Advanced Generative AI

Generative AI for Content Creation & Marketing

LLM Evaluation and Testing

Streamlit for LLM Applications

Generative AI and ChatGPT: Complete Course

AI Image Generation with Stable Diffusion and DALL-E

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.

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 LL Ms at scale.

This course focuses on the foundational concepts of LL Ms, specifically tokenization and word embedding models. It includes practical, hands-on exercises for building and training these models using PyTorch.

Learn ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More

Generative AI with Large Language Models

A comprehensive guide to over 50 generative AI tools to enhance business productivity and creativity, with a focus on ChatGPT and prompt engineering.

A bestselling bootcamp that teaches practical skills for working professionally with AI, including GPT-4, Midjourney, and Git Hub Copilot. It covers the 'Five Principles of Prompting' and other professional-grade tips and tricks.

Understand ChatGPT, GPT, LL Ms, Transformer Models and Generative AI concepts. Learn about prompt engineering.

Welcome to 'AI in Coding & Data Science: Master ChatGPT, Git Hub 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 AI In this course, you will learn how to leverage AI tools like ChatGPT, Git Hub 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 Code Interpreter 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

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 (LL Ms) 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, Llama Index, 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.

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" - Abdurrahman Are 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

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, Tik Tok, 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 Works This 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, Tik Tok, or You Tube, 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 LL Ms: The evolution from RNNs to the Attention mechanism that started it all.The Transformer

The AI revolution is accelerating at an unimaginable pace, and those who master Large Language Models (LL Ms) and Agentic AI will define the future of technology. The "Large Language Models (LL Ms) & 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 LL Ms and agent frameworks, including how to benchmark models using LM Studio. The course then guides you through working with powerful closed-source AP Is 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 LL Ms. 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 Auto Gen, OpenAI Agents SDK, Lang Graph, 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.

Avec l'avènement des intelligences artificielles comme ChatGPT et Midjourney, nous vivons une véritable révolution dans le monde de la technologie. Et il est devenu indispensable de posséder des compétences en intelligence artificielle pour rester compétitif sur le marché de l'emploi. Si vous cherchez à développer vos compétences en IA, ce cours est exactement ce dont vous avez besoin pour acquérir les bases nécessaires et vous positionner comme un expert dans ce domaine en pleine croissance.Pourquoi Le deep learning avec TensorFlow et non PyTorch ?Parce que :TensorFlow a été créé par Google en 2015, tandis que PyTorch est apparu en 2017. TensorFlow a donc été utilisé et testé plus longtemps dans des applications de production.TensorFlow est plus adapté aux projets de grande envergure. TensorFlow a été conçu pour être utilisé sur des clusters de machines, ce qui en fait un choix plus approprié pour les projets de grande envergure.TensorFlow offre une grande flexibilité en termes de déploiement. TensorFlow peut être utilisé pour déployer des modèles sur différents types d'appareils, y compris les ordinateurs, les serveurs, les téléphones mobiles et les dispositifs de l'internet des objets.TensorFlow dispose d'un écosystème plus large et est utilisé dans un large éventail d'applications, allant de la reconnaissance d'image et de la vision par ordinateur à la prédiction de séries temporelles et à la modélisation du langage naturel.Les bases mathématiques du Deep Learning : Pas besoin d’être un matheux Cependant, TensorFlow encapsule plusieurs concepts mathématiques de base dont la compréhension est indispensable pour bien entrainer des réseaux de neurones.C’est pourquoi nous débutons cette formation par les bases mathématiques du Deep Learning, mais de façon pratique avec du code et non des formules mathématiques.Si vous avez le niveau Lycée en Mathématique mais pense

you will learn all these Topics and lot more 1. Core Concepts1. Perceptron2. MLPs and its Notation3. Forward Propagation4. Backpropagation5. Chain Rule of Derivative in Backpropagation6. Vanishing Gradient Problem7. Exploding Gradient Activation Functions List 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. Soft Plus13. Mish14. Maxout15. GELU (Gaussian Error Linear Unit)16. SiLU (Sigmoid Linear Unit)17. Gated Linear Unit (GLU)18. SwiGLU19. Mish Activation Function Derivative of Activation Functions Properties 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 Linear Ideal 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

Unlock the Power of Generative AI In 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 (LL Ms) 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 Revolution Ready to embark on this transformative journey? Join me as we explore the exciting world of Generative AI.

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 cubriremos Experiencia en IA desde una perspectiva comercial Casos de uso reales: tanto historias de éxito como fracasos Kits de herramientas accionables para aplicar en tu negocio Ejemplos desde startups en stealth mode hasta empresas globales Lo que NO cubriremos Detalles 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 aprenderás Estrategia de IA, toma de decisiones en IA y liderazgo en IA.Este taller desarrolla tu expertise a través de 3 módulos:Módulo 1: C

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.Welcome to PyTorch:&nbsp;Deep Learning and Artificial Intelligence!Although Google's Deep Learning library TensorFlow has gained massive popularity over the past few years, PyTorch has been the library of choice for professionals and researchers around the globe for deep learning and artificial intelligence.Is it possible that TensorFlow is popular only because Google is popular and used effective marketing?Why did TensorFlow change so significantly between version 1 and version 2?&nbsp;Was there something deeply flawed with it, and are there still potential problems?It is less well-known that PyTorch is backed by another Internet giant, Facebook (specifically, the Facebook AI&nbsp;Research Lab - FAIR). So if you want a popular deep learning library backed by billion dollar companies and lots of community support, you can't go wrong with PyTorch. And maybe it's a bonus that the library won't completely ruin all your old code when it advances to the next version. ;)On the flip side, it is very well-known that all the top AI shops (ex. OpenAI, Apple, and JP Morgan Chase) use PyTorch. OpenAI just recently switched to PyTorch in 2020, a strong sign that PyTorch is picking up steam.If you are a professional, you will quickly recognize that building and testing new ideas is extremely easy with PyTorch, while it can be pretty hard in other libraries that try to do everything for you. Oh, and it's faster.Deep Learning has been responsible for some amazing achievements recently, such as:<ul