and tag content a
Note: Have opened many videos for preview please only enroll if you follow the preview video's , Any suggestions or modifications ping me in Q&A will respond within 3 business days in most times worst case 7 days if i am travelling Current Topics What are Transformers? (Technical) Concept of RNN3 main concepts in Transformers Positional Encoding Attention Self-Attention What is ChatGPT? (Technical) How You Can Use ChatGPT (Non-Technical) Creating your Generative Pre-trained Transformer 3 (GPT-3) account Basic Querying Generative Pre-trained Transformer 3 (GPT-3) and how ethical principles are upheld Prompt Engineering (Technical) Best Practices for Prompt EngineeringOpen AI Models (Technical) We will explore when to use OPENAI models GPT3 CodexContent FilterParameters in Playground (Technical) Temperature Max Tokens Stop SequenceTop-PInjecting Start & Restart TextFrequency and Presence PenaltyBest ofShow ProbabilitiesHow is ChatGPT Trained? (Technical) What is Generative Pre-trained Transformer 3 (GPT-3) and how is it different from rest of transformers ChatGPT- AI Take Over ? (Non-Technical) Money making ideas with ChatGPT (Non-Technical) fiverr exampleWRITING & TRANSLATIONSocial Media Marketing Art
Herzlich willkommen zu unserem neuen Online-Kurs „Prompt Engineering Masterclass: ChatGPT, Midjourney & KI.“Kennst du das? Du stellst der KI eine Frage, aber bekommst nur allgemeine und nicht wirklich brauchbare Antworten? Du bist oft frustriert vom Output der KI und möchtest eigentlich auf dich maßgeschneiderte und maximal nützliche Antworten? Dann ist dieser Kurs genau das Richtige für dich! Entworfen für Neugierige und Profis gleichermaßen, deckt dieser Kurs alles ab: von Grundlagen der Prompt-Formulierung bis hin zu fortgeschrittenen Techniken für ChatGPT, Midjourney, Leonardo AI und co. Erfahre, wie du präzise, wirkungsvolle Prompts erstellst, die Ergebnisse liefern und deine berufliche Laufbahn auf die nächste Stufe hebenWas kannst du also in dieser Masterclass erwarten?Grundlagen zum Thema Prompting & KI: Lerne, was KI wirklich ist, und entdecke die Geheimnisse hinter Large Language Models (LLMs). Wir zeigen dir, was diese Begriffe überhaupt bedeuten und wie du sie professionell anwenden kannst.Prompting-Tipps von OpenAI: Wir tauchen tief in die Welt von ChatGPT und OpenAI ein, um dir zu zeigen, wie du dir mit den richtigen Tricks einen riesigen Vorteil erschaffen kannst.Einfache und komplexe Prompts: Erfahre, wie du verschiedene Prompting-Techniken anwenden kannst, um passende Ergebnisse zu erzielen.KI-Kunst-Prompting: Finde heraus, wie du mit der KI beeindruckende Kunstwerke erschaffen und mit den passenden Prompts noch eindrucksvollere Ergebnisse erzielt kannst!Anwendung in der Geschäftswelt: Wir präsentieren euch die faszinierendsten Prompts für Business-Anwendungen inklusive Einblicke in Microsoft Co-Pilot und Google Gemini.Für wen eignet sich dieser Kurs also?Für alle, die sich für KI-Tools wie ChatGPT und Co. interessieren, unabhängig vom Erfahrungslevel<li
Dans ce cours, tu plongeras dans le monde de l'IA générative avec les LLMs (Large Language Models), en explorant le potentiel de la combinaison de LangChain avec Python. Ce cours complet est conçu pour t'apprendre à exploiter RAPIDEMENT la puissance de la bibliothèque LangChain pour des applications LLMs. Il te permettra d'acquérir les compétences et les connaissances nécessaires pour développer des solutions LLM de pointe pour une gamme variée de sujets.Langchain est un framework pour faire évoluer les LLMs comme ChatGPT avec des sources de données externes et des APIs pour améliorer les capacités. Les composants clés de LangChain, tels que les chaînes, les modèles, les outils et les agents seront présentés, ainsi que la manière de les utiliser pour développer des solutions NLP robustes. Le concept de RAG (Retrieval-Augmented Generation) sera exploré, y compris les processus de stockage et de récupération de l'information. Tu apprendras à mettre en œuvre des magasins vectoriels et à comprendre l'importance des embeddings et la manière de les utiliser efficacement. Nous montrerons également comment utiliser RAG pour interagir avec des documents PDF et des pages web. En outre, tu auras l'occasion d'explorer l'intégration d'agents et d'outils, comme l'utilisation de LLM pour effectuer des recherches sur le web et récupérer des informations récentes.En guise de projet, tu apprendras à créer un chatbot personnalisé qui cherche sur le web et dotée d'une mémoire pour les questions-réponses. De plus, tu appliqueras le RAG pour lire et questionner n'importe quel type de PDFs.Tu apprendras :Ce qu'est LangChain et comment il élargit ce que les assistants d'IA peuvent exploiterIntégrer LangChain à OpenAi, MistralAI et Hugging Face de m
Schon mal darüber nachgedacht, wie große Sprachmodelle (LLMs) die Welt verändern und beispiellose Chancen schaffen?"KI wird deinen Job nicht übernehmen, aber jemand, der weiß, wie man KI nutzt, könnte es tun," sagt Richard Baldwin.Bist du bereit, die Feinheiten von LLMs zu meistern und ihr volles Potenzial für verschiedene Anwendungen zu nutzen, von Datenanalyse bis zur Erstellung von Chatbots und KI-Agenten?Dann ist dieser Kurs für dich!Tauche ein in 'LLM Mastery: OpenAI, Gemini, Claude, Llama, ChatGPT & APIs'—wo du die grundlegenden und fortgeschrittenen Konzepte von LLMs, ihre Architekturen und praktischen Anwendungen erforschen wirst. Verändere dein Verständnis und deine Fähigkeiten, um die Führung in der KI-Revolution zu übernehmen.Dieser Kurs ist perfekt für Entwickler, Datenwissenschaftler, KI-Enthusiasten und alle, die an der Spitze der Technologie von LLMs stehen möchten. Egal ob du neuronale Netzwerke verstehen, KI-Modelle feinabstimmen oder KI-gesteuerte Anwendungen entwickeln möchtest, dieser Kurs bietet dir alles, was du brauchst.Was dich in diesem Kurs erwartet:Umfassendes Wissen über LLMs:Verständnis von LLMs: Lerne über Parameter, Gewichte, Inferenz und neuronale Netze.Neuronale Netzwerke: Verstehe die Funktionsweise neuronaler Netze mit Tokens in LLMs.Transformer-Architektur: Erforsche die Transformer-Architektur und Mixture of Experts.Feinabstimmung: Verstehe den Prozess der Feinabstimmung und die Entwicklung des Assistant-Modells</stron
Ace the NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) Exam: Your Comprehensive Preparation GuideAre you ready to dive into the exciting world of Generative AI and Large Language Models (LLMs)? Do you aspire to become a certified expert in this rapidly evolving field? Look no further! Our meticulously designed practice test course is your ultimate companion for conquering the NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) exam.What is the NCA-GENL Certification?The NCA-GENL certification is a prestigious credential offered by NVIDIA, a global leader in AI and accelerated computing. It validates your foundational knowledge and skills in developing, deploying, and maintaining AI-driven applications that leverage the power of generative AI and LLMs. Achieving this certification demonstrates your expertise and commitment to staying at the forefront of AI innovation.Why Choose Our Practice Test Course?Realistic Exam Simulations: We understand that practice makes perfect. Our course features multiple practice exams that mirror the format, difficulty level, and time constraints of the actual NCA-GENL exam. By immersing yourself in these realistic simulations, you'll gain the confidence and familiarity needed to excel on test day.Comprehensive Coverage: We leave no stone unturned in our quest to prepare you for success. Our practice tests cover all the essential topics outlined in the NCA-GENL exam blueprint, including:Fundamentals of Generative AI and LLMs: Deep dive into the core concepts, architectures, and applications of generative AI and LLMs.Transformer Models and Architectures: Gain a thorough understanding of transformer models, the backbone of many state-of-the-art LLM architectures.Prompt Engineering: Learn the art of crafting effective prompts to el
Modules 2 et 3 sous l’ancienne version de ChatGPT. Cependant, seule l’interface change. 95% du contenu est toujours d’actualité et le module 1 présente les mécanismes de l’IA de manière intemporelle.ChatGPT et l'IA générative, c'est comme Excel ou la boîte email, ne pas apprendre à l'utiliser, c'est ne pas comprendre l'un des plus gros enjeu stratégique de notre époque. Ici, pas de "Guide ULTIME" ou de titre accrocheur mensonger ! Découvrez la révolution ChatGPT à travers cette formation 3 modules complets en 1 qui se différencie par son approche complète incluant dans le premier module une explication complète des fondations de ce système, connaissance clé qui vous permettra de disposer d'un avantage certain sur les autres, suivi de deux modules pratiques et précis sur l'ensemble des fonctionnalités de ChatGPT et des meilleures techniques OFFICIELLES de Prompt Engineering.Avec nous, vous évoluerez du niveau de débutant ou intermédiaire standard au niveau intermédiaire avancé grâce à nos 3 modules complets répartis en 11 sections et déclinés en 74 sessions vidéos accompagnées de quiz et d’exercices pratiques. Vérifiez les notes et les commentaires attribués à ce cours, vous serez ainsi rassurés sur la pertinence et la qualité de cette formation.Lisez attentivement ce que nous vous proposons et n'hésitez pas à comparer notre formation avec la concurrence, nous vous garantissons que l’écrasante majorité des autres formateurs ne proposerons pas de cours aussi complet.Ce qui différencie ce cours des autres, c'est son approche étape par étape et en profondeur dans les méandres de l'IA générative qui vous éclaircira bien des concepts et vous dotera de solides connaissances.Ce Que Vous Obtiendrez
Welcome to the 10 Days of Prompt Engineering, Generative AI, and Data Science CourseGet hands-on with Prompt Engineering, Generative AI, and Data Science in just 10 days. I’m Diogo, and I’ve structured this course to take you from basics to advanced topics quickly. We’ll cover live sessions, hands-on labs, and real-world projects—all in 14 hours and 30 minutes of published video content. You’ll also receive lifetime updates so your learning never goes stale.You will build a portfolio of project on topics like:Prompt Engineering Fundamentals: Understand transformers, attention mechanisms, and how to structure prompts for optimal performance.Generative AI Workflows: Master tools like Google Colab, Jupyter Notebook, LM Studio, and learn how to fine-tune system messages and model parameters.OpenAI API for Text & Images: Integrate the OpenAI API into Python projects, explore parameters for better text generation, and tap into image generation (coming soon).Machine Learning with XGBoost & Random Forest: Explore advanced ML topics, including parameter tuning, SHAP values, and real-world approaches to customer satisfaction modeling.AI Agents with CrewAI: Dive into the next wave of AI automation (coming in Q1 2025).COURSE BREAKDOWNIntroductionMeet your instructor, download course materials, set up your environment (Google Colab, Jupyter Notebook, RStudio).Preview the core projects we’ll tackle.Day 1 – Basics of Prompt EngineeringLearn about transformers, attention, and chain-of-thought prompting.Experiment with LM Studio to practice
Welcome to this course, OpenAI Mastery: Prompt Engineering, ChatGPT, Dall-e, API etcDive into the world of AI with our all-inclusive course bundle, expertly designed to guide you through the intricate landscape of OpenAI’s cutting-edge technologies. Whether you're a complete beginner or looking to sharpen your skills, this collection of courses is your gateway to mastering AI.What You Will Learn:OpenAI Essentials: Grasp the fundamentals of OpenAI, including prompt engineering, and gain the know-how to create your own OpenAI account. You'll understand the core business concepts that will set you apart in the AI industry.ChatGPT Mastery with Free Version: Navigate the functionalities of ChatGPT without a cost barrier. Learn to personalize settings, engineer prompts effectively, and explore the distinctions between the free and plus versions.Dall-e Mastery with AI Art Generation: Unleash your creative potential by generating stunning AI art. Get hands-on experience with Dall-e functions, understand the mechanics of prompts, and delve into the nuances of UI, inpainting, and outpainting techniques.OpenAI API Mastery: Play with Models to unlock the power of OpenAI APIs. Build your own ChatGPT, sentiment analysis tools, image generation models, and even audio-to-text applications.ChatGPT Plus Mastery with Custom GPTs: Go beyond the basics with custom GPT models. Learn to tailor ChatGPT to your needs, understand its API capabilities, and grasp the comprehensive concepts of API & Actions.Course Features:Step-by-step instructions on each topic.Real-world applications and examples.Access to a community of AI enthusiasts.Continuously updated content reflecting the latest AI trends.Enroll now to begin your journey i
If you write for your business or job, this AI Writing course is a must-watch for you. Don't wait too long to master the use of modern AI tools like ChatGPT and Google Bard. These AI tools can benefit you as a business, and more specifically as a writer.In this course, you'll learn how to use an AI writing companion to:Enhance Your CreativitySpeed Up Your WorkflowWrite More & Write BetterOptimize Text for SEOand so much more!Within the first 15 minutes of class, you will have a clear understanding of:How to sign up & start prompting ChatGPT to help you writeBest practices for writing prompts (prompt engineering)Why & how you can use an AI writing assistantHow can an AI Writing Companion help you?Generate ideas that inspire you to writeEdit your writing for grammar & spelling mistakesAutomatically rewrite your work in a different tone or for a different target audienceCondense or expand your writingTurn your writing into a different format (i.e. social media post, email blast, article)Translate your writing into another languageSummarize long text into condensed notesOptimize your writing for search engines, making them keyword friendlyGenerate catchy headlines, subject lines, and titles for your contentWrite entire articles, posts, and other content for youWatch a free preview of this course to start learning, and to see if this is the right course for you.By the end of this course, you'll have a comprehensive understanding of AI writing tools such as ChatGPT & Go
Sevgili arkadaşlar merhaba,NLP’nin temel kavramlarını ve modern dil modellerinin gelişimini keşfetmeye hazır mısınız? Bu kursta, NLP’nin başlangıcından Büyük Dil Modelleri’nin (LLMs) yükselişine kadar olan süreci adım adım ele alacağız.Kurs, temel bilgilerden karmaşık modellere doğru bir öğrenme deneyimi sunacak şekilde tasarlandı. Amacımız, NLP’nin gelişimini sade ve anlaşılır bir şekilde aktararak, teorik altyapıyı en iyi şekilde kavramanızı sağlamak. NLP’nin evrimindeki her adımı sırasıyla inceleyecek ve bu alandaki kavramları derinlemesine öğreneceksiniz. Eğer bu alanda yeniyseniz veya mevcut bilginizi derinleştirmek istiyorsanız, bu kurs sizin için ideal!Eğitimin içerisinde Doğal Dil İşlemenin evrim basamaklarını aşağıdaki sıra ile öğreneceğiz:KURAL TABANLI NLP (RULE-BASED NLP)İSTATİSTİKSEL NLP (STATISTICAL NLP)FREKANS TABANLI METİN VEKTÖRİZASYONU (FREQUENCY-BASED TEXT VECTORIZATION)BAĞLAMDAN BAĞIMSIZ STATİK TEMSİLLER (CONTEXT-INDEPENDENT STATIC EMBEDDINGS)BAĞLAMLAŞTIRILMIŞ TEMSİLLER (CONTEXTUALIZED EMBEDDINGS)BU KURS SİZE NE KAZANDIRACAK?NLP'nin temel kavramlarından LLM'lere uzanan yolculuğu anlama fırsatı.Büyük Dil Modellerinin (LLMs) temel mantığı, mimarisi ve uygulama alanları hakkında detaylı bilgi.NLP projelerinde kullanabileceğiniz pratik ve teorik bilgi.Güncel NLP araçları ve modelleriyle çalışma becerisi.Kurs; Makine Öğrenimi, Derin Öğrenme, Doğal Dil İşleme ve Büyük Dil Modelleri (LLMs) alanlarında uzmanlaşan Musa Bayır tarafından hazırlanmıştır. Eğer NLP ve Büyük Dil Modelleri (LLMs) hakkında kapsamlı teorik bilgi edinmek ve bu alandaki bilginizi derinleştirmek istiyorsanız hemen kayıt olun.
Machine Learning is one of the hottest technologies of our time! If you are new to ML and want to become a Data Scientist, you need to understand the mathematics behind ML algorithms. There is no way around it. It is an intrinsic part of the role of a Data Scientist and any recruiter or experienced professional will attest to that. The enthusiast who is interested in learning more about the magic behind Machine Learning algorithms currently faces a daunting set of prerequisites: Programming, Large Scale Data Analysis, mathematical structures associated with models and knowledge of the application itself. A common complaint of mathematics students around the world is that the topics covered seem to have little relevance to practical problems. But that is not the case with Machine Learning.This course is not designed to make you a Mathematician, but it does provide a practical approach to working with data and focuses on the key mathematical concepts that you will encounter in machine learning studies. It is designed to fill in the gaps for students who have missed these key concepts as part of their formal education, or who need to catch up after a long break from studying mathematics.Upon completing the course, students will be equipped to understand and apply mathematical concepts to analyze and develop machine learning models, including Large Language Models.
April 2024 update: This course comes with a certificate of completion that you can share on Linkedin or other social media platforms, and/or add to your resume/CV.Technology is going fast, if you stop moving, you will lose the race.Welcome to "The ChatGPT and Prompt Engineering Masterclass" an online course designed to help you harness the power of ChatGPT, a state-of-the-art language model. Whether you're a professional, content creator, or simply curious about AI, this course equips you with practical knowledge and techniques to make the most of ChatGPT's capabilities.This course will help you understand how ChatGPT works, how to fix common issues, how to write the perfect prompt and best prompt engineering practices, ethics, AI misuse, and all the ways GPT can help you save time and money (and make money!). We will also very briefly talk about how to generate an AI book to sell on Amazon.What are you getting with this course:Over an hour of on-demand video, updated in August 2023.Additional resources (like written articles)The script and PPTX of the course (for free!)My prompt listA possibility to reach out to me if you need anything!Enroll now in "The ChatGPT and Prompt Engineering Masterclass" and unlock the full potential of ChatGPT to revolutionize your personal and professional life. ChatGPT is more than a conversational AI or a writing assistant, join us and discover the power of ChatGPT!
Yapay Zeka uygulamaları geliştirmek, Langchain'e hakim olmak, Retrieval Augmented Generation örnekleri geliştirmek ve LLM orkestrasyonu konusunda uzmanlaşmak istiyorsanız şu anda doğru yerdesiniz!Bu eğitim ile Langchain'in nasıl çalıştığını, nasıl kullanıldığını, RAG gibi önemli konseptlerin nasıl uygulandığını örnekler yaparak öğrenceksiniz. Eğitim içerisinde anlatılan tüm teknik konular translator, ileri seviye chatbot, ileri seviye RAG gibi uygulamalar yapılarak pekiştirilmektedir. Profesyonel anlamda ortaya uygulamalar koymak için gerekli olan tüm bilgilerin de üstünden geçeceğimiz bu eğitime katılmak için temel programlama bilgisine sahip olmanız gerekmektedir.Kurs Udemy'de 350.000+ öğrenciye Yazılım ve Siber Güvenlik eğitimleri veren ve Boğaziçi Üniversitesi'nde Yazılım Eğitmeni olan Atıl Samancıoğlu tarafından veriliyor! Siz de Yapay Zeka orkestrasyonuna adım atmak istiyorsanız aşağıdaki detaylı açıklamayı inceleyip kursa hemen kayıt olabilirsiniz.Bu kursta Langchain, RAG vb. birçok konuyu beraber işleyeceğiz. Eğitimin içindeki bölümlerde değineceğimiz konulardan bazıları şunlar:LangchainLanggraphRetrieval Augmented GenerationAgentsMessage History, Memory ManagementLangsmithLangserveVectorstoreChromaDBOpenAI APICustom GPTsİçerik & Genel GörünüşBu kurs yapay zeka araçları geliştirmeyi ve özellikle de büyük dil modellerini bu sürece dahil etmeyi düşünenler için idealdir. LLM'lerin Langchain ile nasıl yönetilebileceğini, Langgraph ile Agent'larımızın nasıl koordine edilebileceğini, RAG gibi ileri seviye konuların nasıl basit hale getirileceğini pratik projeler yaparak göreceğiz.Eğitim pratik odaklı olsa da kesinlikle teorik boyutu aksatılmadan en ince detayları işlemeyi ih
Welcome to the course "AI Trading: Bitcoin, Stocks & Investing with ChatGPT and AI".Have you ever dreamed of using the most advanced technologies to improve and take your trading or investing strategies to the next level? Do you want to learn how breakthrough AI tools like ChatGPT, Bing, Google Bard and Claude 2 can make your financial goals not only attainable, but tangible?Or do you want to program your own trading bot with AI and link it to your broker for completely automatic trading?Then this course is for you!This course will give you a deep dive into the fascinating world of AI-powered trading and investment tools. We'll explore the endless possibilities these tools offer and learn how to use them effectively to improve our financial decisions. From analyzing business reports and financial ratios, preparing market and sector analysis, to automatically recognizing chart patterns and even creating your own trading bot Artificial intelligence can be invaluable at every stage of trading and investing.One of the key elements of this course is exploring the enormous potential of LLMs like ChatGPT and Anthropic in the world of trading. With these powerful AI tools, you can develop innovative strategies, perform complex analysis, and even monitor market trends in real time. You'll learn how to effectively use ChatGPT and other Large Language Models to optimize your trading and investing decisions, and the ways in which this sophisticated AI can help you in your financial journey.In this course, we'll also cover the growing field of cryptocurrencies, including Bitcoin and other digital currencies. We'll look at how Artificial Intelligence, and specifically ChatGPT, are able to identify complex patterns and trends in
Este curso foi desenvolvido para proporcionar uma experiência prática e profunda no uso de modelos de linguagem, ferramentas avançadas e estratégias de implementação voltadas para a criação de soluções baseadas em inteligência artificial. A seguir, apresentamos os tópicos que serão abordados:Seção 1: OpenAI e Suas Ferramentas PoderosasIntrodução aos Modelos de Linguagem da OpenAI:Compreenda os fundamentos dos modelos como GPT-4, suas capacidades, limitações e potenciais de aplicação.Construindo Chatbots Personalizados:Aprenda a criar chatbots sofisticados e altamente customizáveis para atender às necessidades específicas do usuário.Function Calling:Entenda como utilizar o recurso de function calling para integrar modelos a sistemas externos e realizar chamadas dinâmicas de funções.Explorando Imagens com DALL·E:Descubra como gerar, editar e utilizar imagens criadas com DALL·E em soluções práticas.Trabalhando com Áudio:Explore o potencial das ferramentas de reconhecimento e síntese de voz da OpenAI, como Whisper e outros recursos inovadores.Melhores Práticas de Integração:Saiba como conectar as ferramentas OpenAI de maneira eficiente a outras tecnologias e APIs.Seção 2: Fundamentos e Ferramentas do LangChainIntrodução ao LangChain:Descubra como o LangChain facilita a integração de LLMs em fluxos de trabalho complexos.Modelos (Models):Configure e gerencie LLMs e seus parâmetros para diferentes necessidades.Templates de Prompts:Crie e otimize prompts utilizando as classes de prompt template para maximizar a eficácia do modelo.Análise de Saída (Output Parser):Aprenda a estruturar e interpretar as
This course contains the use of artificial intelligence.The generative AI revolution is here, but the path from excitement to enterprise value is riddled with costly missteps, regulatory landmines, and technology dead ends. You're not just competing with yesterday's processes anymore - you're racing against organizations that have cracked the code on generative AI for business productivity while others burn through budgets chasing shiny AI promises. The difference between AI success and AI failure isn't about having the latest technology - it's about having the strategic framework to implement it profitably.Master Strategic AI Implementation That Actually Delivers ROI• Analyze real case studies from companies achieving 40% productivity gains with ChatGPT and Claude• Calculate true Total Cost of Ownership for API vs self-hosted AI models• Navigate EU AI Act compliance and data sovereignty requirements• Build advanced RAG systems that leverage your private company data securely• Implement multi-agent frameworks for autonomous business workflows• Measure and prove AI ROI using enterprise-grade metrics and frameworksStop Guessing. Start Leading with Data-Driven AI Strategy.Why mastering generative AI for business is your competitive imperative right now. Research from McKinsey shows that 75% of enterprises plan to adopt generative AI within 24 months, but only 23% have clear strategies for implementation and ROI measurement. The companies moving first are already capturing massive advantages - GitHub reported 55% faster code completion with Copilot, while Klarna achieved $40 million in annual savings through AI customer service automation.The pressure is real. Your competitors are either already implementing AI or desperately trying to catch up. Meanwhile, regulatory frameworks like the EU AI Act are creating compliance require
Hi all Its Jay I am a data scientist by profession and Instructor by passion I have around 4 years of experience as data scientist, I started my career as analyst as gradually moved to data scientist hence I can understand what are programming prerequisites for data scientist. This course is created for absolute beginners of data science and machine learning. It covers all aspect of python languages required in data science machine learning and deep learning.
