GenAI Fundamentals

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.

A free virtual course that teaches essential skills in generative artificial intelligence, including fact-checking AI-generated content and ethical AI use. The course is self-paced and designed for learners with no prior experience.

This course explores the transformative potential of generative AI technologies in the realm of financial operations (Fin Ops). It covers the intricacies of large language models (LL Ms) and how they can be harnessed to augment and optimize Fin Ops processes.

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.

A foundational course for beginners that provides a comprehensive overview of Generative AI concepts, applications, challenges, and opportunities.

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 Python Embark 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 Reality In the first part of this course, we will explore the exciting world of Generative AI and Large Language Models (LL Ms). 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

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 (LL Ms), 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!

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

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 (LL Ms), 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 MC Qs &amp; advanced AI problem-solving Practical exposure to top AI frameworks &amp; Python integration Ideal prep for AI certifications and developer interviews Hands-on focus: LL Ms, Hugging Face, LangChain, Stable Diffusion Certification Note:Upon successful completion of this course and its assessments, you are eligible for an official course certificate.Linked Topics:Python Programming Generative AI Large Language Models (LL Ms)Hugging Face Transformers LangChain Stable Diffusion</

The rise of Generative AI has transformed the field of artificial intelligence, with Large Language Models (LL Ms) leading the way in applications such as chatbots, text generation, and automated summarization. "Generative AI &amp; LL Ms: Foundations to Hands-on Development" is a hands-on, comprehensive course designed to equip learners with in-depth knowledge of LL Ms, 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 LL Ms, 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 LL Ms. 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!

This course covers everything from Large Language Models (LL Ms) and prompt engineering to&nbsp; 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 LL Ms' 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 Get In 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. &nbsp;

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 Num Py, Pandas, and Matplotlib for effective data handling and visualization. Then, we advance into Deep Learning, building and training neural networks Mode 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 (LL Ms), 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 Learn Python programming basics and data manipulation using Num Py and Pandas Data visualization using Matplotlib Fundamentals of Deep Learning and neural network training Building Generative AI models: GANs, VAEs, LL Ms, and Diffusion Models Implementing Retrieval-Augmented Genera

Welcome to "Learn Hugging Face for Mastering Generative AI with LL Ms". In today's AI-driven world, Hugging Face has become a central platform for working with Large Language Models (LL Ms), 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 LL Ms, 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 LL Ms, 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 LL Ms 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.

Ace the NVIDIA-Certified Associate Generative AI LL Ms (NCA-GENL) Exam: Your Comprehensive Preparation Guide Are you ready to dive into the exciting world of Generative AI and Large Language Models (LL Ms)? 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 LL Ms (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 LL Ms. 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 LL Ms: Deep dive into the core concepts, architectures, and applications of generative AI and LL Ms.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