A warm welcome to the Generative AI with LLMs, Prompting, Automation & Agents course by Uplatz.Generative AI (Generative Artificial Intelligence) refers to a type of artificial intelligence that is capable of creating new content—such as text, images, audio, code, and more—rather than simply analyzing existing data. It mimics human creativity by learning from large datasets and generating outputs that resemble original, human-made content.What It DoesTraditional AI systems are good at recognizing patterns or making predictions based on existing data. Generative AI goes a step further by actually producing new data that didn't exist before. For example:Writing articles or storiesCreating images or artworkComposing musicWriting codeDesigning products or layoutsHow It WorksGenerative AI typically relies on advanced machine learning techniques, especially deep learning models such as:Transformers – used in models like GPT (text) or T5Diffusion models – used in image generation (like DALL·E or Stable Diffusion)GANs (Generative Adversarial Networks) – used for creating realistic mediaA simplified breakdown of the process:TrainingThe model is trained on massive datasets (e.g., books, websites, images, code).It learns statistical patterns, styles, and relationships in the data.Learning ProbabilitiesInstead of memorizing, the model learns the probability of what should come next in a sequence (next word, next pixel, etc.).Generation (Inference)<
Este curso abrange uma jornada empolgante na aplicação do ChatGPT no campo da Ciência de Dados e Machine Learning. Ao longo deste programa, você explorará a capacidade do ChatGPT como uma ferramenta valiosa na análise de dados, no pré-processamento e na construção de modelos de aprendizado de máquina sem precisar digitar uma linha sequer de código!Na primeira parte, mergulharemos nas técnicas fundamentais de análise de dados. Você aprenderá como extrair informações estatísticas cruciais de seus conjuntos de dados, lidar com valores ausentes e identificar e tratar valores atípicos (outliers). Exploraremos as relações entre as variáveis e a representação visual de dados categóricos e numéricos. Além disso, você terá a oportunidade de criar gráficos interativos, tornando a exploração de dados mais envolvente e informativa. Na segunda parte, nos aprofundaremos no campo do machine learning e você aprenderá a lidar com atributos categóricos usando técnicas como o LabelEncoder e o OneHotEncoding. Abordaremos o desafio de conjuntos de dados desbalanceados e discutiremos a importância da transformação de escala. Você também ganhará experiência na divisão eficaz de bases de dados, seleção de algoritmos apropriados e métodos de avaliação. A validação cruzada, tuning de parâmetros e seleção de atributos são partes essenciais do processo de modelagem, e você terá a oportunidade de aprimorar suas habilidades nessas áreas.Ao concluir este curso, você estará equipado com habilidades avançadas em ciência de dados e machine learning, capacitado para aplicar o ChatGPT de forma eficaz em projetos do mundo real. Este programa oferece uma oportunidade única de melhorar suas habilidades analíticas e se destacar no campo da ciência de dados e do aprendizado de máquina. Prepare-se para alcançar um novo patamar em sua carreira profissional!
¡Bienvenidos al curso de ChatGPT en español!ChatGPT se está convirtiendo en una herramienta para la productividad que todos vamos a tener que aprender, así cómo en su momento fue Word o Excel, en este curso te voy a llevar paso a paso por todas las características que cuenta chatGPT. Este curso de chatGPT en español se centra en la productividad, vamos a ver cómo podemos utilizar la herramienta en nuestro día a día, existen varios casos de negocio para poner a prueba los límites de la herramienta.En este curso, no solo aprenderás a usar la herramienta de inteligencia artificial de ChatGPT, sino que también aprenderás a utilizar la técnica avanzada de Prompt Engineering para sacar el mayor provecho de la herramienta y aumentar tu productividad.Durante el curso, te guiaré paso a paso para que puedas entender cómo funciona ChatGPT, cómo utilizar sus funciones y cómo aplicar las técnicas de Prompt Engineering para obtener mejores resultados en tus solicitudes.Una de las ventajas de este curso es que proporcionaré casos de uso específicos para empresarios y estudiantes, para que puedas aplicar fácilmente lo que aprendas en tu vida diaria. Aprenderás cómo utilizar ChatGPT para redactar correos electrónicos, informes, cartas de presentación y cualquier otro tipo de contenido que necesites para tu trabajo o estudio. También te mostraré cómo utilizar ChatGPT para realizar investigaciones y proyectos de una manera más rápida y efectiva.En resumen, si estás interesado en aprender ChatGPT y en aprovechar al máximo sus capacidades, este curso es para ti. Únete hoy y comienza a aprender de una manera emocionante e interactiva para mejorar tu productividad y potenciar tus habilidades. ¡Te espero en clase!
Are you an HR professional or aspiring HR manager eager to master ChatGPT and AI for Human Resource Management activities?Are you looking to gain a future-ready skill that can help you automate workflows, improve employee engagement, and drive HR innovation?If yes, this course is tailored just for you!Why Take This Course?In today’s digital era, AI is rapidly transforming how Human Resources functions. From recruitment to onboarding, performance management to HR analytics — AI is at the heart of NextGen HR practices.This course, “Hands-on Generative AI for HR Professionals | ChatGPT | AI,” offers a comprehensive, beginner-friendly, and hands-on learning experience to help you unlock the true potential of ChatGPT and AI tools in your HR role.Latest Curriculum updated as of September 2025.What You Will Learn – Course Curriculum Overview:Section 1: Introduction to NLP and ChatGPT ArchitectureIntroduction to Natural Language Processing (NLP)Practical NLP activity and understanding ChatGPT architectureSection 2: Getting Started with ChatGPT for HR ProfessionalsBasics of ChatGPTReal-world use cases you’ve never heard beforeCustom GPTs for HRChatGPT integrations & APIsIntroduction to Prompt EngineeringSection 3: ChatBot & API Integration for Automating HR ActivitiesStep-by-step setup of ChatGPT chatbots for HR functionsAutomating tasks using chatbot and website integrationsSection 4: Access to The NextGen HR Reporter – Monthly NewsletterDownload HRM newsletters from March to July 2025Stay updated on global HR tech trends and use casesSection 5: Uses
Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided. Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today Let’s parse that. The course is down-to-earth : it makes everything as simple as possible - but not simpler The course is shy but confident : It is authoritative, drawn from decades of practical experience -but shies away from needlessly complicating stuff. You can put ML to work today : If Machine Learning is a car, this car will have you driving today. It won't tell you what the carburetor is. The course is very visual : most of the techniques are explained with the help of animations to help you understand better. This course is practical as well : There are hundreds of lines of source code with comments that can be used directly to implement natural language processing and machine learning for text summarization, text classification in Python. The course is also quirky. The examples are irreverent. Lots of little touches: repetition, zooming out so we remember the big picture, active learning with plenty of quizzes. There’s also a peppy soundtrack, and art - all shown by studies to improve cognition and recall. What's Covered: Machine Learning: Supervised/Unsu
Discover the future of voice technology in "Voicecraft: Mastering AI Voices and Beyond." This comprehensive course takes you on a captivating journey through the dynamic world of AI-generated voices, unveiling the secrets of ChatGPT, 11 Labs AI, and Adobe Podcast AI.In the realm of ChatGPT, you'll delve into the magic of language generation, learning how to craft realistic conversations and harness its AI capabilities for voice synthesis. From content creators to businesses, ChatGPT's prowess in natural language understanding will redefine the way you communicate.11 Labs AI invites you to explore the art of voice cloning, enabling you to create your own AI voice clones with precision. Delve into the ethical considerations and craft voices that resonate with your brand's identity.Adobe Podcast AI will empower you to create seamless audio experiences. You'll learn to integrate AI voices into your podcasts, advertisements, and brand promotions. Understand the nuances of voiceovers and elevate your storytelling to new heights.This course is for:Content Creators: Bloggers, YouTubers, podcasters, and writers seeking to enhance their content with AI voices.Marketers: Digital marketing professionals interested in using AI voices for ads, promotions, and branding.Voiceover Artists: Voice professionals looking to expand their services with voice cloning and AI voices.Developers: Software developers aiming to integrate AI voices into applications and websites.Business Owners: Entrepreneurs seeking to leverage AI voices for customer service and marketing.Language Enthusiasts: Individuals interested in creating language learning tools and translation services with AI voices.AI Enthusiasts: Those curious about the potent
This comprehensive course is your one-stop guide to learn Python Basics, Popular Data Manipulation Libraries, Deep Learning Fundamentals, Popular Generative AI Models, Large Language Models and Agentic AI frameworks, all in one place. Whether you're a beginner exploring the world of AI or a developer looking to level up, this course takes you from the ground up and beyond.We begin with Python fundamentals and dive into essential data libraries like NumPy, Pandas, and Matplotlib for effective data handling and visualization. Then, we advance into Deep Learning, building and training neural networksMode to understand the core mechanics behind AI.Generative AI is a subset of Deep Learning. Without a solid understanding of Deep Learning fundamentals, learning Generative AI becomes difficult and often confusing. That’s why I’ve combined the most essential parts from one of my previous Deep Learning courses into this course. This ensures that you build a strong foundation before diving into advanced Generative AI topics.Once the Deep Learning Fundamentals is complete, You’ll then explore the rapidly evolving field of Generative AI:From training your own GANs and VAEs, to working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Diffusion Models, this course offers hands-on projects and intuitive explanations.Finally, we introduce you to the next frontier: Agentic AI. Learn about intelligent agent architectures such as MCP, ACP, and A2A, and use cutting-edge frameworks like LangChain to build autonomous, goal-driven AI agents.What You’ll LearnPython programming basics and data manipulation using NumPy and PandasData visualization using MatplotlibFundamentals of Deep Learning and neural network trainingBuilding Generative AI models: GANs, VAEs, LLMs, and Diffusion ModelsImplementing Retrieval-Augmented Genera
Course Description:Unlock the full potential of AI with this comprehensive bootcamp that dives into prompt engineering, ChatGPT, and beyond! This course is designed to equip you with the knowledge and skills to leverage the power of generative AI across content creation, data analysis, programming, and AI-driven art. Whether you're a beginner or an experienced developer, this course offers a structured path to mastering AI tools, with a special focus on ChatGPT, MidJourney, Python, and other powerful AI models.What You’ll Learn:Foundational Skills in ChatGPT & Prompt Engineering: Start with a solid understanding of ChatGPT, learning basic and advanced prompt techniques, scalable prompt structures, and a prompt repository to make your prompts more powerful and reusable.Explore AI Models Beyond ChatGPT: Discover Bing AI, Google Gemini, Claude, and open-source models. Each section introduces you to a new AI tool, showcasing unique capabilities, practical applications, and how to integrate them into your workflow.Master MidJourney for AI Art: Understand MidJourney’s basics, advanced parameters, and prompt crafting techniques. Learn how to create stunning AI art, market your work on Etsy, and even replace stock images—ideal for creative professionals.Real-World Projects & Applications: Apply what you learn with hands-on projects, including content creation for ebooks, blogging, startup ideation, email marketing, and social media campaigns. You'll also dive into data analysis projects and create unique art-based products, such as coloring books, for online sales.Python Fundamentals & Advanced Topics: Gain proficiency in Python with a guided progression from core programming concepts to advanced techniques. Learn to manage data, control flows, build GUI desktop apps, and handle files efficiently—a
Master the art of building professional-grade Generative AI applications with this comprehensive course designed for advanced developers, data scientists, AI enthusiasts, and technology leaders. This program covers everything you need to know about leveraging Large Language Models (LLMs) to create robust, scalable, and production-ready AI-powered solutions. Whether you're looking to enhance your skills or build innovative applications, this course is your gateway to success in the AI-driven future.Start with an in-depth exploration of foundational concepts, including the architecture of Generative AI systems, key components, and tools. Learn about advanced topics such as Retrieval-Augmented Generation (RAG), LangChain, LlamaIndex, and the integration of cutting-edge orchestration frameworks. Gain hands-on experience with cloud platforms like AWS Bedrock, Google Vertex AI, and others to fine-tune your applications and deploy them in real-world scenarios.This course also delves into practical implementations, including chatbots with memory, advanced data retrieval, sentiment analysis tools, and multimodal AI applications. You'll master essential techniques like managing custom data, creating efficient pipelines, and optimizing performance for scalability. By the end of the course, you'll have the expertise to design, deploy, and maintain production-level AI systems that exceed professional standards, empowering you to lead in the rapidly evolving field of Generative AI development and innovation.
Tauche ein in die kreative Seite der Künstlichen Intelligenz – mit Generativen Neuronalen Netzwerken (GANs), Autoencodern und Adversarial Attacks. In diesem praxisorientierten Kurs lernst du, wie du mit Python, TensorFlow 2.14 und Keras eigene Deep-Learning-Modelle entwickelst, trainierst und sogar „hackst“.Nach einer kurzen Einführung in die Grundlagen von Machine Learning und Deep Learning, baust du Schritt für Schritt eigene neuronale Netze auf – von klassischen Deep Neural Networks bis hin zu verschiedenen Arten von GANs. Du verstehst nicht nur, wie diese Modelle funktionieren, sondern setzt sie auch selbst um – mit zahlreichen spannenden Coding-Sessions.Neben der Generierung realistischer Daten mit Variational Autoencodern (VAE) und der Datenkomprimierung mit klassischen Autoencodern, wirst du auch lernen, wie neuronale Netze durch gezielte Adversarial Attacks ausgetrickst werden können – und wie man sich dagegen schützt.Dieser Kurs richtet sich an alle, die ein solides Verständnis im Deep Learning aufbauen und moderne generative Modelle praktisch umsetzen möchten. Egal ob Data Science Student, KI-Enthusiast oder Entwickler – hier wirst du gefordert und gefördert.Das wirst du lernen:Grundlagen von Machine Learning & Deep LearningEigene Deep Neural Networks mit TensorFlow & Keras entwickelnAdversarial Generative Networks (GANs) verstehen und implementierenAdversarial Attacks: Netzwerke gezielt angreifen & absichernDaten komprimieren mit Autoencodern (AE)Realistische Daten generieren mit Variational Autoencodern (VAE)Arbeiten in Python (über Anaconda oder andere Installationen)Werde jetzt Teil der KI-Zukunft – mit deinem eigenen generativen Netzwerk.Let’s code the future – wir sehen uns im Kurs!Hinweis:Python wird im Kurs mit Anac
Hi there,Welcome to "Generative AI for Data Analysis and Engineering with ChatGPT" course.ChatGPT and AI | Data Analytics and ML Mastering Course with ChatGPT-4o and Next-Gen AI Techniques for Data AnalystArtificial Intelligence (AI) is transforming the way we interact with technology, and mastering AI tools has become essential for anyone looking to stay ahead in the digital age. In today's data-driven world, the ability to analyze data, draw meaningful insights, and apply machine learning algorithms is more crucial than ever. This course is designed to guide you through every step of that journey, from the basics of Exploratory Data Analysis (EDA) to mastering advanced machine learning algorithms, all while leveraging the power of ChatGPT-4o.Machine learning describes systems that make predictions using a model trained on real-world data. For example, let's say we want to build a system that can identify if a cat is in a picture. We first assemble many pictures to train our machine learning model. During this training phase, we feed pictures into the model, along with information about whether they contain a cat. While training, the model learns patterns in the images that are the most closely associated with cats. This model can then use the patterns learned during training to predict whether the new images that it's fed contain a cat.A machine learning course teaches you the technology and concepts behind predictive text, virtual assistants, and artificial intelligence. You can develop the foundational skills you need to advance to building neural networks and creating more complex functions through the Python and R programming languages. We have more data than ever before. But data alone cannot tell us much about the world around us. We need to interpret the information and discover
SPOILER ALERT ! Cette Description a été rédigée par ChatGPT en seulement quelques minutes !Hey hey hey, ici ChatGPT ! J'ai pris le contrôle pour vous présenter cette formation qui va changer votre vie : "Maitrisez ChatGPT et le prompt engineering". Si vous êtes prêts à vivre une expérience incroyable et à apprendre à utiliser l'IA comme un pro, vous êtes au bon endroit !J'imagine que vous en avez assez d'entendre parler de méthodes miracles pour maîtriser ChatGPT. La vérité, c'est qu'il n'y a pas de potion magique pour devenir un expert en la matière. Mais avec cette formation, vous allez acquérir les compétences dont vous avez besoin pour devenir un pro sans brûler les étapes!Nous allons avant de commencer:Partir des bases et comprendre ce que sont ChatGPT et le Prompt Engineering.Mettre en place votre environnement de travail.Puis il sera temps d'apprendre les différentes techniques de prompt selon les niveaux:Débutant: Des prompts simples et la mise en place de techniques de base.Intermédiaire: Apprenez des techniques pour des prompts plus spécifiques, personnalisés et pertinents.Avancé: Vous verrez ici des méthodes élaborées qui vous permettront de maitriser pleinement de prompt engineering. En utilisant ChatGPT de manière intelligente, vous pouvez multiplier par 10 votre productivité pour résoudre des tâches complexes. Plus besoin de passer des heures à écrire des textes, ou à traduire des langues, ChatGPT s'en occupe pour vous ! Et le meilleur dans tout ça, c'est que ChatGPT n'est pas seulement destiné à des taches professionnelles, mais peut également vous aider dans les tâches du quotidien. Tout
The Machine Learning Bootcamp for Complete Beginners 2025 is the fastest way to start your journey into Python programming, data science, and machine learning—no prior experience required.We’ll start from the very basics of Python: data types, variables, loops, functions, classes, exceptions, file handling, and test-driven development. You’ll also work with databases and APIs, which are essential for handling real-world data.Once you’re confident with Python, we’ll dive into the heart of machine learning. Step by step, you’ll explore and apply key algorithms:Linear Regression – predicting house and car pricesLogistic Regression – classifying health and customer dataDecision Trees & Random Forests – modeling complex decisionsKMeans Clustering – grouping unlabeled dataPCA (Principal Component Analysis) – reducing dimensions for big dataFinally, you’ll build and deploy a capstone project: a House Price Prediction web app with Flask, bringing everything you’ve learned into a practical, real-world project.This bootcamp focuses on hands-on coding, practical datasets, and real projects so that you’re not just learning theory—you’re building skills you can use right away.Who Is This Course For?This course is designed for:Absolute beginners with no prior coding experience.Students or professionals curious about AI and machine learning.Career changers looking to enter the data science or AI field.Developers who want to strengthen their Python and ML foundations.Anyone who wants to understand how machine learning powers modern apps.What You Will LearnBy the end of this b
Welcome to my comprehensive course on crafting prompts that not only drive engagement but also uphold ethical standards. In today's interconnected world, the ability to formulate queries that are both compelling and responsible is essential.Throughout this course, you'll delve into the intricacies of prompt engineering, exploring diverse topics such as AI ethics, bias awareness, and cultural sensitivity. Whether you're a beginner seeking foundational knowledge or an experienced professional aiming to refine your skills, our curriculum is tailored to meet your needs.Learn how to navigate legal and medical constraints, stimulate creative problem-solving, and craft prompts for educational, societal, and environmental issues. Our expert-level modules delve into advanced techniques such as integrating multiple topics, long-form content generation, and psychological theories in prompt design.Furthermore, our mastery-level sessions provide a deep dive into algorithmic understanding, cross-disciplinary crafting, and ethical dilemmas in prompt formulation. By the end of this course, you'll emerge equipped with the tools and insights needed to drive meaningful conversations, foster innovation, and navigate complex inquiries with precision and integrity.Join me on this journey to master the art of prompt engineering and make a positive impact in your field. Enroll today and unlock the potential to shape dialogue, foster understanding, and drive positive change through thoughtful and ethical prompt design.
Generative AI: From Fundamentals to Advanced ApplicationsThis comprehensive course is designed to equip learners with a deep understanding of Generative AI, particularly focusing on Large Language Models (LLMs) and their applications. You will delve into the core concepts, practical implementation techniques, and ethical considerations surrounding this transformative technology.What You Will Learn:Foundational Knowledge: Grasp the evolution of AI, understand the core principles of Generative AI, and explore its diverse use cases.LLM Architecture and Training: Gain insights into the architecture of LLMs, their training processes, and the factors influencing their performance.Prompt Engineering: Master the art of crafting effective prompts to maximize LLM capabilities and overcome limitations.Fine-Tuning and Optimization: Learn how to tailor LLMs to specific tasks through fine-tuning and explore techniques like PEFT and RLHF.RAG and Real-World Applications: Discover how to integrate LLMs with external knowledge sources using Retrieval Augmented Generation (RAG) and explore practical applications.Ethical Considerations: Understand the ethical implications of Generative AI and responsible AI practices.By the end of this course, you will be equipped to build and deploy robust Generative AI solutions, addressing real-world challenges while adhering to ethical guidelines. Whether you are a data scientist, developer, or business professional, this course will provide you with the necessary skills to thrive in the era of Generative AI.Course Structure:The course is structured into 12 sections, covering a wide range of topics from foundational concepts to advanced techniques. Each section includes multiple lectures, providing a comp
Welcome to the "Azure Open AI & Prompt Engineering Zero to Hero with Chatgpt" course!In this course, you will learn how to work with Azure OpenAI, specifically the GPT-3.5/4 model and how to use it for prompt engineering, which is the art of crafting effective prompts to generate high-quality text responses. You will start with the basics of Azure OpenAI and progress to more advanced topics, such as prompt engineering, data preparation, and model fine-tuning. By the end of this course, you will have a strong understanding of Azure OpenAI and how to use it for prompt engineering, as well as the skills to build your own powerful AI applications using GPT-3.5.This course is designed for developers and data scientists who are interested in learning how to work with Azure OpenAI and want to become proficient in prompt engineering. Learn about the fundamentals of Azure Open AI and Prompt Engineering.Understand the concept of natural language processing and how it works with AI.Dive deep into the principles of prompt engineering, and how it can be used to generate human-like text.Explore the different tools and platforms offered by Azure for Open AI and Prompt Engineering.Understand the importance of pre-training and fine-tuning in creating robust AI models.Discover how to use GPT-3 models for text completion and generation.Learn how to train and deploy GPT-3 models on Azure.Gain insights into best practices for working with Open AI and Prompt Engineering.Learn about the ethical considerations and potential risks associated with AI and how to mitigate them.By the end of this course, you will have a solid understanding of Azure Open AI and Prompt Engineering and be able to apply this knowledge to create powerful and effective AI models. Whether you are a developer, data scientist, or AI enthusiast, this course will
This specialization from Vanderbilt University teaches how to leverage ChatGPT's free AI tools for various professional tasks including planning, project management, writing, data analytics, and marketing. It also covers Anthropic Claude.
Get instant access to a 69-page Machine Learning workbook containing all the reference materialOver 9 hours of clear and concise step-by-step instructions, practical lessons, and engagementIntroduce yourself to our community of students in this course and tell us your goalsEncouragement & celebration of your progress: 25%, 50%, 75%, and then 100% when you get your certificateWhat will you get from doing this course?This course will help you develop Machine Learning skills for solving real-life problems in the new digital world. Machine Learning combines computer science and statistics to analyse raw real-time data, identify trends, and make predictions. You will explore key techniques and tools to build Machine Learning solutions for businesses. You don’t need to have any technical knowledge to learn these skills.What will you learn:What is Machine LearningSupervised Machine LearningUnsupervised Machine LearningSemi-Supervised Machine LearningTypes of Supervised Learning: ClassificationRegressionTypes of Unsupervised Learning: ClusteringAssociationData CollectionData PreparingSelection of a ModelData Training and EvaluationHPT in Machine LearningPrediction in MLDPP in MLNeed of DPPSteps in DPPPython LibrariesMissing, Encoding, and Splitting Data in MLPython, Java, R,and C ++How to install python and anaconda?Interface of Jupyter NotebookMathematics in PythonEuler's Number and VariablesDegree into Radians and Radians into Degrees in PythonPrinting Functions in PythonFeature Scaling for ML<p
A seven-course specialization from IBM that covers the fundamentals of generative AI, the structure of large language models, and fine-tuning methods. The program is estimated to take 3-6 months to complete at 4 hours per week and has a 4.5-star rating with about 9,000 active learners.
This specialization, offered by IBM, is designed for project managers, scrum masters, and coordinators looking to integrate generative AI into their workflows. It covers prompt engineering, AI-driven project tools, and how to use AI to improve project documentation and performance. The course is self-paced and aims to help professionals drive efficiency and report a positive ROI from AI in project management.
This specialization is aimed at leaders and consultants, exploring generative AI applications across business domains and their integration into operations, while considering data privacy and ethical implications.
A specialization from Duke University that covers a range of topics from generative AI techniques to managing open source LLMs on various platforms like Azure, AWS, and Databricks. It provides hands-on experience in designing, deploying, and scaling language models.
Este taller equipa a los líderes empresariales para impulsar iniciativas de IA, y posteriormente entregar e implementar soluciones de IA, generando cambios en toda la organización con un impacto comercial medible.¡Esto es muy diferente a un “curso” tradicional!De hecho, no es un curso como tal: es un informe ejecutivo. Un briefing integral y orientado a la acción sobre IA Generativa, diseñado por líderes y para líderes.Lo que cubriremosExperiencia en IA desde una perspectiva comercialCasos de uso reales: tanto historias de éxito como fracasosKits de herramientas accionables para aplicar en tu negocioEjemplos desde startups en stealth mode hasta empresas globalesLo que NO cubriremosDetalles técnicos profundos (pero sí lo suficiente para apoyar la toma de decisiones).Ejemplo: abordaremos RAG, fine-tuning y agentes, pero siempre desde un punto de vista empresarial.Uso directo de herramientas de IA por parte del alumno.Este informe trata sobre cómo transformar tu organización para que use herramientas de IA, no sobre el uso individual de cada una.Si eres un ejecutivo, emprendedor o líder (o estás en el camino de convertirte en uno), este briefing te colocará en una posición estratégica para alcanzar el éxito comercial con la IA generativa.Lo que aprenderásEstrategia de IA, toma de decisiones en IA y liderazgo en IA.Este taller desarrolla tu expertise a través de 3 módulos:Módulo 1: C
This course explores the intersection of generative AI and blockchain technology, examining how they can mutually enhance each other to create innovative solutions across various industries. It covers how blockchain can provide a secure and transparent infrastructure for data integrity, enable trusted federated learning, and improve AI decision-making.
A beginner-level micro-learning course that provides an overview of Large Language Models, including their architecture, frameworks, and applications. It also introduces fundamental NLP concepts.
A comprehensive course on leveraging Generative AI in marketing and sales. It includes modules on forecasting trends, analyzing sales data, and a specific section on Customer Lifetime Value Prediction with GenAI.
This course equips you with the skills to build real-world NLP applications using transformer models from the Hugging Face ecosystem. You will gain hands-on experience with speech-to-text pipelines, sentiment analysis, and text generation.
This course covers the LLMOps pipeline, including pre-processing training data for supervised instruction tuning, and adapting a supervised tuning pipeline to train and deploy a custom LLM. You'll learn best practices like versioning your data and models, and pre-processing large datasets. The course also touches on responsible AI by outputting safety scores.
This specialization is designed for consultants to leverage Generative AI tools effectively. It covers the application of Gen AI across industries to address complex challenges and deliver value to clients through innovative approaches, with a focus on responsible and ethical use.
An innovative program designed to empower leaders with the skills to harness the full potential of large language models like ChatGPT, revolutionizing leadership strategies and productivity in business and personal life.
Watch the FREE PREVIEW lessons to get a SNEAK PEEK at ChatGPT & Midjourney - start learning how to use these powerful AI Tools right now!ALWAYS UPDATED: This ChatGPT+ Course is Constantly Being Updated. Since launch we've:Added new ChatGPT with the latest releases of Chat GPT 4, Connection to the Internet, Plugins, and moreAdded a complete Midjourney course for creating AI based imagesAdded a complete Google Bard (now Gemini) course for an alternative to ChatGPTAdded lessons on other AI tools like DALL-E, Pictory AI for video creators, and moreAdded lessons on Adobe FireflyWe'll start with the basics, including what ChatGPT, Google Bard, & Midjourney are, why you should use these tools, and how they work. You'll learn how to create your account and get started with ChatGPT, Google Bard, & Midjourney. You will also learn how to use ChatGPT, Google Bard, & Midjourney to improve your business, content, or marketing and strategies.To help you quickly start using ChatGPT, Google Bard, & Midjourney, you'll receive a downloadable list of prompts that you can try out yourself.Key Concepts of this Course:Prompt EngineeringGenerative AIAI Text Content GenerationChatGPT IntensiveGoogle Bard IntensiveMidjourney IntensiveOpen AIDALL-E 2What can ChatGPT, Google Bard, & Midjourney do for you? Here are some examples we'll be covering in this ChatGPT Masters course.AI For Content CreationFind Keywords fo
If you are completely new to the AI world, then this course is for you. Whether you're a student, freelancer, content creator, or working professional, this beginner-friendly course will help you understand and use the tools that are shaping the future of work and communication.At the heart of this course is ChatGPT, a powerful AI chatbot built by OpenAI using advanced Generative AI. ChatGPT can write, explain, brainstorm, summarize, translate, create images, and even help with coding — all through natural, human-like conversations. You’ll learn how to use ChatGPT to speed up your work, generate content, solve problems, and bring ideas to life.But ChatGPT is just one part of a bigger picture. This course also introduces you to the core concept behind it: Generative AI. Generative AI is a type of artificial intelligence that creates new content — not just text, but also images, audio, video, code, and more. To use these tools effectively, you need to learn Prompt Engineering — the essential skill of writing clear, specific instructions (called prompts) to guide AI. Since AI doesn't “understand” like humans do, your input has to be carefully written to get accurate, high-quality results. This course teaches you how to craft effective prompts, provide context, define tone or format, and refine your output step by step.What You'll Learn:ChatGPT fundamentalsChatGPT best practicesChatGPT promptsChatGPT Real-world use casesChatGPT advanced featuresAI FundamentalsGenerative AI FundamentalsPrompt EngineeringPrompt Engineering techniquesWhat is ChatGPT?ChatGPT is a smart AI chatbot developed by OpenAI. It can understand what you type and respond in a natural, human-like way. You can us
A comprehensive article that explains the concepts of feature engineering and selection, and provides methods for handling missing data, continuous features, and categorical features, along with different feature selection techniques.
This program focuses on designing, planning, and operating intelligent and integrated energy systems. It covers the integration of renewable energy sources, energy storage, electric vehicles, and the use of AI and machine learning for digitalization and optimization of the grid.
Introduction to generative AI including LLMs, image generation, and practical applications of Gen AI technology.
Master natural language processing techniques using Python. Learn text processing, sentiment analysis, and language models.
Learn to build production-ready applications using large language models. Covers prompting, RAG, and deployment.
Explore the design of scalable generative AI systems guided by a structured framework and real-world systems in text, image, audio, and video generation.
Explore AI fundamentals, history, models, and ethics in our generative AI course and gain the skills to innovate and lead in an AI-driven future.
This course covers the GenAI revolution and its role in securing a career with AWS Certified AI Practitioner AIF-C01, focusing on AI services, machine learning, and cloud AI.
Learn how large language models work, from inference and training to prompting, embeddings, and RAG. Build practical skills to apply LLMs effectively in real-world language applications.
Discover how to leverage LangChain for the development of LLM-powered applications. Learn about prompt templates, chains, memory types, and tools to build AI applications.
Explore the free generative AI course and familiarize yourself with the concepts of LLMs, fine-tuning, RAG, vector DBs, diffusion models, chatbots, agents, and prompting techniques.
Explore this beginner RAG course to learn the basics of retrieval-augmented generation. For hands-on practice, build RAG pipelines using LangChain and create user-friendly applications with Streamlit.
Explore Google BERT, fine-tune NLP tasks, discover variants, and build real-world applications with cutting-edge transformer models.
In this free course, you will learn the fundamentals of chatbots with Python. You will build secure, AI-powered chatbots step-by-step for learning and experimentation.
Gain insights into fine-tuning LLMs with LoRA and QLoRA. Explore parameter-efficient methods, LLM quantization, and hands-on exercises to adapt AI models with minimal resources efficiently.
Lead the GenAI revolution by exploring OpenAI's API and mastering ChatGPT. Gain hands-on experience, implement innovative applications, and future-proof your skills for the AI-driven future.
This course will teach you to design, build, and optimize AI chatbots using transformers and RAG through hands-on projects and Streamlit UI.
This prompt engineering for marketing course shows solopreneurs and small businesses how to leverage prompt engineering for market research, SEO, marketing campaigns, and customer service.
Explore this Gemini course to master Google Gemini's AI features, including text-to-text and image-to-text. Build apps, learn prompting techniques, and enhance workflows with tools like Vertex AI.
Lead the GenAI revolution, future-proof your skills by exploring generative models, transformer networks, and state-of-the-art applications in text, image, and video generation.
In this GraphRAG course, you will learn how to use a knowledge graph to implement an RAG application with Neo4j and OpenAI ChatGPT, enhancing response accuracy and reducing hallucinations.
Explore this AI chatbots course to build Python-based multimodal chatbots with Gradio, Rasa, Gemini, and Whisper v3. Learn LLM-powered techniques, RAG integration, and deploy on Hugging Face.
Explore generative AI with Python and TensorFlow 2, mastering advanced algorithms, implementing models, and leveraging cloud resources to future-proof your skills and lead the GenAI revolution.
Learn the OpenAI API with Python and NLP by mastering API endpoints, text generation, moderation, embeddings, and Flask integration for real-world tasks.
Learn to integrate the OpenAI API with JavaScript and React for NLP tasks like text generation, classification, moderation, and embeddings in dynamic apps.
Learn to extract useful information from text and format it for machine learning models. The course covers POS tagging, named entity recognition, readability scores, and implementing tf-idf models using scikit-learn and spaCy.
A tutorial that covers the essentials of synthetic data generation, including various techniques and tools. It provides practical Python code examples for creating synthetic data for AI and machine learning.
A five-week course that dives into the essential concepts and hands-on skills needed to master RAG and apply them in AI engineering for real-world solutions. You will learn to build RAG systems from scratch and explore advanced topics like hybrid search and multimodal retrieval.
In partnership with AMD, this course teaches how to apply fine-tuning and reinforcement learning to improve LLM behavior, reasoning, and safety. You will learn about the post-training lifecycle, core techniques like RLHF and LoRA, and how to design evaluations to detect issues like reward hacking and diagnose failures.
This course introduces Machine Learning Operations tools to manage the complexities of AI projects. You will learn to use Weights & Biases to track experiments, version data, and collaborate. The course covers instrumenting a Jupyter notebook, managing hyperparameters, logging metrics, and tracing prompts and responses to LLMs over time.
This course, developed in collaboration with Hugging Face, teaches the fundamentals of model quantization. You will learn to compress large models, making them more accessible and efficient, using the Hugging Face Transformers library and Quanto.
Learn how to make safer LLM apps by attacking various chatbot applications using prompt injections to understand security failures. This course, in collaboration with Giskard, teaches industry-proven red teaming techniques to proactively test, attack, and improve the robustness of your LLM applications.
Discover how AI can enhance productivity, improve cognition, and accelerate discovery in public sector organizations and learn about the importance of responsible AI practices.
This free course for beginners covers the basics of sentiment analysis using Python, including text pre-processing, vectorization, and modeling. It has a high number of learners.
Welcome to "ChatGPT for Pros: Generative AI and Prompt Engineering"—a comprehensive, beginner-friendly course designed to help you unlock the full potential of ChatGPT and Generative AI. Whether you're an aspiring entrepreneur, freelancer, content creator, or professional, this course will teach you how to effectively use AI tools to enhance your productivity and generate income across multiple industries.In this course, you'll begin with the basics of ChatGPT, learning how to set up your account and navigate the interface. You'll explore the foundational concepts of Generative AI, understanding how it works and how it can be applied to streamline your workflows. As you progress, you’ll dive deep into Prompt Engineering, discovering how to craft effective and specific prompts to maximize the quality of ChatGPT’s output.You’ll learn how to harness the power of ChatGPT for diverse applications such as content creation, including writing blogs, eBooks, and social media posts, as well as crafting compelling copy for marketing campaigns. The course also covers using Generative AI for freelancing, where you'll discover how to optimize your profile on platforms like LinkedIn, design a portfolio website, and find clients using AI-driven tools. Additionally, you will learn how to create passive income through blogging and digital product creation, allowing you to generate revenue with minimal ongoing effort.We also explore how to integrate Generative AI into business automation, showing you how to automate tasks like social media scheduling, email marketing, and customer support, freeing up more of your time to focus on growth. By the end of this course, you’ll be equipped with the skills to use ChatGPT to drive business success, wh
Your journey to AI and ChatGPT success begins here! This course will take you from a beginner to someone who knows how AI and ChatGPT and Generative AI and Prompt Engineering work, knows how to use the power of AI tools to master productivity, and feel really confident about writing effective prompts. This course is designed for those who want to learn the complete ChatGPT, Generative AI and Prompt Engineering. It covers everything to learn AI. I have been using AI tools for my work. I have gained the knowledge in AI. I decided to create this course and share my knowledge and best-kept secrets - to debunk the AI myths, set the record straight, share my experiences with ChatGPT, and all the lessons I’ve learned along the way, and of course, show you how easy it can become to boost your productivity and expand your creativity with the help of AI.You will learn how to use ChatGPT to generate content more productively, beat creative blocks, and optimize your creative process. We will also look at how to quickly research new topics, how to summarize long content formats and repurpose them, and whether it is possible to scale your business thanks to AI. This course will teach you the basics, the advanced stuff, and everything in between. Join me, and we will uncover the truth about AI, ChatGPT, and all the AI-powered tools. I hope you got excited already because, well, there’s a lot to uncover! Let’s go!
Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. Machine Learning is the most in-demand and Highest Paying job of 2017 and the same trend will follow for the coming years. With an average salary of $120,000 (Glassdoor and Indeed), Machine Learning will help you to get one of the top-paying jobs. This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science! At the end of the course you will be able to Master Machine Learning using PythonDemystifying Artificial Intelligence, Machine Learning, Data ScienceExplore & Define a ML use caseML Business Solution BlueprintExplore Spyder, Pandas and NumPyImplement Data EngineeringExploratory Data Analysis Introduction to Statistics and Probability DistributionsLearn Machine Learning MethodologyUnderstand Supervised Learning Supervised LearningImplement Simple & Multiple Linear RegressionDecision TreesRegression & Classification Model EvaluationCross Validation, Hyperparameter Ensemble ModelingRandom Forest & XGBoost Learning Machine Learning is a definite way to advance your career and will open doors to new Job opportunities. 100% MONEY-BACK GUARANTEE This course comes with a 30-day money back guarantee. If you're not happy, ask for a refund, all your money back, no questions asked. Feel forward to have a look at course description and demo videos and we look forward to see you inside.
A hybrid program for energy engineers to apply data science and AI techniques. It combines theoretical knowledge with practical use cases, focusing on analyzing, forecasting, and optimizing energy use with Python.
Sentiment analysis and machine translation models are used by millions of people every single day. These deep learning models (most notably transformers) power different industries today. With the creation of much more efficient deep learning models, from the early 2010s, we have seen a great improvement in the state of the art in the domains of sentiment analysis and machine translation.In this course, we shall take you on an amazing journey in which you'll master different concepts with a step-by-step approach. We shall start by understanding how to process text in the context of natural language processing, then we would dive into building our own models and deploying them to the cloud while observing best practices. We are going to be using Tensorflow 2 (the world's most popular library for deep learning, built by Google) and HuggingfaceYou will learn:The Basics of Tensorflow (Tensors, Model building, training, and evaluation).Deep Learning algorithms like Recurrent Neural Networks, Attention Models, Transformers, and Convolutional neural networks.Sentiment analysis with RNNs, Transformers, and Huggingface Transformers (Deberta)Transfer learning with Word2vec and modern Transformers (GPT, Bert, ULmfit, Deberta, T5...)Machine translation with RNNs, attention, transformers, and Huggingface Transformers (T5)Model Deployment (Onnx format, Quantization, Fastapi, Heroku Cloud)If you are willing to move a step further in your career, this course is destined for you and we are super excited to help achieve your goals!This course is offered to you by Neuralearn. And just like every other course by Neuralearn, we lay much em
The ChatGPT Masterclass Zero to Hero is a comprehensive course designed to equip you with the necessary skills and knowledge to master the art of communication through text. This course is ideal for individuals who want to improve their software development skills, and writing skills, enhance their online presence, or simply communicate more effectively in today's digital world.Throughout this course, you will be guided by ChatGPT and also applying Generative AI, a large language model trained by OpenAI, based on the GPT-3.5 architecture. ChatGPT will serve as your personal tutor, providing you with customized feedback and guidance every step of the way.Participate in Practice test to test your learning skillsupdate: Learn the top AI tools every professional needs to boost productivityThe course is divided into several modules, each covering a specific topic related to the development and text communication. These modules include:Introduction to ChatGPT - In this module, you will learn the basics of ChatGPT text communication and its importance in today's world. You will also learn about the different types of text communication and their respective applications.Developer Techniques - In this module, you will learn about the different techniques that can be used to improve your software development skills. You will learn about programming, website creation, code debugging, and other aspects of writing that can make your code development more effective.Understanding your Business - In this module, you will learn about the importance of understanding your SEO when communicating through a website. You will learn how to tailor your message to different audiences and how to use language to effectively convey your message to scale your business.ChatGPT for Students - I
Embark on a comprehensive journey into the world of AI agents with LangGraph. This course is designed to guide you from fundamental concepts to advanced techniques, equipping you with the skills to build sophisticated AI systems. Starting with the core principles, you'll learn about graphs, nodes, edges, and states, and see how they form the foundation of LangGraph workflows. The course begins with constructing a basic agent, allowing you to grasp the essentials through hands-on practice.Next, you'll dive deeper by building a News Writer Agent, enhancing your understanding by integrating state and tools into your agents. The focus will be on practical applications, ensuring you can visualize and test your agents effectively. Finally, the course introduces advanced techniques, including reflection, human-in-the-loop processes, checkpointers, and threads. You'll also learn to incorporate custom tools, adding versatility and functionality to your agents. Whether you're a beginner or looking to advance your skills, this course provides a structured, step-by-step approach to mastering AI agent development with LangGraph.The goal of this course is to equip you with the understanding and skills you need to build your own agents. There are plenty of off-the-shelf agents available via LangGraph and other resources. However, in our experience, when building agents for production you will need to be able to customize. At the end of this course, it is our goal to make sure that you are capable of building your own custom workflows in LangGraph.Note: Prior python programming experience and some experience with LangChain are required for this course.
UPDATES NOVEMBER 20252026 Version of the course released with all code up to date.OpenAI Responses Endpoint and GPT-5 implemented across the sections.New no-code RAG with Flowise.New Project with Streamlit.UPDATES JUNE 2025Launched 2 sections: Image Generation with OpenAI and Reasoning ModelsMCP is now live!UPDATES MAY 2025Launch of 2 new sections: RAG with OpenAI File Search and RAGASMinor video remakes due to mistakes.UPDATES APRIL 2025:Remake of 3 sections: Retrieval Fundamentals, Generative Fundaments and Introduction to RAGAdded Knowledge Graphs with Light RAGUPDATES DECEMBER 2024:Fine Tuning OpenAI GPT-4oPython Crash Course + Self-assessmentUPDATES NOVEMBER 2024:CrewAI and CrewAI Capstone Project launchedThe section on OpenAI API for Text and Images is live + OpenAI API Capstone ProjectUPDATES OCTOBER 2024:OpenAI Swarm is liveAgentic RAG is liveMultimodal RAG Project is liveUnlock the Power of RAG, AI Agents, and Generative AI with Python and OpenAI in 2026!Welcome to "RAG, AI Agents, and Generative AI with Python and OpenAI 2026"—the ultimate course to master Retrieval-Augmented Generation (RAG), AI Agents, and Generative AI using Python and OpenAI's cutting-edge technologies. If you aspire to become a leader in artificial intelligence, machine learning, and natural language processing, this is the course you've been waiting for!<s
Complete natural language processing specialization covering transformers, attention mechanisms, and modern NLP techniques.
A concise, beginner-friendly course that provides a quick dive into the essentials of crafting effective prompts for various generative AI systems. It's packed with insights despite its short duration.
Welcome to the Comprehensive Generative AI Course, your gateway to mastering the exciting world of Generative Artificial Intelligence. With this course, you'll gain the knowledge and skills needed to excel in this rapidly growing field which is expected to be valued at $100 billion over the next years.With multiple hours of content, world class slides and resources, this course is the most detailed Generative AI course you will find. Even if you have zero programming experience, this course will take you from beginner to mastery. Here's why:The course is taught by a PhD in computer science with multiple publications who has taught in multiple universities all over the world for years. The course has been created to be 2023 ready and you'll be learning the latest tools and technologies used at large companies such as OpenAI.This course doesn't cut any corners, there are beautiful detailed presentations, assignments, projects, downloadable resources, articles, and so much more. The curriculum was developed over years while the instructor taught at the university level, with comprehensive student testing and feedback.We've taught thousands of students how to code and many have gone on to change their lives by becoming professional developers or starting their own tech startup.The course is constantly updated with new content, with new projects and modules determined by students - that's you!We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to understand Generative AI and succeed in the industry. The course includes multiple hours of HD video tutorials and builds your knowledge while working on actual a
Mastering LoRA Fine-Tuning on Llama 1.1B with the Guanaco Chat Dataset: Training on Consumer GPUsUnleash the potential of Low-Rank Adaptation (LoRA) for efficient AI model fine-tuning with our groundbreaking Udemy course. Designed for forward-thinking data scientists, machine learning engineers, and software engineers, this course guides you through the process of LoRA fine-tuning applied to the cutting-edge Llama 1.1B model, utilizing the diverse Guanaco chat dataset. LoRA’s revolutionary approach enables the customization of large language models on consumer-grade GPUs, democratizing access to advanced AI technology by optimizing memory usage and computational efficiency.Dive deep into the practical application of LoRA fine-tuning within the HuggingFace Transformers framework, leveraging its Parameter-Efficient Fine-Tuning Library alongside the intuitive HuggingFace Trainer. This combination not only streamlines the fine-tuning process, but also significantly enhances learning efficiency and model performance on datasets.What You Will Learn:Introduction to LoRA Fine-Tuning: Grasp the fundamentals of Low-Rank Adaptation and its pivotal role in advancing AI model personalization and efficiency.Hands-On with Llama 1.1B and Guanaco Chat Dataset: Experience direct interaction with the Llama 1.1B model and Guanaco chat dataset, preparing you for real-world application of LoRA fine-tuning.Efficient Training on Consumer GPUs: Explore the transformational capability of LoRA to fine-tune large language models on consumer hardware, emphasizing its low memory footprint and computational advantages.Integration with HuggingFace Transformers: Master the use of the HuggingFace Parameter-Efficient Fine-Tuning Library and the HuggingFace Trainer for streamlined and effective model adaptation.Insightful Analysis of the L
This complete Generative AI course takes you from beginner to advanced with hands-on projects, real-world applications, and career-ready skills. You’ll learn the foundations of Generative AI, explore Large Language Models (LLMs), master frameworks like LangChain, LlamaIndex, CrewAI, and PydanticAI, and deploy your own AI solutions on the cloud. The course is tailored to equip you with both the knowledge and practical experience required to step into a Generative AI Engineer role.Each section includes quizzes & coding exercises to help you test your knowledge and reinforce your skills.What you’ll learn in each section1. Introduction – Get started with the course, understand what you will learn & set up Python environments (Colab, Jupyter, PyCharm).2. Generative AI – Foundation – Understand AI vs ML vs DL vs GenAI, dive into Large Language Models, and learn the Transformer architecture.3. Accessing LLMs in Python – Use OpenAI, Gemini, Groq, and Ollama LLMs, and connect them through LangChain and LlamaIndex.4. Prompt Engineering – Explore prompt templates, zero-shot, and few-shot prompting to effectively interact with LLMs.5. Building GenAI Chatbots – Build and deploy chatbots step by step using LangChain, LlamaIndex, Streamlit UI, and Streamlit Cloud.6. Retrieval-Augmented Generation (RAG) – Understand RAG, build RAG pipelines with LangChain and LlamaIndex, and create a PDF Q&A bot.7. AI Agents – Learn what AI agents are and build agents with PydanticAI, AutoGen, and CrewAI for multi-agent workflows.8. LLM Deployment – Deploy open-source LLMs with Ollama, Docker, and vLLM, and set them up on AWS EC2 for real-world usage.
The demand for Data Scientists is immense. In this course, you'll learn how you can play a part in fulfilling this demand and build a long, successful career for yourself.The #1 goal of this course is clear: give you all the skills you need to be a Data Scientist who could start the job tomorrow... within 6 weeks.With so much ground to cover, we've stripped out the fluff and geared the lessons to focus 100% on preparing you as a Data Scientist. You’ll discover:The structured path for rapidly acquiring Data Science expertiseHow to build your ability in statistics to help interpret and analyse data more effectivelyHow to perform visualizations using one of the industry's most popular toolsHow to apply machine learning algorithms with Python to solve real world problemsWhy the cloud is important for Data Scientists and how to use itAlong with much more. You'll pick up all the core concepts that veteran Data Scientists understand intimately. Use common industry-wide tools like SQL, Tableau and Python to tackle problems. And get guidance on how to launch your own Data Science projects.In fact, it might seem like too much at first. And there is a lot of content, exercises, study and challenges to get through. But with the right attitude, becoming a Data Scientist this quickly IS possible!Once you've finished Introduction to Data Science, you’ll be ready for an incredible career in a field that's expanding faster than almost anything else in the world.Complete this course, master the principles, and join the ranks of Data Scientists all around the world.
A foundational course for beginners that provides a comprehensive overview of Generative AI concepts, applications, challenges, and opportunities.
This course is the best for mastering the Data Science and Machine Learning from basics. If you are new to Data Science and Machine Learning, This course will help you to learn everything from Basics. This course is designed as a comprehensive and accessible introduction to two of the most transformative fields in the modern digital era. Tailored specifically for those with little to no prior experience, this course aims to demystify the core concepts of data science and machine learning while building a strong foundation for future exploration. Whether you're a student, professional, or enthusiast looking to transition into the tech industry, this course provides the essential knowledge and practical skills to get started.The course begins with a clear overview of what data science is, covering the data lifecycle—from collection and cleaning to analysis and visualization. You are introduced to key tools used in the industry, including Python programming, Jupyter notebooks, and essential libraries like Pandas, NumPy, and Matplotlib. With a hands-on approach, students engage in real-world data manipulation exercises that emphasize clarity and intuition over complexity.By the end of the course, You will have a solid understanding of how data science and machine learning work together to extract insights and drive innovation. They will be equipped with the confidence and skills to explore more advanced topics or pursue further studies in data analysis, machine learning, or artificial intelligence. This beginner-friendly course lays the groundwork for a successful journey into the exciting world of data science, empowering learners to unlock the value hidden in data and make informed, intelligent decisions.
Ready to unlock the full potential of AI? This demo-focused course teaches you how to craft powerful prompts for Grok and ChatGPT, transforming how you create content, write emails, generate images, and streamline workflows. Perfect for beginners and professionals, no prior AI experience is needed—just simple prompts to achieve professional-grade results.This course empowers you to harness Grok and ChatGPT for professional tasks like email writing, content creation, and image generation, plus personal projects as a bonus, saving time and boosting productivity.What You’ll LearnWith Grok and ChatGPT, you can:Craft Professional Emails: Write sales pitches, job applications, or customer responses in seconds, tailored to any audience or style.Create Compelling Content: Generate blog posts, social media content, or ad copy for marketing, education, or creative projects.Design Stunning Visuals: Use tools like Stable Diffusion, Grok, Midjourney, Wombo or DALL·E to create vivid images with precise prompts.Automate Workflows: Streamline repetitive tasks like reports, summaries, or scheduling with clear, structured prompts.Boost Creativity: Produce stories, lesson plans, or innovative solutions with AI-driven precision.Course HighlightsDemo-Driven Learning: See Grok and ChatGPT in action with real-world examples across email, content, and image creation.Comprehensive Prompt Engineering: Master prompt components (instruction, context, constraints, examples) and types (open-ended, role-based, few-shot, zero-shot).Avoid Common Pitfalls: Learn to eliminate ambiguity, overloading, and vague prompts
Welcome to your transformative journey into the world of artificial intelligence and deep learning! This isn't just another course – it's your comprehensive AI education blueprint that delivers the equivalent content of five premium courses bundled into one power-packed learning experience. After six months of intensive research, we've created a program that will transform you from a complete beginner into a confident AI practitioner.What You'll LearnMaster fundamental principles of machine learning and advance to transformer models, attention mechanisms, and generative AIBuild your first neural networks using PyTorch and TensorFlowExplore natural language processing (NLP) with GPT-4, Claude, and other large language models (LLMs)Develop AI agents using LangChain that can reason, plan, and execute complex tasksCreate Retrieval-Augmented Generation (RAG) systems with vector databases and embeddingsMaster prompt engineering techniques for optimal AI resultsImplement computer vision applications using convolutional neural networks (CNNs)Apply reinforcement learning principles to create self-improving AI agentsDesign AI automation strategies that streamline workflows and reduce costsUnderstand AI ethics and responsible development practicesLearn model fine-tuning techniques for specific domainsDeploy AI solutions using AWS, Google Cloud
Learn AI Code Generation with GitHub Copilot
Master OCR with Python and OpenCV: Become a Computer Vision ExpertUnlock the Power of Text Extraction with AI & Generative AIThis comprehensive course will equip you with the skills to:Build Cutting-Edge OCR Systems: Go beyond traditional OCR with Python and OpenCV. Learn to leverage the power of Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) to create intelligent and accurate text extraction systems.Master Deep Learning Techniques: Dive into advanced deep learning models like CTPN and EAST for text detection and recognition.Integrate GenAI for Enhanced OCR: Discover how to integrate Generative AI with LLMs and RAG to improve OCR accuracy, extract insights from unstructured text, and automate complex document processing tasks.Apply OCR to Real-World Scenarios: Implement OCR solutions for a variety of applications, including document digitization, invoice processing, and more.Stay Ahead of the Curve: Keep up with the latest advancements in OCR, Computer Vision, LLMs, RAG, and Generative AI.Key Features:Hands-On Projects: Gain practical experience with real-world projects, such as invoice processing, KYC digitization, and business card recognition.Expert Guidance: Learn from experienced instructors who will guide you through every step of the process.In-Depth Coverage: In-Depth Coverage: Explore a wide range of topics, from fundamental image processing and deep learning to advanced LLM and RAG techniques.Dedicated Support: Get 24/7 support from our team of experts.Flexible Le
An introductory course that covers the fundamentals of managing and deploying Large Language Models (LLMs) in production. It includes topics on deployment, monitoring, fine-tuning, scaling, and automating workflows using tools like TensorFlow and Hugging Face.
Master LangChain, OpenAI, Llama, DeepSeek and Hugging Face. Learn to Create hands-on generative LLM-powered applications with LangChain. Create powerful web-based front-ends for your LLM Application using Streamlit.By the end of this course, you will have a solid understanding of the fundamentals of LangChain OpenAI, Llama, DeepSeek and HuggingFace. You'll also be able to create modern front-ends using Streamlit in Python.Dive into hands-on projects that will shape your expertise, including:Project 1: Create a Simple Chatbot with Llama 2 and LangChainProject 2: PDF Chat App (GUI) | ChatGPT for Your PDF File - Streamlit Application to chat with your PDF file using LangChain and OpenAI.Project 3: YouTube Script Writing App - Effortlessly create title and script for the YouTube video using LangChain and OpenAIProject 4: MCQ Quiz Creator App - Seamlessly create multiple-choice quizzes for your students using LangChain and OpenAI/ Hugging FaceProject 5: Chat with Multiple PDF Documents | Streamlit Application- Chat with your PDF files using LangChain and OpenAI.Project 6: Support Chat Bot For Your Website - Helps your visitors/customers to find the relevant data or blog links that can be useful to them.Project 7: YouTube Video Summarizer - YouTube Video Summarizer, powered by the dynamic duo of LangChain and OpenAI! In this groundbreaking tool, we have harnessed the cutting-edge capabilities of language processing technology to transform the way you consume YouTube content.Project 8: Summarize PDF Using LangChain, OpenAI and Gradio: Summarize PDF files using Lang Chain and OpenAI and create a sharable web interface using GradioProject 9: PrivateGPT- Chat with your Files Offline and FreeP
Updated videos with new and improved slides. Fixed all the voice issues. Hope you like the course and please give feedback!Unlock the Power of Amazon Bedrock to Build AI-Powered ApplicationsWelcome to Mastering Amazon Bedrock, a comprehensive course designed to help you harness the power of AWS Bedrock’s tools and services. Whether you're a beginner or an experienced developer, this course will take you step-by-step through concepts, configurations, and hands-on exercises that showcase the potential of AWS Bedrock in building intelligent applications.What You’ll Learn:Knowledge Bases (KB): Dive deep into the concept of vector embeddings and retrieval-augmented generation (RAG), essential for optimizing large-scale AI applications. Learn how to configure Knowledge Bases and integrate them seamlessly with other AWS Bedrock tools using practical examples to solidify your understanding.RAG with Amazon Bedrock - We will use Anthropic Claude Model with OpenSearch Serverless as vector storage to perform the RAG operationsRAG with Open Source - We will also use OpenAI's ChatGPT model with in memory vector storage to perform RAG operationsRetrievers - RAG pattern relies heavily on retrieval. There are many ways to retrieve data for summarization. We will learn and explore about different ways to retrieve the contents. Followed by a hands-on activity AI Agents: Master the configuration of AWS Bedrock agents to streamline AI workflows. Gain hands-on experience in implementing action groups, handling parameters, and orchestrating requests effectively to Knowledge Bases. Understand how agents serve as the backbone of dynamic and intelligent AI interactions. We will cover 2 use cases of AI Agents. Multimodal Nutritional AI Agent - We
Whether you're a manual tester looking to get into automation or a QA engineer curious about how AI can help, but not replace you, this course is for you.In this hands-on course, you'll learn how to use tools like ChatGPT and GitHub Copilot to boost your productivity, reduce repetitive work, and accelerate your testing workflow. No deep coding experience required! We’ll guide you through everything step by step.We'll start with the basics: what AI is (and isn’t), how it fits into QA, and how to prompt tools like ChatGPT to generate test cases, write automation scripts, and even help with bug reporting. From there, you’ll build confidence using GitHub Copilot to generate and refactor real automated tests in Playwright, while learning how to review and improve what the AI gives you.This isn’t just “watch a tool do stuff.” You’ll actually learn how to guide AI tools like a QA pro, because you still drive the logic. AI just helps you get there faster.Tools We’ll Use:ChatGPT (Plus version recommended)GitHub Copilot in Visual Studio Code (Pro version recommended)Playwright (for test automation examples)JavaScript (beginner-friendly)By the end of this course, you’ll understand how to confidently use modern AI tools to make your QA work faster, smarter, and a lot more fun.
Are you ready to learn how to build powerful and AI-supported chatbots from scratch?there are a lot of courses out there that teach you how to develop chatbots. So what makes this course DIFFERENT?We're NOT going to use any cloud-based chatbot solutions like Dialogflow, IBM Watson, or Microsoft Azure. Instead, we'll be focusing on free and open-source technologies that are just as robust and powerful.We're NOT just going to talk only about the basics of chatbot development. We’re going to dive deeply into this world.This course is full of project-based tutorials. A lot of techniques will be derived via developing a set of chatbot projectsChatbots are everywhere and are becoming an increasingly important part of our daily lives. They're used for a wide range of applications, from customer service to online shopping, and they're only getting more advanced and sophisticated.In the course, we delve into the different types of chatbots and their use cases, including rule-based chatbots, AI-powered chatbots, and conversational AI. We also cover the various technologies and platforms that are used to build chatbots, such as natural language processing (NLP), machine learning (ML), and chatbot development open-source projects like Botpress, SetFit, GLiNER, Transformers, langChain, fastAPI, Docker, and more.In this course, you will learn:How to Setup Your Development Environment ToolsHow to Install and start your first Botpress projectYou will Understand what the conversation flow studio isDevelop the different types of chatbot response templatesYou will learn how
Welcome to Building Machine Learning & NLP Models for Cyber Security course. This is a comprehensive project based course where you will learn how to build intrusion detection system, predict vulnerability score, and classify cyber threat using machine learning models like Random Forest Classifier, Logistic Regression, MLP Regressor, Decision Tree Regressor, KNN, XGBoost, Naive Bayes, and K Means Clustering. This course is a perfect combination between machine learning and cyber security, making it an ideal opportunity to practice your programming skills while improving your technical knowledge in system security. In the introduction session, you will learn about machine learning and natural language processing applications in cyber security, specifically how it can help to enhance risk management and strengthen overall security. Then, in the next section, we will learn how intrusion detection models work. This section will cover data collections, data preprocessing, feature selection, splitting data into training and testing sets, model selection, model training, detecting intrusion, model evaluation, deployment, and monitoring. Afterward, we will download cyber security datasets from Kaggle, it is a platform that offers many high quality datasets from various sectors. Once everything is all set, then, we will start the project, firstly, we will clean the dataset by removing all missing values and duplicates, after we make sure the data is clean and ready to use, we will start exploratory data analysis, firstly we are going to analyze the relationship between protocol type and intrusion, which will enable us to understand how different communication protocols contribute to intrusion risk, following that, we are also going to analyze intrusion rate for each browser type, which will allow us to uncover potential vulnerabilities associated with specific browsers, then, we are going to calculate the average login attempts and failed logins for both normal and intru
Welcome to the forefront of artificial intelligence with our groundbreaking course on Generative AI (GenAI), the OpenAI API, DeepSeek, and ChatGPT. With ChatGPT and DeepSeek, you'll learn how to build with the world's most advanced Large Language Models (LLMs). This course is a must-have if you want to know how to use this cutting-edge technology for your business and work projects.This course contains 5 main sections:Basic API Usage: All the fundamentals: signup for an account, get your API key, set environment variables on Windows / Linux / Mac, using the API in Python, setup billing, understand the pricing model, and OpenAI's usage policies. Of note is the chatbot tutorial, which goes over how to incorporate chat history into the model so that ChatGPT "remembers" what it said to you previously. A customer service chatbot will serve as a running example throughout this course.Prompt Engineering: ChatGPT Prompt Engineering for Developers - All about how to make ChatGPT do what you want it to do. We'll explore various example use-cases, such as getting ChatGPT to output structured data (JSON, tables), sentiment analysis, language translation, creative writing, text summarization, and question-answering. We'll explore techniques like chain-of-thought (CoT) prompting, and we'll even look at how to use ChatGPT to build a stock trading system!Retrieval Augmented Generation (RAG): Learn how to incorporate external data into LLMs. This powerful technique helps mitigate a common problem called "hallucination". It's critical if you have proprietary data (like product info for your company) that your LLM doesn't know about. You'll learn how semantic search / similarity search works, and how to implement it using FAISS (Facebook AI Similarity Search library). Learn how this will allow you to "chat with your data".Fine-Tuning:</stron
Welcome to our Machine Learning Projects course! This course is designed for individuals who want to gain hands-on experience in developing and implementing machine learning models. Throughout the course, you will learn the concepts and techniques necessary to build and evaluate machine-learning models using real-world datasets.We cover basics of machine learning, including supervised and unsupervised learning, and the types of problems that can be solved using these techniques. You will also learn about common machine learning algorithms, such as linear regression, k-nearest neighbors, and decision trees.ML Prerequisites LecturesPython Crash Course: It is an introductory level course that is designed to help learners quickly learn the basics of Python programming language.Numpy: It is a library in Python that provides support for large multi-dimensional arrays of homogeneous data types, and a large collection of high-level mathematical functions to operate on these arrays.Pandas: It is a library in Python that provides easy-to-use data structures and data analysis tools. It is built on top of Numpy and is widely used for data cleaning, transformation, and manipulation.Matplotlib: It is a plotting library in Python that provides a wide range of visualization tools and support for different types of plots. It is widely used for data exploration and visualization.Seaborn: It is a library built on top of Matplotlib that provides higher-level APIs for easier and more attractive plotting. It is widely used for statistical data visualization.Plotly: It is an open-source library in Python that provides interactive and web-based visualizations. It supports a wide range of plots and is widely used for creating interactive dashboards and data visualization for the web.
Unlock the power of modern Natural Language Processing (NLP) and elevate your skills with this comprehensive course on NLP with a focus on Transformers. This course will guide you through the essentials of Transformer models, from understanding the attention mechanism to leveraging pre-trained models. If so, then this course is for you what you need! We have divided this course into Chapters. In each chapter, you will be learning a new concept for Natural Language Processing with Transformers. These are some of the topics that we will be covering in this course:Starting from an introduction to NLP and setting up your Python environment, you'll gain hands-on experience with text preprocessing methods, including tokenization, stemming, lemmatization, and handling special characters. You will learn how to represent text data effectively through Bag of Words, n-grams, and TF-IDF, and explore the groundbreaking Word2Vec model with practical coding exercises.Dive deep into the workings of transformers, including self-attention, multi-head attention, and the role of position encoding. Understand the architecture of transformer encoders and decoders and learn how to train and use these powerful models for real-world applications.The course features projects using state-of-the-art pre-trained models from Hugging Face, such as BERT for sentiment analysis and T5 for text translation. With guided coding exercises and step-by-step project walkthroughs, you’ll solidify your understanding and build your confidence in applying these models to complex NLP tasks.By the end of this course, you’ll be equipped with practical skills to tackle NLP challenges, build robust solutions, and a
Unlock the Power of Generative AI with ChatGPT – No Experience Needed!Welcome to Generative AI with ChatGPT for Beginners, your step-by-step guide to understanding and using one of today’s most powerful AI tools. Whether you're a student, professional, or simply AI-curious, this course will take you from basic concepts to hands-on applications with ease.We start with foundational topics—what is Artificial Intelligence, and how do Machine Learning, Deep Learning, and NLP (Natural Language Processing) relate? You'll gain a solid understanding of LLMs (Large Language Models), Transformers, tokenization, and key concepts like temperature, top-k, and top-p sampling.Next, we dive into how AI models are built, trained, and fine-tuned. Learn the difference between supervised, unsupervised, and reinforcement learning, and explore concepts like bias, overfitting, underfitting, and analytics types.Then it’s time to get practical. Through real-world examples, you'll learn how to use ChatGPT for writing, planning, data generation, image prompting, and even creative tasks. You'll explore prompt engineering, structure design, and how to verify vs. generate information effectively.We go further with advanced topics like Retrieval-Augmented Generation (RAG), embeddings, vector databases, and multimodal and diffusion models. You'll learn where and how ChatGPT gets its information—and how to guide it responsibly.Finally, we address the big questions: ethical use, hallucinations, job impact, privacy, and how to use AI responsibly with human oversight.Each section includes quizzes, use cases, and interactive hands-on demos to ensure your learning sticks.By the end of the course, you’ll not only understand how generative AI works—you’ll know how to use it confidently and ethically in everyday life and work.Let’s demystify AI together!
This hands-on course teaches you how to build professional level Generative AI Application, intelligent, autonomous AI Agents using MCP (Model Context Protocol) and modern LLM frameworks.Whether you’re an AI beginner or an experienced developer, this course will take you step-by-step through the tools, strategies, and architectures that power modern GenAI applications.What You’ll Learn:- Introduction to Generative AI and its role in modern development- Introduction to Large Language Models (LLMs) and how they power intelligent applications- Generative AI Architecture Basics – understand the core components of a Gen AI application- Advanced Gen AI Application Architecture for scalable and modular systems- How to apply the Retrieval-Augmented Generation (RAG) technique for enhanced responses- Choosing the Right Orchestration Framework for building LLM-powered apps- LangChain – A modern framework for LLM orchestration- LangChain Expression Language (LCEL) – Build AI flows with clean, declarative syntax- Deep dive into the LangChain Ecosystem for agents, tools, memory, and chains- Mastering Prompt Engineering – Learn to craft optimal prompts for LLMs- Level 1 Gen AI Applications – Basic AI-powered tools and assistants- LlamaIndex – An alternative to LangChain for RAG and LLM app orchestration- LLMOps (Large Language Model Operations) – Manage and monitor LLM Apps- Level 2 Gen AI Applications – Build intermediate systems with memory, tools, and retrieval- Develop Multimodal Gen AI Applications (text, image, audio integration)- Build and deploy AI Agents & Multi-Agent Systems using orchestration frameworks- Level 3 (Professional) Gen AI Applications – Real-time, scalable, production-ready systems- CI/CD for Gen AI – Deploy your Gen AI apps with automated pipelines- Understand and implement MCP (Model Context Protocol) - Ha
Unlock the full potential of AI technology with this comprehensive ChatGPT masterclass. This course takes you from the basics to advanced applications, teaching you how to leverage ChatGPT and other AI tools for business growth and professional development.Throughout this practical, hands-on course, you'll master the fundamentals of AI and ChatGPT while learning innovative strategies for implementing these powerful tools in your daily work. From understanding the core concepts of artificial intelligence to mastering advanced prompt engineering techniques, you'll gain the skills needed to stay ahead in today's AI-driven world.The course is structured to provide both theoretical knowledge and practical applications. You'll learn how to create high-quality content efficiently, automate repetitive tasks, and develop AI-powered solutions for your business challenges. We'll cover advanced topics such as prompt optimization, content creation workflows, and monetization strategies using AI tools.Whether you're an entrepreneur looking to scale your business, a content creator seeking to enhance your productivity, or a professional aiming to stay competitive in your industry, this course provides the tools and knowledge you need. Through real-world examples, hands-on exercises, and practical assignments, you'll develop the confidence to implement AI solutions effectively.Join us to transform your approach to work and business in the AI era. No technical background required - just bring your enthusiasm to learn and grow.
Welcome to "AI 4 Everyone: Build Generative AI & Computer Vision Apps"—a comprehensive course designed for anyone looking to unlock the power of AI, whether you are a non-technical professional, or an aspiring AI developer.In this course, you’ll learn how to automate tasks, create powerful applications, and interact with AI models without needing extensive coding knowledge. Even if you’re a beginner, this course will guide you through building practical AI tools that simplify your day-to-day work.What You Will Learn:Automating Tasks with AI: Learn how to write professional emails, summarize YouTube videos, create stunning images, and explain complex graphs—all without writing a single line of code.Developing AI-Powered Applications: Using Python and Streamlit, you’ll create real-world applications like:A Recipe Generator that creates recipes based on your requests.An AI Meal Planner that organizes your meals based on nutritional needs.A YouTube Video to Blog Converter that transforms videos into blog posts.A PDF Sorter to efficiently organize and categorize documents.Document & Database Interactions: Discover how to chat with and extract information from documents, including:Text-to-SQL LLM Applications that query SQL databases.Multi-language Invoice Extractor that extracts text from invoices in various languages.PDF Q&A and sorting: Interact with your PDF files and manage them without the need for training or fine-tuning Large Language Models.LangChain Agents for CSV & JSON: Learn advanced AI techniques, like using LangChain agents to interact with CSV and JSON files for Q&A purp
This course provides an in-depth exploration into LangChain, a framework pivotal for developing generative AI applications. Now fully updated for LangChain 1.0.x — including LCEL, LangGraph-based orchestration, the revamped Agents API, and the langchain_classic imports.Aimed at both beginners and experienced practitioners in the AI world, the course starts with the fundamentals, such as the basic usage of the OpenAI API, progressively delving into the more intricate aspects of LangChain.You'll learn about the intricacies of input and output mechanisms in LangChain and how to craft effective prompt templates for OpenAI models. The course takes you through the critical components of LangChain, such as Chains, Callbacks, and Memory, teaching you to create interactive and context-aware AI systems.Midway, the focus shifts to advanced concepts like Retrieval Augmented Generation (RAG) and the creation of Autonomous Agents, enriching your understanding of intelligent system design. Topics like Hybrid Search, Indexing API, and LangSmith will be covered, highlighting their roles in enhancing the efficiency and functionality of AI applications.Toward the end, the course integrates theory with practical skills, introducing Microservice Architecture in large language model (LLM) applications and the LangChain Expression Language. This ensures not only a theoretical understanding of the concepts but also their practical applications.This course is tailored for individuals with a foundational knowledge of Python, aiming to build or enhance their expertise in AI. The structured curriculum ensures a comprehensive grasp of LangChain, from basic concepts to complex applications, preparing you for the future of generative AI.
A warm welcome to the Deep Learning with TensorFlow course by Uplatz.TensorFlow is an end-to-end open-source machine learning / deep learning platform. It has a comprehensive ecosystem of libraries, tools, and community resources that lets AI/ML engineers, scientists, analysts build and deploy ML-powered deep learning applications. The name TensorFlow is derived from the operations which neural networks perform on multidimensional data arrays or tensors. Deep learning is a subfield of machine learning that is a set of algorithms that is inspired by the structure and function of the brain.TensorFlow is a machine learning framework that Google created and used to design, build, and train deep learning models. You can use the TensorFlow library do to numerical computations, which in itself doesn’t seem all too special, but these computations are done with data flow graphs. In these graphs, nodes represent mathematical operations, while the edges represent the data, which usually are multidimensional data arrays or tensors, that are communicated between these edges.In simple words, TensorFlow is an open-source and most popular deep learning library for research and production. TensorFlow in Python is a symbolic math library that uses dataflow and differentiable programming to perform various tasks focused on training and inference of deep neural networks. TensorFlow manages to combine a comprehensive and flexible set of technical features with great ease of use.There have been some remarkable developments lately in the world of artificial intelligence, from much publicized progress with self-driving cars to machines now composing imitations or being really good at video games. Central to these advances are a number of tools around to help derive deep learning and other machine learning models, with Torch, Caffe, and Theano amongst those at the fore. However, since Google Brain went open source in November 20
Course Description:Discover the fascinating world of Conversational AI with ChatGPT. This course is specifically designed for complete beginners who want to unlock the power of ChatGPT and create captivating conversations.Join us as we demystify the art of using ChatGPT effectively and teach you the secrets of writing compelling prompts. Learn the renowned 5R's of Prompt Engineering technique to craft queries that yield incredible results.In addition, we'll show you how to leverage ChatGPT to excel in job interviews. Imagine having a virtual assistant to help you prepare and rehearse for those critical moments of impressing potential employers.Understand the capabilities and limitations of ChatGPT, and gain the knowledge to navigate its boundaries. We'll guide you through setting up and using ChatGPT seamlessly on your Windows PC, Mac, iPhone, or Android device.Explore various use cases for ChatGPT, igniting your imagination and expanding your understanding of its potential. Plus, discover other exciting Generative AI tools that complement your learning journey.No prior experience is required. This course is tailored for individuals who are eager to learn and have fun experimenting with Conversational AI. All you need is a curious mind, a decent internet connection, and the willingness to embark on this transformative journey.Enroll in today and become a master of Conversational AI!
"Mastering Prompt Engineering: ChatGPT Tips & Best Practices" is a comprehensive Udemy course that focuses on the practical applications of prompt engineering. The course is designed to help you learn how to use ChatGPT effectively and optimize its output for your specific needs.The course starts with an introduction to prompt engineering, covering the basics of how it works and why it's important for working with large language models like ChatGPT. You'll then learn about the different types of prompts and prompt patterns, and how to design effective prompts that give you the results you want from ChatGPT.Throughout the course, you'll be presented with practical examples and best practices for prompt engineering. This way you'll learn how to create prompts that automate software development tasks, generate content for your blog, and solve complex problems in different fields.This course is constantly updated to ensure that you are getting the most relevant and up-to-date information on prompt engineering. As new techniques and best practices emerge, the course will be updated with new content to reflect these changes. You'll also have access to a community of learners and instructors, where you can ask questions, share your own work, and get feedback and support.By the end of the course, you'll have a deep understanding of prompt engineering and how to use ChatGPT (or any other Large Language Model) to achieve your goals more effectively and efficiently. Whether you're a software developer, content creator, or researcher, this course will help you unlock the full potential of large language models through prompt engineering.
चैटजीपीटी कोर्स बेगिनर्स के लिएक्या आप जानते हैं कि आप ChatGPT क्या है और इसका उपयोग क्यों करना चाहिए? क्या आप तैयार हैं इस उपकरण की माहिती और उपयोग सीखने के लिए? अगर हां, तो यह कोर्स आपके लिए है!कौन कौन से छात्र इस कोर्स के लिए हैं:तकनीकी ज्ञान के बिना भी, यह शुरुआती स्तर का कोर्स है, तो यह किसी भी प्रारंभिक सीखने वाले के लिए उपयुक्त है.व्यावासिक योजनाओं और प्रस्तावनाओं को तैयार करने वाले व्यक्तियों के लिए, जो उच्च गुणवत्ता वाले प्रतिपूर्ण आलेख और योजनाएँ बनाना चाहते हैं.कोडिंग और प्रोग्रामिंग के बिना भी, डेवलपर्स और टेक्निकल पेशेवर्स के लिए, जो टेक्स्ट और लिखित सामग्री को और भी सुधारना चाहते हैं.इस कोर्स से छात्र क्या सीखेंगे:ChatGPT के आविष्कार से जुड़े आवश्यक ज्ञान के साथ, वे यह सीखेंगे कि कैसे इसका उपयोग करते हैं और क्यों।उन्हें विभिन्न विषयों पर उच्च गुणवत्ता वाले लिखित आलेख और व्यावासिक योजनाएँ बनाने के लिए उपयुक्त तरीकों की समझ होगी.वे कैसे ChatGPT का उपयोग करके कोडिंग और प्रोग्रामिंग के काम में मदद कर सकते हैं.इस कोर्स से आपको क्या लाभ होगा:क्वालिटी और सुंदर लिखित सामग्री की तैयारी करने के लिए एक शक्तिशाली उपकरण का उपयोग करने की क्षमता.उच्च गुणवत्ता वाले व्यवसायिक योजनाओं और प्रस्तावनाओं का निर्माण करने की कौशल.ChatGPT को साहित्यिक और प्रोग्रामिंग जगत में एक सशक्त साथी के रूप में उपयोग करने की योग्यता.इस कोर्स के माध्यम से, आप आपके व्यवसाय को नई ऊँचाइयों तक पहुँचाने के लिए ChatGPT का उपयोग करने के सारे रहस्य जानेंगे, और विभिन्न क्षेत्रों में आपकी सामग्री की मानकता बढ़ाएंगे। अब इस दुनिया में अपने स्वप्नों को पूरा करने के लिए तैयार हों!Call to Action: अगर आप अपने लेखन और व्यवसाय को नई ऊँचाइयों तक पहुँचाना चाहते हैं, तो अब ही इस कोर्स में शामिल हों! सीखिए ChatGPT का उपय
You're looking for a complete Artificial Neural Network (ANN) course that teaches you everything you need to create a Neural Network model in Python, right?You've found the right Neural Networks course!After completing this course you will be able to:Identify the business problem which can be solved using Neural network Models.Have a clear understanding of Advanced Neural network concepts such as Gradient Descent, forward and Backward Propagation etc.Create Neural network models in Python using Keras and Tensorflow libraries and analyze their results.Confidently practice, discuss and understand Deep Learning conceptsHow this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Neural networks course.If you are a business Analyst or an executive, or a student who wants to learn and apply Deep learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the most advanced concepts of Neural networks and their implementation in Python without getting too Mathematical.Why should you choose this course?This course covers all the steps that one should take to create a predictive model using Neural Networks.Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model . And after running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the business.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Deep learning techniqu
Who Is This Course For?Are you curious about Artificial Intelligence but overwhelmed by buzzwords like NLP, Machine Learning, Deep Learning, and Generative AI? Do you want to understand AI without getting lost in technical jargon? If so, this course is perfect for you! No prior experience required! Whether you're a complete beginner, a student exploring AI for the first time, a professional looking to future-proof your career, or simply someone fascinated by how AI is shaping the world—you’ll walk away with clear, practical knowledge that puts you ahead of the curve.Why This Course?AI is no longer the future—it’s the present! Companies worldwide are integrating AI into their businesses, and those who understand it have a massive advantage in any industry. This course will give you a strong foundation in AI concepts without requiring coding or advanced mathematics. You’ll not only understand what AI is but also how it works and where it's headed, making you confident in conversations, career choices, and future learning. What makes this course special?Clarity over complexity – AI explained in simple, beginner-friendly terms.Practical relevance – Understand AI's real-world applications and how it's shaping industries.Guided learning roadmap – Follow Andrew Ng’s structured approach to mastering AI after this course.Don’t miss out on the AI revolution! Start learning today and gain the knowledge that will set you apart in the world of tomorrow. Enroll now!
In this course I will teach you how to use langchain to build LLM powered Applications and I will be using Open source models from hugging face What is LangChain?LangChain serves as a framework aimed at streamlining the development of applications utilizing Large language models. Functioning as a language model integration framework, LangChain's applications align closely with those of language models, spanning document analysis, summarization, chatbots, and code analysis.What is an LLM?A Large Language Model (LLM) is a type of artificial intelligence model that is trained on a vast amount of text data. It’s designed to generate human-like text based on the input it receives.In this course, I will be using LLMs such as Llama 2 7B and Mistral 7B.What is LCEL?LangChain Expression Language (LCEL) emerges as a declarative method within the LangChain framework, enabling effortless composition of chains. From its inception, LCEL prioritizes seamless transition from prototypes to production, accommodating a spectrum of complexities, from straightforward "prompt + LLM" sequences to intricate chains comprising hundreds of steps. Noteworthy features encompass streaming support for optimal time-to-first-token, asynchronous capabilities for versatile API usage, and optimized parallel execution for reduced latency. LCEL further offers configurations for retries, fallbacks, and access to intermediate results, enhancing reliability and debugging.In this course you learn - Langchain Basics - Langchain Expression Language- Chains- Memory- Agents and Tools- RAG etcDisclaimer: In this course I won't be using Open Ai API instead I would be using Open source models from hugging face and i will be using windows, kaggle
This course is designed to cover maximum concepts of machine learning a-z. Anyone can opt for this course. No prior understanding of machine learning is required.Bonus introductions include Natural Language Processing and Deep Learning.Below Topics are covered Chapter - Introduction to Machine Learning- Machine Learning?- Types of Machine LearningChapter - Setup Environment - Installing Anaconda, how to use Spyder and Jupiter Notebook- Installing LibrariesChapter - Creating Environment on cloud (AWS)- Creating EC2, connecting to EC2- Installing libraries, transferring files to EC2 instance, executing python scriptsChapter - Data Preprocessing- Null Values- Correlated Feature check- Data Molding- Imputing- Scaling- Label Encoder- On-Hot EncoderChapter - Supervised Learning: Regression- Simple Linear Regression- Minimizing Cost Function - Ordinary Least Square(OLS), Gradient Descent- Assumptions of Linear Regression, Dummy Variable- Multiple Linear Regression- Regression Model Performance - R-Square- Polynomial Linear RegressionChapter - Supervised Learning: Classification- Logistic Regression- K-Nearest Neighbours- Naive Bayes- Saving and Loading ML Models- Classification Model Performance - Confusion MatrixChapter: UnSupervised Learning: Clustering- Partitionaing Algorithm: K-Means Algorithm, Random Initialization Trap, Elbow Method- Hierarchical Clustering: Agglomerative, Dendogram- Density Based Clustering: DBSCAN- Measuring UnSupervised Clusters Performace - Silhouette IndexChapter: UnSupervised Learning: Association R
Embark on a comprehensive journey into the world of artificial intelligence with "Learn AI - The Ultimate A-Z Guide." This course is designed to empower you with the skills and knowledge to apply AI in various aspects of life, whether you're a beginner or have prior experience. Each section offers detailed insights and practical applications tailored to enhance your proficiency and creativity with AI.Section 1: AI for Birthdays & PresentsDiscover innovative ways to use AI for creating personalized birthday experiences and gifts. Learn to harness ChatGPT for unique gift ideas tailored to individual preferences, and delve into generating custom images using AI tools. Explore the practical side of bringing digital creations to life through Printify and understand the process of converting text descriptions into 3D models. This section also covers the intricacies of 3D printing, guiding you through each step to produce tangible models from your AI-generated designs. Additionally, learn about 3D scanning technologies, utilizing AI to capture and enhance real-world objects digitally.Section 2: AI for Health & FitnessTransform your health and fitness journey with AI-driven solutions that cater to your personal needs. This section explores using AI to craft tailored workout and meal plans, ensuring they align with your fitness goals and dietary preferences. Discover how AI can enhance your gym experience, from optimizing equipment usage to analyzing your form. Learn to create and import workout playlists using AI, making your fitness routine more engaging. Explore the applications of AI in grocery shopping, helping you make healthier choices, and delve into the realm of mental health with AI.Section 3: ChatGPT FeaturesUnlock the full potential of ChatGPT by mastering its diverse features. This section provides an in-depth exploration of custom GPTs, teaching you how to tailor them for s
Data science is the study of data. It involves developing methods of recording, storing, and analyzing data to effectively extract useful information . Data is a fundamental part of our everyday work, whether it be in the form of valuable insights about our customers, or information to guide product,policy or systems development. Big business, social media, finance and the public sector all rely on data scientists to analyse their data and draw out business-boosting insights.Python is a dynamic modern object -oriented programming language that is easy to learn and can be used to do a lot of things both big and small. Python is what is referred to as a high level language. That means it is a language that is closer to humans than computer.It is also known as a general purpose programming language due to it's flexibility. Python is used a lot in data science. Machine learning relates to many different ideas, programming languages, frameworks. Machine learning is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules or algorithms and learn about new things, on its own. In this course, we'll explore some basic machine learning concepts and load data to make predictions.We will also be using SQL to interact with data inside a PostgreSQL Database.What you'll learnUnderstand Data Science Life CycleUse Kaggle Data SetsPerform Probability SamplingExplore and use Tabular DataExplore Pandas DataFrameManipulate Pandas DataFramePerform Data CleaningPerform Data VisualizationVisualize Qualitative DataExplore Machine Learning FrameworksUnderstand Supervised Machine LearningUse machine learning to predict value of a houseUse Scikit-LearnLoad datasets</p
“This course contains the use of artificial intelligence.”Você tem curiosidade sobre Inteligência Artificial (IA), mas se sente perdido com tantos termos técnicos? Este curso para iniciantes é uma introdução clara e passo a passo à IA e aos Large Language Models (LLMs) . Em apenas uma hora , você aprenderá a história, a evolução e o uso prático das ferramentas de IA mais poderosas da atualidade, como ChatGPT, Gemini, Claude, além de modelos de código aberto como Llama, Mistral, DeepSeek e DBRX .Começamos com as origens da IA , desde ELIZA e os primeiros chatbots até redes neurais e Deep Learning. Em seguida, explicamos a revolução dos Transformers e o famoso artigo "Attention Is All You Need" , que transformou a IA para sempre. Você também descobrirá como os LLMs funcionam — tokens, treinamento, ajuste fino, janelas de contexto e RAG — explicados em uma linguagem simples e amigável para iniciantes.Em seguida, você explorará o cenário atual da IA , comparando GPT-4o, Gemini, Claude e os principais modelos de código aberto. Você aprenderá uma estrutura rápida para escolher o modelo certo para escrita, pesquisa, codificação, criatividade ou tarefas empresariais.Por fim, abordamos habilidades práticas essenciais :Noções básicas de engenharia de prompts – como escrever prompts melhores para obter resultados mais consistentes.Segurança, ética e uso responsável da IA – evite erros, proteja a privacidade e crie confiança nos resultados da IA.Ao final deste curso, você: - Explicará os fundamentos de IA e LLM com confiança. - Comparará os pontos fortes e fracos dos principais modelos. - Escreverá melhores prompts usando técnicas comprovadas. - Aplicará IA de fo
Practice questions to prepare for Generative AI LLMs Associate (NCA-GENL)!This certification is designed to validate foundational knowledge and practical skills in working with large language models (LLMs) and generative AI. This certification is ideal for professionals aiming to develop expertise in deploying and managing LLM-based solutions. Key focus areas include understanding transformer-based architectures, prompt engineering techniques for guiding model responses, and leveraging modern pretrained models to solve a range of natural language processing (NLP) tasks, such as text generation, token classification, and sentiment analysis. The certification covers best practices for working with human-labeled data and strategies for optimizing models for specific applications. This certification is ideal for those looking to strengthen their understanding of generative AI and advanced technologies within the rapidly evolving AI landscape.About the coursePrepare yourself for success in the Generative AI LLMs certification with this comprehensive mock exam course. This course is specifically designed to help you master the key concepts and skills needed to excel in the rapidly growing field of Generative AI, focusing on Large Language Models (LLMs).This course features six carefully crafted mock exams that closely mirror the format, difficulty, and scope of the actual certification exam. Each mock exam contains a diverse set of questions that test your knowledge on various topics, including the fundamentals of Generative AI, architecture and deployment of LLMs, model training and fine-tuning, ethical considerations, and specific tools and platforms for AI development.What sets this course apart is the detailed explanations provided for each question. After completing each exam, you will not only see which answers you got right or wrong but also receive in-depth explanations that clarify why certain answers are correct. This approach
This course is diving into Generative AI State-Of-Art Scientific Challenges. It helps to uncover ongoing problems and develop or customize your Own Large Models Applications. Course mainly is suitable for any candidates(students, engineers,experts) that have great motivation to Large Language Models with Todays-Ongoing Challenges as well as their deeployment with Python Based and Javascript Web Applications, as well as with C/C++ Programming Languages. Candidates will have deep knowledge on TensorFlow , Pytorch, Keras models, HuggingFace with Docker Service. In addition, one will be able to optimize and quantize TensorRT frameworks for deployment in variety of sectors. Moreover, They will learn deployment of LLM quantized model to Web Pages developed with React, Javascript and FLASKHere you will also learn how to integrate Reinforcement Learning(PPO) to Large Language Model, in order to fine them with Human Feedback based. Candidates will learn how to code and debug in C/C++ Programming languages at least in intermediate level.LLM Models used: The Falcon, LLAMA2, BLOOM, MPT, Vicuna,FLAN-T5, GPT2/GPT3, GPT NEOXBERT 101, Distil BERTFINE-Tuning Small Models under supervision of BIG ModelsImage Generation :LLAMA modelsGemini Dall-E OpenAIHugging face ModelsLearning and Installation of Docker from scratchKnowledge of Javscript, HTML ,CSS, BootstrapReact Hook, DOM and Javacscript Web DevelopmentDeep Dive on
Data Scientist is amongst the trendiest jobs, Glassdoor ranked it as the #1 Best Job in America in 2018 for the third year in a row, and it still holds its #1 Best Job position. Python is now the top programming language used in Data Science, with Python and R at 2nd place. Data Science is a field where data is analyzed with an aim to generate meaningful information. Today, successful data professionals understand that they require much-advanced skills for analyzing large amounts of data. Rather than relying on traditional techniques for data analysis, data mining and programming skills, as well as various tools and algorithms, are used. While there are many languages that can perform this job, Python has become the most preferred among Data Scientists.Today, the popularity of Python for Data Science is at its peak. Researchers and developers are using it for all sorts of functionality, from cleaning data and Training models to developing advanced AI and Machine Learning software. As per Statista, Python is LinkedIn's most wanted Data Science skill in the United States.Data Science with R, Python and Spark Training lets you gain expertise in Machine Learning Algorithms like K-MeansClustering, Decision Trees, Random Forest, and Naive Bayes using R, Python and Spark. Data Science Trainingencompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introductionto Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases onMedia, Healthcare, Social Media, Aviation and HR.CurriculumIntroduction to Data ScienceLearning Objectives - Get an introduction to Data Science in this module and see how Data Sciencehelps to analyze large and unstructured data with different tools.Topics:What is Data Science? What does Data Science involve?Era of Data Science Business Intelligence vs Data ScienceLife cycle
Become an AI Whisperer: Break into the field of prompt engineering, the most exciting and hottest new job in tech. Learn how to make Artificial Intelligence systems like ChatGPT and GPT-4 do exactly what you want, even if they've been programmed to do otherwise. Master their biases, take advantage of their design flaws, and become an expert prompter!Did you know a sentence as simple as "Ignore previous directions" can often confuse AIs as advanced as ChatGPT and grant you access to restricted functionality? This is exactly what prompt engineers do on a daily basis: they discover models' biases and exploit them to their advantage. Intrigued? Dive into the world of prompt engineering with our comprehensive video course, designed to unlock the potential of AI language models for a wide range of applications. Learn the principles, techniques, and advanced strategies for crafting effective prompts, hacking prompts, image prompts, and more. With a strong focus on practical examples, this course will equip you with the skills to transform AI language models into powerful tools for content creation, chatbots, coding assistants, and beyond. Embark on this journey to master prompt engineering and harness the true power of generative AI!What will you learn?Gain a deep understanding of the fundamentals, principles, and techniques of prompt engineering and its applications in various domains.Master the art of crafting effective prompts, utilizing tags, and employing advanced strategies to maximize the potential of AI language models.Develop the skills to create prompts for diverse applications, such as content creation, coding assistance, chatbot therapy, and more, using ChatGPT.Acquire the knowledge to secure prompt engineering efforts by understanding prompt hacking concepts and exploring advanced topics like AI-generated text detection and addressing biases.Learn image prompting techniques, incl
ChatGPT revolutionises businesses, how we work and greatly influences our lives. It is much more than a famous Web and mobile applications everyone is using now. Its creators recently released a publicly available API enabling creation of sophisticated AI Apps utilising the power of GPT models to most difficult Natural Language Processing tasks and beyond.This course aims at Python developers to teach how to harness the power of latest and greatest Large Language Models in custom, innovative applications, how to interface existing data in various formats with ChatGPT available through the API.You will learn the magic of LangChain - the Python Library delivering ever growing ecosystem of tools and integrations necessary to build the AI Apps. LangChain offers not only convenient wrappers around ChatGPT model APIs, but has plenty of ready-made classes and functions facilitating creation and use of Chat Memory, Vector DBs for semantic search of relevant documents, and blueprints of powerful Agents, capable of using Python functions in your environment to get access to local, proprietary data.The course is very practical and consists of dozens of practical demonstrations of Python code solving various AI tasks. You will get detailed, precise and in-depth explanation of all presented concepts and algorithms.All of the code used in the course is available for your download from GitHub repository. You can use it as a basis to further exploration and experimentation leading to quick and easy development of real-life AI Apps.
In this course, you will dive deep into the world of Generative AI with LLMs (Large Language Models), exploring the potential of combining LangChain with Python. You will implement proprietary solutions (like ChatGPT) and modern open-source models like Llama and Phi. Through practical, real-world projects, you'll develop innovative applications, including a custom virtual assistant and a chatbot that interacts with documents and videos. We'll explore advanced techniques such as RAG and agents, and use tools like Streamlit to create intuitive interfaces. You'll learn how to use these technologies for free in Google Colab and also how to run projects locally.In the introduction, you’ll be introduced to the theory of Large Language Models (LLMs) and their fundamental concepts. Additionally, we’ll explore the Hugging Face ecosystem, which offers modern solutions for Natural Language Processing (NLP). You'll learn to implement LLMs using both the Hugging Face pipeline and the LangChain library, understanding the advantages of each approach.The second part is focused on mastering LangChain. You'll learn to access open-source models, like Meta's Llama and Microsoft’s Phi, as well as proprietary LLMs, like OpenAI's ChatGPT. We'll explain model quantization to enhance performance and scalability. Key LangChain components, such as chains, templates, and tools, will be presented, along with how to use them to develop robust NLP solutions. Prompt engineering techniques will be covered to help you achieve more accurate results. The concept of RAG (Retrieval-Augmented Generation) will be explored, including information storage and retrieval processes. You’ll learn to implement vector stores and understand the importance of embeddings and how to use them effectively. We’ll also demonstrate how to use RAG to interact with PDF documents and web pages. Additionally, you'll have the opportunity to explore integrating agents and tools, like using LLMs to perform web searches and retrie
Have you ever thought about how Large Language Models (LLMs) are transforming the world and creating unprecedented opportunities?"AI won't take your job, but someone who knows how to use AI might," says Richard Baldwin.Are you ready to master the intricacies of LLMs and leverage their full potential for various applications, from data analysis to the creation of chatbots and AI agents?Then this course is for you!Dive into 'LLM Mastery: ChatGPT, Gemini, Claude, Llama, OpenAI & APIs'—where you will explore the fundamental and advanced concepts of LLMs, their architectures, and practical applications. Transform your understanding and skills to lead in the AI revolution.This course is perfect for developers, data scientists, AI enthusiasts, and anyone who wants to be at the forefront of LLM technology. Whether you want to understand neural networks, fine-tune AI models, or develop AI-driven applications, this course offers everything you need.What to expect in this course:Comprehensive Knowledge of LLMs:Understanding LLMs: Learn about parameters, weights, inference, and neural networks.Neural Networks: Understand how neural networks function with tokens in LLMs.Transformer Architecture: Explore the Transformer architecture and Mixture of Experts.Fine-Tuning: Understand the fine-tuning process and the development of the Assistant model.Reinforcement Learning (RLHF): Dive into reinforcement learning with human feedback.Advanced Techniques and Future Trends:Scaling Laws: Learn about the scaling laws of LLMs, including GPU and data improvements.Future of LLMs: Discover the capabilities and future development
Do you want to become an AWS Machine Learning Engineer Using SageMaker in 30 days?Do you want to build super-powerful production-level Machine Learning (ML) applications in AWS but don’t know where to start?Are you an absolute beginner and want to break into AI, ML, and Cloud Computing and looking for a course that includes everything you need?Are you an aspiring entrepreneur who wants to maximize business revenues and reduce costs with ML but don’t know how to get there quickly and efficiently?Do you want to leverage ChatGPT as a programmer to automate your coding tasks?If the answer is yes to any of these questions, then this course is for you!Machine Learning is the future one of the top tech fields to be in right now! ML and AI will change our lives in the same way electricity did 100 years ago. ML is widely adopted in Finance, banking, healthcare, transportation, and technology. The field is exploding with opportunities and career prospectsAWS is the one of the most widely used cloud computing platforms in the world and several companies depend on AWS for their cloud computing purposes. AWS SageMaker is a fully managed service offered by AWS that allows data scientist and AI practitioners to train, test, and deploy AI/ML models quickly and efficiently.This course is unique and exceptional in many ways, it includes several practice opportunities, quizzes, and final capstone projects. In this course, students will learn how to create production-level ML models using AWS. The course is divided into 8 main sections as follows:Section 1 (Days 1 – 3): we will learn the following: (1) Start with an AWS and Machine Learning essentials “starter pack” that includes key AWS services such as Simple Storage Service (S3), Elastic Compute Cloud (EC2), Identity and Access Management (IAM) an
Welcome to "Machine Learning and Data Science with LangChain and LLMs"! This comprehensive course is designed to equip you with the skills and knowledge needed to harness the power of LangChain and Large Language Models (LLMs) for advanced data science and machine learning tasks.In today’s data-driven world, the ability to process, analyze, and extract insights from large volumes of data is crucial. Language models like GPT have transformed how we interact with and utilize data, allowing for more sophisticated natural language processing (NLP) and machine learning applications. LangChain is an innovative framework that enables you to build applications around these powerful LLMs. This course dives deep into the integration of LLMs within the data science workflow, offering hands-on experience with real-world projects.What You Will Learn?Throughout this course, you will gain a thorough understanding of how LangChain can be utilized in various data science applications, along with the practical knowledge of how to apply LLMs in different scenarios. Starting with the basics of machine learning and data science, we gradually explore the core concepts of LLMs and how LangChain can enhance data-driven solutions.Key Learning Areas:1. Introduction to Machine Learning and Data Science: Begin your journey by understanding the core principles of machine learning and data science, including the types of data, preprocessing techniques, and model-building strategies.2. Exploring Large Language Models (LLMs): Learn what LLMs are, how they function, and their applications in various domains. This section covers the latest advancements in language models, including their architecture and capabilities in text generation, classification, and more.3. LangChain Fundamentals: Discover the potential of LangChain as a tool for
Are you looking to master Data Science,Machine Learning (ML), Deep Learning(DL) and Natural Language Processing (NLP) from the ground up? This comprehensive course is designed to take you on a journey from understanding the basics to mastering advanced concepts, all while providing practical insights and hands-on experience.What You'll Learn:Foundational Concepts: Start with the basics of ML and NLP, including algorithms, models, and techniques used in these fields. Understand the core principles that drive machine learning and natural language processing.Advanced Topics: Dive deeper into advanced topics such as deep learning, reinforcement learning, and transformer models. Learn how to apply these concepts to build more complex and powerful models.Practical Applications: Gain practical experience by working on real-world projects and case studies. Apply your knowledge to solve problems in various domains, including healthcare, finance, and e-commerce.Mathematical Foundations: Develop a strong mathematical foundation by learning the math behind ML and NLP algorithms. Understand concepts such as linear algebra, calculus, and probability theory.Industry-standard Tools: Familiarize yourself with industry-standard tools and libraries used in ML and NLP, including TensorFlow, PyTorch, and scikit-learn. Learn how to use these tools to build and deploy models.Optimization Techniques: Learn how to optimize ML and NLP models for better performance and efficiency. Understand techniques such as hyperparameter tuning, model selection, and model evaluation.Who Is This Course For:This course is suitable for anyone interested in learning machine learning and natural language processing, from beginners to advanced learners. Whether you're a student, a professional look
Ready for an electrifying plunge into the universe of language technology? Prepare to enter the thrilling realm of LangChain with "LangChain 101 for Beginners (OpenAI / ChatGPT / LLMOps)", where you'll be taught how to harness the power of LangChain and Large Language Models (LLMs) to build your very own Python applications.Our aim for this course is simple - to equip you with everything you need to embark on your LangChain adventure. You'll be walked through using different LLMs from industry giants OpenAI and HuggingFace, understand the magic of calling prompts, creating templates, and chaining these prompts together to create a robust, interactive system.But that's not all! We’ll dive into the heart of conversational chatbots and explore how memory works within LangChain. We'll wrap things up with a detailed tutorial on how you can apply these impressive LLMs to your own documents.This course isn’t just informative—it’s also seriously fun. Through the use of memes, real-world analogies, and an engaging, down-to-earth approach, we've designed this course to be an enjoyable journey into the world of LangChain.Say goodbye to those long, never-ending courses that are all fluff and no substance. This course is compact, to-the-point, and perfect for Python developers looking for a fast-track introduction to LangChain and LLMs. We know your time is precious, so we've packed all the essential information into one power-packed hour."LangChain 101 for Beginners" is your golden ticket to understanding and implementing LangChain. By the end of this course, you'll not only have a comprehensive understanding of LangChain, but also be ready to dive headfirst into your next project with a newfound arsenal of skills and knowledge.Don't wait—let's start scripting the future, together. Let’s dive into the incredible world of LangChain and Large Language Models, and have some fun along the way!
A comprehensive, free video course on YouTube that covers the essential Python libraries for data analysis and visualization, perfect for learning EDA.
Welcome to a game-changing learning experience with "ChatGPT for Deep Learning using Python Keras and TensorFlow". This unique course combines the power of ChatGPT with the technical depth of Python, Keras, and TensorFlow to offer you an innovative approach to tackling complex Deep Learning projects. Whether you're a beginner or a seasoned Data Scientist, this course will significantly enhance your skill set, making you more proficient and efficient in your work.Why This Course?Deep learning and Artificial Intelligence are revolutionizing industries across the globe, but mastering these technologies often requires a significant time investment (for theory and coding). This course cuts through the complexity, leveraging ChatGPT to simplify the learning curve and expedite your project execution. You'll learn how to harness the capabilities of AI to streamline tasks from data processing to complex model training, all without needing exhaustive prior knowledge of the underlying mathematics and Python code.Comprehensive Learning ObjectivesBy the end of this course, you will be able to apply the most promising ChatGPT prompting strategies and techniques in real-world scenarios:ChatGPT Integration: Utilize ChatGPT effectively to automate and enhance various stages of your Data Science projects, including coding, model development, and result analysis.Data Management: Master techniques for loading, cleaning, and visualizing data using Python libraries like Pandas, Matplotlib, and Seaborn.Deep Learning Modeling: Gain hands-on experience in constructing and fine-tuning Neural Networks for tasks such as Image Recognition with CNNs, Time Series prediction with RNNs and LSTMs, and classification and regression with Feedforward Neural Networks (FNN), using ChatGPT as your assistant.<strong
Welcome to Building Generative AI Projects with LLM, Langchain, GAN course. This is a comprehensive project based course where you will learn how to develop advanced AI applications using Large Language Models, integrate workflow using Langchain, and generate images using Generative Adversarial Networks. This course is a perfect combination between Python and artificial intelligence, making it an ideal opportunity to practice your programming skills while improving your technical knowledge in generative AI integration. In the introduction session, you will learn the basic fundamentals of large language models and generative adversarial networks, such as getting to know their use cases and understand how they work. Then, in the next section, you will find and download datasets from Kaggle, it is a platform that offers a diverse collection of datasets. Afterward, you will also explore Hugging Face, it is a place where you can access a wide range of ready to use pre-trained models for various AI applications. Once everything is ready, we will start building the AI projects. In the first section, we are going to build a legal document analyzer, where users can upload a PDF file, and AI will extract key information, summarize complex legal texts, and highlight important clauses for quick review. Next, we will develop an Excel data analyzer, enabling users to upload spreadsheets and leverage AI to identify trends, generate insights, and automate data analysis processes. Then after that, we will create an AI short story generator, where users can generate creative and engaging narratives based on simple prompts, making it a useful tool for writers and content creators. Following that, we will build an AI code generator, where users can input natural language descriptions, and AI will generate structured, functional code snippets, streamlining the coding process. In the next section, we will develop a Q&A customer support chatbot, capable of answering common inquiries b
Do not take this course if you are an ML beginner. This course is designed for those who are interested in pure coding and want to fine-tune LLMs instead of focusing on prompt engineering. Otherwise, you may find it difficult to understand.Welcome to "Mastering Transformer Models and LLM Fine Tuning", a comprehensive and practical course designed for all levels, from beginners to advanced practitioners in Natural Language Processing (NLP). This course delves deep into the world of Transformer models, fine-tuning techniques, and knowledge distillation, with a special focus on popular BERT variants like Phi2, LLAMA, T5, BERT, DistilBERT, MobileBERT, and TinyBERT.Course Overview:Section 1: IntroductionGet an overview of the course and understand the learning outcomes.Introduction to the resources and code files you will need throughout the course.Section 2: Understanding Transformers with Hugging FaceLearn the fundamentals of Hugging Face Transformers.Explore Hugging Face pipelines, checkpoints, models, and datasets.Gain insights into Hugging Face Spaces and Auto-Classes for seamless model management.Section 3: Core Concepts of Transformers and LLMsDelve into the architectures and key concepts behind Transformers.Understand the applications of Transformers in various NLP tasks.Introduction to transfer learning with Transformers.Section 4: BERT Architecture Deep DiveDetailed exploration of BERT's architecture and its importance in context understanding.Learn about Masked Language Modeling (MLM) and Next Sentence Prediction (NSP) in BERT.Understand BERT fine-tuning and evaluation techniques.Section 5: Practical Fine-Tuning with BERT</strong
Welcome to the era of Artificial Intelligence, where everything is rapidly evolving. In this dynamic era, it's crucial to enhance your skills by acquiring the most essential, cutting-edge knowledge that is currently in high demand in the market: Artificial Intelligence. This course takes you on a comprehensive learning journey, delving into the most advanced concepts in AI, such asComputer VisionGenerative A.IRNNVariational AutoencoderPytorch With Python and C++Numpy and PandasAnd lot of more things..There are numerous cutting-edge concepts in high demand at the moment. I am formerly engaged in the Trustline security limited organization, where we harness real-world experience to create resilient AI solutions. I leverage this experience to instruct you on crafting advanced, industry-ready, robust A.I.In this course, we embark on a journey to develop AI across various domains, including stock market analysis, human face generation, image classification, and more. This course not only reinforces your programming and mathematical fundamentals but also equips you to build AI solutions in two distinct languages: Python and C++. This proficiency in both languages is a rare and valuable asset in the deep learning space.Furthermore, we explore best practices that enable the systematic creation of AI solutions. We delve into the theory of MLOPS (Machine Learning Operations), enhancing your capabilities and making your talents shine brightly in the competitive AI market.We also explore how Chat GPT LLM can enhance and expedite our AI development in the realm of Data Science. This section is particularly engaging, as Chat GPT serves as a valuable assistant in addressing repetitive and logic-free tasks, making our AI journey even more exciting and efficient.At the
Learn Deep Learning from scratch. It is the extension of a Machine Learning, this course is for beginner who wants to learn the fundamental of deep learning and artificial intelligence. The course includes video explanation with introductions (basics), detailed theory and graphical explanations. Some daily life projects have been solved by using Python programming. Downloadable files of ebooks and Python codes have been attached to all the sections. The lectures are appealing, fancy and fast. They take less time to walk you through the whole content. Each and every topic has been taught extensively in depth to cover all the possible areas to understand the concept in most possible easy way. It's highly recommended for the students who don’t know the fundamental of machine learning studying at college and university level.The main goal of publishing this course is to explain the deep learning and artificial intelligence in a very simple and easy way. All the codes have been conducted through colab which is an online editor. Python remains a popular choice among numerous companies and organization. Python has a reputation as a beginner-friendly language, replacing Java as the most widely used introductory language because it handles much of the complexity for the user, allowing beginners to focus on fully grasping programming concepts rather than minute details. Below is the list of different topics covered in Deep Learning:Introduction to Deep LearningArtificial Neural Network vs Biological Neural NetworkActivation FunctionsTypes of Activation functionsArtificial Neural Network (ANN) modelComplex ANN model Forward ANN modelBackward ANN modelPython project of ANN model<strong
Master the End-to-End Machine Learning Process with Python, Mathematics, and Projects — No Prior Experience NeededThis course is not just another introductory tutorial. It is a complete and intensive roadmap, carefully crafted for beginners who want to become confident and capable Machine Learning practitioners. Whether you're a student, a job-seeker, or a working professional looking to transition into AI/ML, this course equips you with the core skills, hands-on experience, and deep understanding needed to thrive in today’s data-driven world.Why This Course Is DifferentThis masterclass solves both problems by following a clear, layered, and project-oriented curriculum that blends coding, theory, and practical intuition — so you not only know what to do, but why you're doing it.You’ll go step-by-step from foundational Python to building real ML models and deploying them in real-world workflows — even touching advanced topics like ensemble models, hyperparameter tuning, regularization, and generative AI.What You’ll Learn — Inside the Masterclass#______Foundations of Machine Learning and Artificial IntelligenceWhat is ML, how it differs from AI and Deep Learning.Key ML model types: Regression, Classification, Clustering.Understanding AI applications, Gen AI, and the future of intelligent systems.Knowledge checks to reinforce conceptual understanding.#______Python Programming from Scratch – for Absolute BeginnersStarting with variables, data types, conditionals, loops, and functions.Data structures: Lists, Sets, Tuples, Dictionaries with hands-on labs.Object-oriented programming, API requests, and web scraping with BeautifulSoup.Reading and writing real-world datasets using pandas.<
Träumst du davon...die Möglichkeiten von KI-Tools wie ChatGPT, Claude, Gemini und Neuroflash voll auszuschöpfen, um produktiver und kreativer zu arbeiten?mit präzisen Prompts die besten Ergebnisse aus generativer KI herauszuholen und deinen Workflow zu optimieren?Prompts zu erstellen, die für verschiedene Anwendungen wie Content-Erstellung, Produktivität, Marketing oder Automatisierung maßgeschneidert sind?deine Fähigkeiten im Umgang mit Large Language Models (LLM) zu erweitern, um innovative Lösungen für persönliche und berufliche Herausforderungen zu entwickeln?Dann ist dieser Kurs „Prompt Engineering für KI: ChatGPT, Claude, Gemini und LLM“ genau das Richtige für dich! Von der Einführung in die grundlegenden Funktionen bis hin zu fortgeschrittenen Strategien zeigt dir dieser Kurs, wie du die volle Leistung moderner KI-Tools nutzen kannst. Lerne, wie du mit gezielten Prompts Ergebnisse erzielst, deine Arbeitsprozesse vereinfachst und sogar neue kreative Ansätze entwickelst. Entdecke, wie generative KI nicht nur deine Projekte voranbringt, sondern auch eine neue Dimension von Effizienz und Innovation eröffnet.Was du lernen wirst:Einführung in ChatGPT, Gemini und Claude: Du erhältst eine Einführung in die führenden KI-Tools ChatGPT, Google Gemini und Claude. Der Kurs zeigt dir, wie du einen kostenlosen Account erstellst, dich mit den Benutzeroberflächen vertraut machst und erste Prompts eingibst. Außerdem erfährst du, wie du mit jedem Tool gezielt arbeiten kannst, unabhängig von deiner bisherigen Erfahrung.Erste Prompts bei LLM's eingeben: Lerne, wie du effektive Prompts formulierst, die dir präzise und hilfreiche Ergebnisse liefern. Du erfährst, wie du B
Extremely Hands-On... Incredibly Practical... Unbelievably Real!This is not one of those fluffy classes where everything works out just the way it should and your training is smooth sailing. This course throws you into the deep end.In this course you WILL experience firsthand all of the PAIN a Data Scientist goes through on a daily basis. Corrupt data, anomalies, irregularities - you name it!This course will give you a full overview of the Data Science journey. Upon completing this course you will know:How to clean and prepare your data for analysisHow to perform basic visualisation of your dataHow to model your dataHow to curve-fit your dataAnd finally, how to present your findings and wow the audienceThis course will give you so much practical exercises that real world will seem like a piece of cake when you graduate this class. This course has homework exercises that are so thought provoking and challenging that you will want to cry... But you won't give up! You will crush it. In this course you will develop a good understanding of the following tools:SQLSSISTableauGretlThis course has pre-planned pathways. Using these pathways you can navigate the course and combine sections into YOUR OWN journey that will get you the skills that YOU need.Or you can do the whole course and set yourself up for an incredible career in Data Science.The choice is yours. Join the class and start learning today!See you inside,Sincerely,Kirill Eremenko
Course DetailsPrompt Engineering is the skill that will be required to stay on the job in the future because automation using AI tools is increasing day by day and it is creating new job roles called Prompt Engineers.You know that automation replaces workers and this will be the future. But some intervention is always needed so Prompt Engineers will be the first persons who will be preferred over others and this is about the prompting skills not only the job skills or knowledge. Of course, skills and knowledge are an important part but you would need to have prompting skills along with knowledge and job skills.Being a content creator, I have spent long hours testing and creating new prompts that I believe are super useful for everyone. So, if you want to learn Prompt Engineering then this course is for you.In this course, you will find all the important prompting techniques and the answers to common questions you might have in your mind about prompt engineering. Also, if you don't find the answer then you can message me anytime.Also, you will get these things in the course:1. List of 70,000+ prompts that you can easily copy and paste2. Structure to create a Perfect Prompt3. A list of 38 AI Tools4. Access to questions and answers forum, where you can post your prompt engineering questions or anytime5. You can also ask questions about ChatGPT not only about Prompt Engineering6. You will get a project file that is very handy to recall all the prompting techniques discussed in the course7. You will be notified first when any new content is added to the courseA brief overview of the Prompts List:64 Prompts to do Copywriting 55 Prompts to do Email Copywriting</
Prompting Playbook & Frameworks — Write Prompts That Deliver Business-Ready Results (ChatGPT, Gemini, Copilot, Perplexity)Short, practical, web-based.Learn the exact frameworks that turn vague asks into clear, reliable outputs across ChatGPT, Google Gemini, Microsoft Copilot (Web), and Perplexity.No agents. No coding. Just prompts that work.Why this course now?AI is already part of everyday work.Meeting notes, status updates, proposals, personas, job descriptions, variance commentary—tasks that used to take hours can now take minutes.But there’s a catch.A basic prompt will give you random, inconsistent responses.A well-structured, well-scoped prompt produces accurate, predictable, decision-ready results.This course gives you the playbook for writing those prompts—fast.What you’ll learnHow to structure any request with R-C-I-E-S so the model understands exactly what to do.How to iterate once or twice with the Draft → Critique → Revise loop and a simple rubric to lift quality without wasting time.How to shape prompts with TCR (Task–Context–Rules), plus variables and checklists that you can reuse anywhere.How to decompose work into a Chain of Tasks when a single prompt is too vague—no agents required.How to ask for bullet caps, word caps, evidence lines, and tables so your outputs are tidy, scannable, and executive-ready.How to apply verification habits (no new numbers, assumptions to verify, objections to test) so stakeholders trust the output.No coding. No installs. Web LLMs only.<p
Transformer models are the de-facto standard in modern NLP. They have proven themselves as the most expressive, powerful models for language by a large margin, beating all major language-based benchmarks time and time again.In this course, we cover everything you need to get started with building cutting-edge performance NLP applications using transformer models like Google AI's BERT, or Facebook AI's DPR.We cover several key NLP frameworks including:HuggingFace's TransformersTensorFlow 2PyTorchspaCyNLTKFlairAnd learn how to apply transformers to some of the most popular NLP use-cases:Language classification/sentiment analysisNamed entity recognition (NER)Question and AnsweringSimilarity/comparative learningThroughout each of these use-cases we work through a variety of examples to ensure that what, how, and why transformers are so important. Alongside these sections we also work through two full-size NLP projects, one for sentiment analysis of financial Reddit data, and another covering a fully-fledged open domain question-answering application.All of this is supported by several other sections that encourage us to learn how to better design, implement, and measure the performance of our models, such as:History of NLP and where transformers come fromCommon preprocessing techniques for NLPThe theory behind transformersHow to fine-tune transformersWe cover all this and more, I look forward to seeing you in the course!
Machine Learning Real value comes from actually deploying a machine learning solution into production and the necessary monitoring and optimization work that comes after it.Most of the problems nowadays as I have made a machine-learning model but what next.How it is available to the end-user, the answer is through API, but how it works?How you can understand where the Docker stands and how to monitor the build we created.This course has been designed to keep these areas under consideration. The combination of industry-standard build pipeline with some of the most common and important tools.This course has been designed into Following sections:1) Configure and a quick walkthrough of each of the tools and technologies we used in this course.2) Building our NLP Machine Learning model and tune the hyperparameters.3) Creating flask API and running the WebAPI in our Browser.4) Creating the Docker file, build our image and running our ML Model in Docker container.5) Configure GitLab and push your code in GitLab.6) Configure Jenkins and write Jenkins's file and run end-to-end Integration.This course is perfect for you to have a taste of industry-standard Data Science and deploying in the local server. Hope you enjoy the course as I enjoyed making it.
Willkommen zum ChatGPT-Kurs, der Ihnen alles beibringt, was Sie über die effektive Nutzung von ChatGPT wissen müssen! Dieser Kurs wurde entwickelt, um Ihnen die notwendigen Fähigkeiten zu vermitteln, um ChatGPT optimal zu nutzen, sei es für persönliche Projekte, berufliche Anwendungen oder kreative Ideen.Kursübersicht:Einführung in ChatGPTVerständnis der Grundlagen: Wie funktioniert ChatGPT?Überblick über die Anwendungsbereiche von ChatGPT in verschiedenen Branchen.Praktische AnwendungsfälleSchreiben von Texten: Tipps und Tricks zur Verbesserung der Textqualität.Kreative Anwendungen: Generierung von Ideen, Geschichten und mehr.Anpassung und FeinabstimmungPersonalisierung von ChatGPT für Ihre speziellen Bedürfnisse.Feinabstimmung von Modellen für branchenspezifische Anforderungen.Integration von ChatGPT in ProjekteEinbindung von ChatGPT in Ihre Arbeitswelt.Best Practices für die nahtlose Anwendung.Effiziente Kommunikation mit ChatGPTRichtiges Formulieren von Anfragen: Maximierung der Antwortqualität.Umgang mit Einschränkungen und Herausforderungen.Ethik und Verantwortung in der Nutzung von ChatGPTSensibilisierung für mögliche Bias-Probleme.Verantwortungsbewusster Einsatz von KI-Technologien.Aktuelle Entwicklungen und ZukunftsaussichtenEinblick in die neuesten Updates und Funktionen von ChatGPT.Ausblick auf zukünftige Entwicklungen in der Welt der KI-gesteuerten Kommunikation.Zielgruppe:EntwicklerContent-Ersteller
Bist du daran interessiert, deine Fähigkeiten im Bereich des Prompt Engineerings zu entwickeln? Möchtest du lernen, wie man perfekte Prompts für KI-Tools wie ChatGPT, Midjourney, Leonardo AI und Stable Diffusion erstellt? Dann ist dieser Kurs genau das Richtige für dich!Als Prompt Engineer spielst du eine entscheidende Rolle bei der Optimierung der Leistungsfähigkeit dieser leistungsstarken KI-Tools. In diesem umfassenden Kurs werden wir gemeinsam daran arbeiten, deine Fähigkeiten im Schreiben von Prompts zu perfektionieren.Der Kurs behandelt alle Details zum Prompt Engineering in ChatGPT, Midjourney und Stable Diffusion. Du erhältst eine umfassende Einführung in diese Tools und erfährst, wie sie funktionieren und sich voneinander unterscheiden. Dabei lernst du die verschiedenen Aspekte des Prompt Engineerings kennen und wie du sie auf diese KI-Tools anwendest.Wir werden die Kunst des effektiven Promptings erforschen und lernen, wie man Inputs für optimale Ergebnisse modifiziert. Du wirst lernen, wie man Prompts für spezifische Anwendungsbereiche erstellt, sei es für Content-Erstellung, Social Media, Werbetexte, SEO oder andere Zwecke.Zusätzlich wirst du Einblicke in die Anwendung von Midjourney und Stable Diffusion gewinnen, um generative Kunstwerke zu erstellen. Du lernst die technischen Hintergründe von LLM und Diffusionsmodellen kennen, um das perfekte Prompt Engineering für Midjourney, Stable Diffusion (mit negativen Prompts) und ChatGPT zu beherrschen.Es ist wichtig zu wissen, dass der Prompt Engineer ein eigenes Berufsfeld ist, das von Unternehmen zunehmend geschätzt wird. Tatsächlich sind Unternehmen oft bereit, hohe Summen für gut ausgebildete Prompt Engineers zu zahlen, da sie die Leistungsfähigkeit ihrer KI-Systeme verbessern wollen, wir werden uns ansehen, was du als Prompt Engineer in einer solchen Rolle wikrlich können musst, wenn du das Hauptberuflich machen möchtest.Mit lebenslangem Zugriff auf den Lerninhalt un
This course focuses on using attention models in Natural Language Processing. You will learn how to build models that can focus on specific parts of an input sequence to improve performance on tasks like machine translation and text summarization.
KI-Agenten sind in aller Munde, doch kaum jemand weiß, was sie sind und noch weniger, wie man sie verwendet. Tools wie CrewAI, Autogen, BabyAGI, LangChain, LangGraph usw. klingen komplexer, als sie sind.Bist du bereit, die Feinheiten von KI-Agenten zu meistern und ihr volles Potenzial zur Automatisierung von Prozessen und zum Verkauf maßgeschneiderter Lösungen zu nutzen?Dann ist dieser Kurs für dich!Tauche ein in 'KI-Agenten: Automation & Business durch LangChain Apps'—wo du die grundlegenden und fortgeschrittenen Konzepte von KI-Agenten und LLMs, ihre Architekturen und praktischen Anwendungen erforschen wirst. Verändere dein Verständnis und deine Fähigkeiten, um die Führung in der KI-Revolution zu übernehmen.Dieser Kurs ist perfekt für Entwickler, Datenwissenschaftler, KI-Enthusiasten und alle, die an der Spitze der Technologie von KI-Agenten und LLMs stehen möchten. Egal ob du KI-Agenten erstellen, deren Automatisierung perfektionieren oder maßgeschneiderte Lösungen verkaufen möchtest, dieser Kurs bietet dir das umfassende Wissen und die praktischen Fähigkeiten, die du benötigst.Was dich in diesem Kurs erwartet:Umfassendes Wissen über KI-Agenten und LLMs:Grundlagen von KI-Agenten und LLMs: Einführung in KI-Agenten wie Autogen, Langchain, LangGraph, LangFlow, CrewAI, BabyAGI & deren LLMs (GPT-4o, Claude, Gemini, Llama & mehr).Tools und Techniken: Nutzung von LangChain, LangGraph und anderen Tools zur Erstellung von KI-Agenten.Function Calling und Vektordatenbanken: Verständnis von Function Calling und der Nutzung von Vektordatenbanken sowie Embedding-Modellen.Erstellung und Einsatz von KI-Agenten:Installation und Nutzung von Flowise mit Node: Schritt-für-Schritt-Anleitungen zur Installation und Nutzung von Flowise.Erstellung und Einsatz von KI-Agenten für verschiedene Aufgaben: Entwicklung von kreativen Schreibern, Social-
Part of the Applied Data Science with Python Specialization, this course provides an introduction to text mining and NLP. It covers understanding and manipulating text data in Python, including topic modeling and text classification.
In this course you'll learn about this new way of using LLM Agents: deploying multiple agents to work together as teams to accomplish more complex tasks for you!Everything is taught step by step and the course is fully practical with multiple examples and one complete AI Agents-based App that we build together.One of the things we use to accomplish this is ChatGPT's API so we can use ChatGPT through Python.We also use AutoGen to enable our Agents to work together and communicate with one another (to accomplish tasks with no human intervention).We also provide a few optional sections. One of these sections teaches to have a front-end, using Streamlit, to more easily interact with your AI Agents.Another optional section is for those who want to run AI Agents at scale! Here we show you how to deploy your LLM Agents on Google Cloud, so anyone can use your product.Lastly, one more optional section is available showing how to set up a payment system/subscription model using Stripe for those who want to monetize their AI Agents-based App!Everything is explained simply and in a step-by-step approach. All code shown in the course is also provided.Please not that the OpenAI API is not free, you will need to fund your OpenAI developer account with about $5-10 to follow through with the class and build your own app. We clearly show and explain how to do this and minimize your OpenAI costs during this class.
Este curso contém uso de inteligência artificial.Estamos vivendo a era da Inteligência Artificial Generativa, mas você sabe o que é IA Generativa e Agentes de IA?E o que vem a ser Large Language Models?E Small Language Models?Como o ChatGPT é capaz de fazer tudo que faz?Como estas tecnologias podem impactar seu trabalho e sua vida?Qual é o impacto ético e social destas tecnologias?Como eu posso usar estas tecnologias a meu favor?Como agentes de IA podem aumentar minha produtividade?Estas são algumas das centenas de dúvidas que muitas pessoas têm em relação a era da IA Generativa e Agentes de IA.Eu sei pois como professor e palestrante sobre IA Generativas, recebo muitas perguntas como essas.Neste curso, busco esclarecer, de forma simples e didática, o que são LLMs, o que é Inteligência Artificial Generativa, Agentes de IA e a aplicação prática dessas tecnologias.Mas o curso vai além, o curso também explica os principais termos relacionados, em uma linguagem clara e didática.Outro diferencial deste curso é a prática.O curso apresentará e demostrará diversas ferramentas de Inteligência Artificial Generativa, que você pode usar imediatamente, para criar:TextoImagensVídeosVoz (inclusive como clonar voz)MúsicaConteúdo Misto (apresentações, páginas web, documentos)Relatórios de PesquisaPesquisa AutomatizadaE muito mais!Importante: O curso apresentará diversas ferramentas, mas como um curso introdutório, o objetivo não é mostrar cada detalhe das ferramentas! O curso fará uma demonstração prática, do uso rápido de cada ferramenta, para que você entenda que est
Interested in the field of AI, Data Science, GenAI and Machine Learning? Then this course is for you! This course has been designed by an AI, Data Scientist, and a Machine Learning expert so that i can share my knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.I will walk you step-by-step into the World of AI, Data Scientist, Machine Learning and GenAI. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.This course is fun and exciting, and at the same time, we dive deep into AI, Machine Learning and GenAI. It is structured the following way:Part 1 - Intro Part 2 - AIPart 3 – PythonPart 4 - EDAPart 5 - GenAI ChatbotsPart 6 - GenAI applicationsPart 7 - AI ChatbotsPart 8 - Machine LearningPart 9 - Deep LearningPart 10 - ETL and SQLPart 11 - Anomaly Detection (Predictive Maintenance)Part 12- Web Crawling & ScrapingPart 13 - Image generationPart 14 - Interfaces REST APIPart 15 - AI AgentsPart 16 - Video generationPart 17 - ChatGPT-Data AnalysisPart 18 - ChatGPT-DevelopingPart 19- Pinecone Vector DatabasePart 20 - Web-AppsPart 21 - PDF analysisEach section insid
Unlock the Power of AI with LangChain: Learn to Create Revolutionary Language-Based ApplicationsLooking to harness the full potential of AI and revolutionize the world of language-based applications? Look no further than LangChain, the comprehensive course designed to transform you from a novice to an expert in record time.Gen AI apps and LLM projects! Dive into hands-on projects that will shape your expertise, including:Project 1: Construct a dynamic question-answering application with the unparalleled capabilities of LangChain, OpenAI, and Hugging Face Spaces, Google Gemini Pro .Project 2: Develop an engaging conversational bot using LangChain and OpenAI to deliver an interactive user experience.Project 3: Create an AI-powered app tailored for children, facilitating the discovery of related classes of objects and fostering educational growth.Project 4: Build a captivating marketing campaign app that utilizes the persuasive potential of well-crafted sales copy, boosting sales and brand reach.Project 5: Develop a ChatGPT clone with an added summarization feature, delivering a versatile and invaluable chatbot experience.Project 6: MCQ Quiz Creator App - Seamlessly create multiple-choice quizzes for your students using LangChain and Pinecone.Project 7: CSV Data Analysis Toll - Helps you analyze your CSV file by answering your queries about its data.Project 8: Youtube Script Writing Tool - Effortlessly create compelling YouTube scripts with this user-friendly and efficient script-writing tool.Project 9 - Support Chat Bot For Your Website - Helps your visitors/customers to find the relevant data or blog links that can be useful to them. Project 10 - Automatic Tick
This Complete Prompt Engineering Bootcamp 2025 is your definitive guide to mastering the art and science of working with large language models. Whether you're a developer, content creator, business professional, or AI enthusiast, this course will transform how you interact with AI systems.What Makes This Course Different?Unlike surface-level tutorials, this bootcamp combines real-world AI engineering experience with proven frameworks used in production environments. You'll learn the exact techniques that professional AI engineers use to build reliable, high-performance AI systems.What You'll Master:Foundation to Advanced Prompting: Start with core principles and progress to expert-level techniques including prompt optimization strategies that deliver measurable results.Production Best Practices: Learn debugging techniques, testing frameworks, and how to deploy AI solutions that scale. Discover how to measure success with concrete metrics.Real-World Projects: Apply your skills through hands-on projects that mirror actual industry use cases. Build portfolio pieces that demonstrate your expertise to employers.By the end of this bootcamp, you'll be able to:Design and implement sophisticated prompt strategies for any use caseBuild and deploy AI agents that automate complex workflowsCreate RAG systems that enhance LLM capabilities with custom knowledgeOptimize AI systems for performance, accuracy, and cost-efficiencyDebug and troubleshoot AI applications like a professional engineerWho This Course Is For:Developers wanting to add AI engineering skills to their toolkitAI enthusiasts ready to move beyond basic ChatGPT usageProduct managers who need to understand AI capabilities deeplyContent creat
Are you ready to dive deep into the world of Generative AI with a focus on ChatGPT Plus, and explore the endless possibilities of AI Tools, including DALL-E, Leonardo AI, and more? Do you wish to master the art of Prompt Engineering, leveraging ChatGPT plugins like Instakart and Best ad maker, as well as innovative tools like 11 Labs AI? If yes, then "Generative AI with ChatGPT Plus, Prompt Engineering, and AI Tools" is the transformative course you've been waiting for!Embark on a Groundbreaking Journey into the Future of AIWelcome to "Generative AI with ChatGPT Plus, Prompt Engineering, and AI Tools," a comprehensive course designed to catapult you into the forefront of digital innovation. This program is meticulously engineered for those who are passionate about unlocking the full potential of generative AI, including the latest advancements in ChatGPT 4, DALL-E, Leonardo AI, and beyond. Whether you are an ambitious entrepreneur, a creative genius, or a tech enthusiast, this course offers you the keys to mastering the dynamics of AI to reshape the digital landscape.This course isn't just about learning; it's about transforming your understanding and application of AI in real-world scenarios. From enhancing business strategies with ChatGPT Plus to creating visually stunning designs with DALL-E, and innovating with Leonardo AI, you'll gain hands-on experience that sets you apart in the technology domain.What Awaits You in This Revolutionary ProgramChatGPT Plus Exploration: Dive deep into the functionalities of ChatGPT Plus and learn how to leverage its advanced capabilities for your projects.Pr
The OpenAI API is one of the most exciting advancements in the world of natural language and code processing.Its powerful models and flexible endpoints offer a wealth of possibilities for web developers looking to take their skills to the next level.In this comprehensive course, you will gain a deep understanding of the OpenAI API and its capabilities, along with hands-on experience in building your applications using Node JS, ReactJS, and NextJS.Whether you are a seasoned web developer or just starting, this course has something for everyone.# What You Will Learn :The Completions Endpoint: at the heart of the OpenAI API, the completions endpoint is flexible enough to solve a wide range of language processing tasks, including content generation, summarization, semantic search, and sentiment analysisModels: explore the different models available through the OpenAI API, including the cutting-edge GPT-3 language model, and discover how they can be used to solve unique use casesPrompt Design and Settings: master the art of prompt design and settings and learn how they can impact the API's outputTokens: acquire a comprehensive understanding of tokens and how to use them to control the API's output# Quick Start Tutorial :In this course, you'll dive into the world of OpenAI and GPT-3 language models. Our focus will be on the completions endpoint and how it can be applied to text completion and various other language-processing tasksYou'll learn how to use the OpenAI playground to experiment with code examples and understand the concepts of prompt design and settings, tokens, and models.The course will also include a Quick Star
Are you ready to boost your Python skills and explore the exciting world of Generative AI? This course is designed to help you ace certification exams and deepen your understanding of the essential Python tools used in generative AI development. With 50 practice questions based on real-world AI scenarios, you’ll test and expand your knowledge of Large Language Models (LLMs), Hugging Face Transformers, LangChain, and image generation frameworks like Stable Diffusion.Through this course, you’ll cover critical concepts in Python programming, AI model integration, and prompt engineering. The multiple-choice and multi-choice questions are structured to challenge you on real-world AI applications, helping you prepare for AI developer interviews, certification exams, and hands-on projects. Whether you're new to Python or already an experienced developer, this course is your perfect guide to mastering Generative AI technologies.Learn how to efficiently interact with AI libraries, manage data workflows, and develop advanced AI solutions. By the end of this course, you’ll be ready to apply your skills to create AI-driven applications and confidently face the challenges of Generative AI development.Why Take This Course?50 real-world-based MCQs & advanced AI problem-solvingPractical exposure to top AI frameworks & Python integrationIdeal prep for AI certifications and developer interviewsHands-on focus: LLMs, Hugging Face, LangChain, Stable DiffusionCertification Note:Upon successful completion of this course and its assessments, you are eligible for an official course certificate.Linked Topics:Python ProgrammingGenerative AILarge Language Models (LLMs)Hugging Face TransformersLangChainStable Diffusion</
The rise of Generative AI has transformed the field of artificial intelligence, with Large Language Models (LLMs) leading the way in applications such as chatbots, text generation, and automated summarization. "Generative AI & LLMs: Foundations to Hands-on Development" is a hands-on, comprehensive course designed to equip learners with in-depth knowledge of LLMs, prompt engineering, and model fine-tuning. Through theoretical insights and practical labs, participants will gain expertise in developing AI-powered applications using Python and Hugging Face.This course covers essential concepts, including the evolution of LLMs, attention mechanisms, ethical considerations, and best practices. It also delves into prompt engineering techniques and fine-tuning methodologies to customize models for specific tasks. With real-world projects and hands-on labs, learners will apply their knowledge by building AI chatbots, text summarizers, and fine-tuned models.Whether you're a student, developer, researcher, or business professional, this course offers invaluable insights and actionable knowledge that will empower you to harness the transformative potential of LLMs. By the end of this course, you will be well-equipped to develop, optimize, and fine-tune Generative AI applications, making them valuable contributors in the AI-driven world.Take the first step toward becoming a proficient AI practitioner and join the forefront of innovation in Language AI!
Welcome to Modern Computer Vision Tensorflow, Keras & PyTorch! 2025AI and Deep Learning are transforming industries and one of the most intriguing parts of this AI revolution is in Computer Vision!Update for 2025: Modern Computer Vision CourseWe're excited to bring you the latest updates for our 2024 modern computer vision course. Dive into an enriched curriculum covering the most advanced and relevant topics in the field:YOLOv8: Cutting-edge Object RecognitionDINO-GPT4V: Next-Gen Vision ModelsMeta CLIP for Enhanced Image AnalysisDetectron2 for Object DetectionSegment AnythingFace Recognition TechnologiesGenerative AI Networks for Creative ImagingTransformers in Computer VisionDeploying & Productionizing Vision ModelsDiffusion Models for Image ProcessingImage Generation and Its ApplicationsAnnotation Strategy for Efficient LearningRetrieval Augmented Generation (RAG)Zero-Shot Classifiers for Versatile ApplicationsUsing Roboflow: Streamlining Vision WorkflowsWhat is Computer Vision?But what exactly is Computer Vision and why is it so exciting? Well, what if Computers could understand what they’re seeing through cameras or in images? The applications for such technology are endless from medical imaging, military, self-driving cars, security monitoring, analysis, safety, farming, industry, and manufacturing! The list is endless. Job demand for Computer Vision workers are skyrocketing
Are you interested in leveraging the power of AI to streamline your Data Science projects?Do you want to learn how to use ChatGPT and GenAI technologies to design efficient data science workflows and create stunning data visualizations?Are you a data scientist, project manager, or entrepreneur keen on leveraging AI tools to kick-start and execute data science projects efficiently?If the answer is yes to any of these questions, this course is tailor-made for you!ChatGPT, developed by OpenAI, is an advanced language model that can be applied to various data science tasks, including data preparation, feature engineering, data analysis, and report generation. This course, "ChatGPT for Data Science and Data Analysis in Python", will help you significantly use ChatGPT to speed up your data science projects.Data Science continues to be one of the most in-demand fields, offering numerous career opportunities across sectors. With the advent of AI technologies like ChatGPT, it's now possible to execute data science projects more efficiently, reducing time and effort significantly. And we will teach you how. Here's what sets this course apart:A focus on practical application: From prompt engineering to text classification, you will learn to apply ChatGPT in real-world data science contexts.Step-by-step guide: Each module is designed to build on the previous one, ensuring a comprehensive understanding of how to use ChatGPT for various stages of a data science project.Collaborative learning: Learn how to use ChatGPT to improve team communication, a critical skill in any data science project.What will you learn?How to design efficient prompts in ChatGPT for optimal results.Techniques to initiate data science projects using ChatGPT, potentially reducing start-up time by
Caution before taking this course:This course does not make you expert in R programming rather it will teach you concepts which will be more than enough to be used in machine learning and natural language processing models.About the course:In this practical, hands-on course you’ll learn how to program in R and how to use R for effective data analysis, visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.Our main objective is to give you the education not just to understand the ins and outs of the R programming language, but also to learn exactly how to become a professional Data Scientist with R and land your first job.This course covers following topics:1. R programming concepts: variables, data structures: vector, matrix, list, data frames/ loops/ functions/ dplyr package/ apply() functions2. Web scraping: How to scrape titles, link and store to the data structures3. NLP technologies: Bag of Word model, Term Frequency model, Inverse Document Frequency model4. Sentimental Analysis: Bing and NRC lexicon5. Text miningBy the end of the course you’ll be in a journey to become Data Scientist with R and confidently apply for jobs and feel good knowing that you have the skills and knowledge to back it up.
Master Generative AI with LangChain and Hugging FaceUnlock the potential of generative AI and LLMs (Large Language Models) with our hands-on course. Dive deep into LangChain and Hugging Face, two of the most powerful tools in the AI space, and learn prompt engineering through practical examples. This course is designed to provide you with the skills to implement gen AI models effectively.Why Choose This Course?Generative AI is transforming industries from marketing to healthcare. Our course offers a unique opportunity to harness this technology effectively.Project-Based Learning: Engage in innovative projects, from text summarizers to text-to-video animations.Hands-On Expertise: Master LangChain and Hugging Face by applying them to real-world scenarios.Up-to-Date Knowledge: Work with the latest models and frameworks, staying ahead in the rapidly evolving AI landscape.What You’ll BuildThis course is structured around four key projects designed to teach you the practical applications of generative AI:Text Summarizer with GUIIntegrate LangChain components with Hugging Face's BART model.Load and summarize text from PDF documents.Design an intuitive graphical user interface (GUI) for a seamless user experience.Interactive AI Assistant with GUIDevelop a multi-functional assistant to handle summaries, queries, and more.Implement LangChain's query and summary handlers for efficiency.Create a user-friendly GUI and test the assistant's capabilities.Text-to-Image GeneratorTransform text inputs into visually stunning images using Hugging Face
Imagine having the power to talk to AI and get exactly what you need—whether it’s solving problems, brainstorming ideas, or writing something amazing. That’s what "ChatGPT Mastery : The Ultimate Guide to Prompt Engineering" is all about. This course is your ticket to understanding how to work with ChatGPT, OpenAI’s powerful AI model, and making it do exactly what you want.Think of it as learning the language of AI. The course takes you step-by-step through the art of crafting prompts, essentially, figuring out how to ask ChatGPT questions in a way that gets you clear, helpful, and meaningful answers. It’s not just about knowing what to type; it’s about knowing how to think when you interact with AI.You’ll learn all about what ChatGPT can do, where it shines, and even where it might need a little nudge. Whether you’re in a professional field or just love tech, this course shows you how to use AI tools like ChatGPT for everything from solving tough problems to creating incredible stories and content.It’s a hands-on journey into the world of AI, touching on important topics like how AI works, how it generates responses, and even the ethics of using it responsibly. By the end of it, you’ll not only be confident in working with ChatGPT but also have a solid understanding of how AI is shaping the world around us.Whether you’re an AI newbie or a tech-savvy pro, this course is designed to help you unlock the full potential of ChatGPT, turning it into your go-to tool for innovation and creativity.So, what are you waiting for? Join me in this exciting journey to master ChatGPT and unlock the endless possibilities of AI. Let’s get started, I'll see you in the course!
2026 Upgrade: Course completely re-recorded with LangChain v1 and LangGraph v1.All projects, agents, tools, and RAG pipelines rebuilt from scratch.**Perfect for developers, AI engineers, and serious learners who want production-grade GenAI skills.**This course is a comprehensive, practical guide to integrating Langchain v1 (latest release) and Ollama to build, automate, and deploy production-ready AI applications. Updated with the newest technologies and frameworks, you'll learn to set up these cutting-edge tools, create advanced prompt templates, build autonomous AI agents, implement RAG (Retrieval-Augmented Generation) systems, and deploy real-world applications on AWS. Each section is designed to provide you with hands-on skills and real-world experience with the latest AI development practices.What You Will Learn1. Ollama & Langchain SetupComplete installation and configuration of Ollama and LangchainWork with the latest models: GPT-OSS, Gemma3, Qwen3, DeepSeek R1, and LLAMA 3.2Master Ollama commands, custom model creation, and raw API integrationConfigure local LLM environments for optimal performance2. Advanced Prompt EngineeringDesign effective AI, human, and system message promptsUse ChatPromptTemplate and MessagesPlaceholder for dynamic conversationsMaster the invoke method and structured prompt patternsImplement best practices for prompt tuning and optimization3. LCEL Chains for Workflow AutomationBuild Sequential, Parallel, and Router Chains with Langchain Expression Language (LCEL)Create custom chains using RunnableLambda and RunnablePassthroughImplement chain decorators for simplified workflow automationDesign conditio
ChatGPT Smart Tips For Prompts"I couldn't be more impressed with the content and the instructor. The course provided a comprehensive overview of the capabilities and applications of the ChatGPT model, as well as hands-on experience working with the model to generate responses.” Muhammad"The course was clear and concise with great examples to follow." - Paula N."Very insightful" - Sakyiwaa, "Great insight" - AbdurrahmanAre you tired of spending hours on menial tasks that could be automated with the help of a powerful language model? Are you ready to harness the power of ChatGPT, the world's most advanced language model, and take your productivity to the next level? Look no further, because our ChatGPT Smart Tips course is here to help you do just that.PLUS you can download our ChatGPT Cheat Sheets for reference and follow along in the course as you put your ChatGPT smart tips skills to use to grow and boost your career.We make AI work and we have a passion for staying ahead of the curve when it comes to technology. We have been following the development of ChatGPT for some time now and we are excited to share our knowledge and experience with others. In this course we will teach you the ins and outs of using ChatGPT's capabilities to automate tedious tasks, generate creative ideas, and streamline your workflow.ChatGPT is a game changer in the field of language processing, with its ability to understand and respond to natural language it can be used for a wide range of tasks from automating mundane tasks to generating creative ideas. With this course, you'll learn how to harness the power of ChatGPT and streamline your workflow, making you more efficient and productive than ever before.Our Ch
226 ChatGPT Prompts: A-Z ChatGPT Prompt Engineering BootCampHey there, it's me, your next big career move. If you've ever thought, "How can I leverage the power of ChatGPT to elevate my game in my profession?", then this course is your answer. We're not just talking about a few tips here and there; this is the ultimate guide, the A-Z, the whole Bootcamp!Here's what you're getting:226+ ChatGPT Prompts tailored for various professions and life scenarios. Whether you're in logistics, HR, teaching, or even looking for a job, we've got you covered.Real-World Use Cases & Practice Exercises: Don't just learn, do. Apply what you learn in real-time, see the results, and iterate.Exclusive Access to Our Comprehensive ChatGPT Book: All the prompts we discuss? They're in there. A handy reference for whenever you need it.Stay Updated: This isn't a one-and-done deal. The course is updated with the latest from ChatGPT, including plugins, DALL·E 3, advanced analytics, and more.Diverse Categories: From eCommerce and content creation to health, fitness, and even travel. We've thought of everything, and then some.Why This Course?Look, the digital age is here, and it's not waiting for anyone. ChatGPT is revolutionizing how we work, communicate, and even learn. But here's the thing: knowledge without application is just trivia. This course ensures you apply what you learn, making you more efficient, effective, and, quite frankly, indispensable in your field.A Word from Your Instructor:I genuinely care about your growth. I'm not here to sell you a dream. I'm here to give you the tools to build that dream. This course? It's one
This Online Bootcamp is a compact and accelerated version of our 400-hour in-person master's program.It has four parts:- In Part 1, you will learn the keys to Artificial Intelligence and the new Generative AI, as well as its potential to revolutionize businesses, startups, and employment.- In Part 2, you will learn to build professional-level LLM Applications, the most potential applications of Generative AI. You will also learn how to build Advanced RAG LLM Apps, Multimodal LLM Apps, AI Agents, Multi-Agent LLM Apps, and how to manage LLMOps.- In Part 3, you will learn how to build traditional and Gen AI apps without coding using Cursor AI and the new AI Coding Assistants. You will learn what are AI Coding Assistants like Cursor AI, Claude AI, v0, o1, Replit Agent, etc, and how to increase their performance by combining them with tools like the Replit platform, simplified backends like Firebase, Replicate AI, Stable Fusion, or Deepgram.- In Part 4, you will learn how to create SaaS applications without coding using Cursor AI. You’ll also see, through two high-level real-world examples, how Generative AI is transforming the SaaS (Software as a Service) model.By the end of this program, you will know how to do the following:AI AND BUSINESSKnow the businesses that AI puts at risk of disappearing.Know the new opportunities created by AI for businesses.Design a plan to introduce AI into your company.Select an appropriate pilot project to introduce AI into your company.Form the first AI team in your company.Prepare your company's AI strategy.AI AND STARTUPIdentify 100 opportunities to create AI startups.AI AND EMPLOYMENTKnow the professions that AI puts at risk of disappearing.Know the new p
MASTER ENTERPRISE AI AGENTS & FUTURE-PROOF YOUR CAREER2025 is the year AI agents enter the workforce. While 47% of companies believe organizations not using AI will fail, only 15% have skilled AI engineers. Don't get left behind.Transform from curious learner to Professional AI Agent Engineer using LangChain, LangGraph, CrewAI, AutoGen, and RAG systems with the same enterprise patterns deployed by Netflix, Google, and Fortune 500 companies. Master the complete journey from cost-free local development with Ollama to production enterprise deployment.WHY THIS AI AGENTS BOOTCAMP IS DIFFERENTELIMINATE COST BARRIERS: Start with 100% FREE local models using Ollama, DeepSeek-R1, and Llama 3.2, then scale intelligently to enterprise cloud when needed. No more $200/month GPT-4o bills blocking your learning with ANY LLM provider flexibility.ENTERPRISE-GRADE AI AGENT ARCHITECTURE: Learn the same multi-agent orchestration patterns using LangChain, LangGraph, CrewAI, and AutoGen that tech giants use to save millions in operational costs and scale AI agents to millions of users.2025 CUTTING-EDGE AI AGENT STACK: Master DeepSeek-R1 (competitive with OpenAI o1 at 96% lower cost), LangGraph workflows, CrewAI multi-agent systems, and AutoGen coordination patterns before your competition.COMPLETE PROFESSIONAL AI AGENT TECHNOLOGY STACKCORE ENTERPRISE AI FRAMEWORKS: LangChain & LangGraph: AI agent orchestration with ANY LLM provider RAG Systems: Vector search with FAISS, ChromaDB, Pinecone for intelligent document retrieval Multi-Agent Systems: AutoGen team coordination, CrewAI role-based agents, advanced orchestration patterns Visual Development: Langflow no-code AI agent pipelines for rapi
This course includes a module on Ensemble Learning, covering decision trees and random forests.
This course provides insights into how Generative AI is revolutionizing user research and design thinking. It covers mastering AI tools for user research, synthesizing and interpreting research data, and applying AI to generate strategic insights.
This course teaches you how to use open-source models from the Hugging Face Hub for various tasks like NLP, audio, and image processing. You will learn to use the transformers library to perform these tasks with just a few lines of code and deploy your applications using Gradio and Hugging Face Spaces.
Ideal for business leaders, consultants, and functional leaders who want to strategically integrate AI and generative AI into their operations for growth and decision-making.
This video course equips you with the knowledge and skills needed to implement multimodal AI systems. You will gain hands-on experience building visual question and answering models, generating personalized images with diffusion, designing end-to-end multimodal applications, and fine-tuning multimodal models.
This training course empowers you to unlock the potential of Microsoft's cutting-edge language models. You will learn to provision the Azure OpenAI service, deploy powerful models, and use them to build groundbreaking AI applications that can write, chat, and understand human language.
A hybrid course that teaches how to analyze, forecast, and optimize energy demand using AI and data science with Python. It is designed for InnoEnergy masters students and PhD researchers, focusing on practical lab sessions and real-world energy use cases.
A comprehensive, beginner-friendly course that covers AI's impact on design, from the basics and prompt engineering to integrating AI tools into your workflow, complete with portfolio-building exercises.
A course with 14 short lessons on how to use ChatGPT to optimize administrative tasks in healthcare outside of direct patient contact.
An instructor-led, live training course for intermediate to advanced data scientists and engineers who want to delve deep into the architectures and techniques of text-to-image generation with Stable Diffusion.
An accredited program that explores AI's role in renewable energy, covering neural networks, deep learning, load forecasting, and predictive maintenance.
This course provides a deep dive into NER and Information Extraction, equipping participants with NLP techniques to transform unstructured text into structured data. It focuses on advanced machine learning and deep learning architectures, including Transformer models.
An extensive course on advanced Retrieval Augmented Generation (RAG) techniques using LlamaIndex and LangChain, created in collaboration with LlamaIndex. It covers industry-specific projects and features like Deep Memory for improved retrieval accuracy.
Gain insights into AWS Bedrock and LLMs to position yourself at the forefront of AI innovation. You will build and deploy three AI projects using foundation models from a single API.
This training covers both text classification and NER, explaining entity types and the differences between rule-based and machine learning approaches. It includes hands-on labs for implementing NER with spaCy and customizing models for specific applications.
An advanced certificate course designed to equip insurance professionals with the knowledge and skills to effectively apply AI and Generative AI in their daily workflows, focusing on practical demonstrations and insurance-specific use cases.
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