Hi everyone, Henrik here: This Leanpub course is basically the book content, plus 16 quizzes and 16 exercises to help you focus. It's for people who want to learn the material for work, but their company would rather pay for them to do a course than to sit around in their pyjamas and fuzzy slippers reading a book :) Let me know what you think!

Welcome to the strange new world of Generative AI! This course is a fast-paced, practical, and mostly human-written guide to what the heck is going on, and what you can do about it. It is like an extended version of Henrik's viral video with the same name.

This course covers questions like: What is generative AI? How does it work? How do I use it? What are some of the risks & limitations? It also covers topics like how to lead an AI transformation, autonomous agents, the role of us humans, prompt engineering tips, AI-powered product development, different types of models, and some tips about mindset and how not to freak out.

Everything is explained in plain English with Henrik's signature hand-drawn illustrations and concrete real-life examples. Minimum use of jargon and buzzwords.

Don't just survive the Age of AI — learn how to thrive in it!

This course is based on the book Generative AI in a Nutshell: How to Survive and Thrive in the Age of AI. It was generated from the book using CourseAI.

Hi everyone, Obie here: This Leanpub course is basically the book content, plus 15 exercises and 15 quizzes to help you focus. It's for people who want to learn the material for work, but their company would rather pay for them to do a course than to sit around in their pyjamas and fuzzy slippers reading a book :) Let me know what you think!

Patterns of Application Development Using AI is a groundbreaking course that explores the intersection of artificial intelligence (AI) and application development. In this course, Obie Fernandez, a renowned software developer and co-founder of AI-powered consultant platform Olympia, shares his invaluable insights and experiences from a year-long journey of building an AI-powered application.

Through a compelling combination of narrative lessons and practical pattern references, Obie presents a comprehensive guide to leveraging the power of large language models (LLMs) in application development. He introduces innovative patterns such as the "Multitude of Workers," "Self-Healing Data," and "Contextual Content Generation," which empower developers to build intelligent, adaptive, and user-centric applications.

Unlike other books or courses on AI that focus on theoretical concepts or delve into the intricacies of machine learning algorithms, this course takes a pragmatic approach. It provides concrete examples, real-world use cases, and actionable advice on how to integrate AI components and functions into application architectures. Obie shares his successes, challenges, and lessons learned, offering a unique perspective on the practical application of AI in software development.

This course is based on the book Patterns of Application Development Using AI. It was generated from the book using CourseAI.

Hi everyone, Andriy here: This Leanpub course is basically the book content, plus 6 quizzes and 27 exercises to help you focus. It also includes about 3 hours of videos where I talk about some of the fundamental concepts. It's for people who want to learn the material for work, but their company would rather pay for them to do a course than to sit around in their pyjamas and fuzzy slippers reading a book :) Let me know what you think!

Master language models through mathematics, illustrations, and code―and build your own from scratch!

The Hundred-Page Language Models Course by Andriy Burkov, the follow-up to his bestselling The Hundred-Page Machine Learning Book (now in 12 languages), offers a concise yet thorough journey from language modeling fundamentals to the cutting edge of modern Large Language Models (LLMs). Within Andriy's famous "hundred-page" format, readers will master both theoretical concepts and practical implementations, making it an invaluable resource for developers, data scientists, and machine learning engineers.

Access Nearly Three Hours of Exclusive Video Interviews with the Author!

Buying the course gives you access to nearly three hours of exclusive video interviews with the author, discussing the timeless scientific and mathematical fundamentals of this world-changing technology, and where it might be going in the future.

The Hundred-Page Language Models Course allows you to:

- Master the mathematical foundations of modern machine learning and neural networks

- Build and train three architectures of language models in Python

- Understand and code a Transformer language model from scratch in PyTorch

- Work with LLMs, including instruction finetuning and prompt engineering

Written in a hands-on style with working Python code examples, this course progressively builds your understanding from basic machine learning concepts to advanced language model architectures. All code examples run on Google Colab, making it accessible to anyone with a modern laptop.

About the technology

Language models have evolved from simple n-gram statistics to become one of the most transformative technologies in AI, rivaling only personal computers in their impact. This course spans the complete evolution—from count-based methods to modern Transformer architectures—delivering a thorough understanding of both how these models work and how to implement them.

About the course

The Hundred-Page Language Models Course takes a unique approach by introducing language modeling concepts gradually, starting with foundational methods before advancing to modern architectures. Each chapter builds upon the previous one, making complex concepts accessible through clear explanations, diagrams, and practical implementations.

What's inside

- Essential machine learning and neural network fundamentals

- Text representation techniques and basic language modeling

- Implementation of RNNs and Transformer architectures with PyTorch

- Practical guidance on finetuning language models and prompt engineering

- Important considerations on hallucinations and ways to evaluate models

- Additional resources for advanced topics through the book's wiki

The complete code and additional resources are available through the course's website at thelmbook.com/wiki.

About the reader

Readers should have programming experience in Python. While familiarity with PyTorch and tensors is helpful, it's not required. College-level math knowledge is beneficial, but the book presents mathematical concepts intuitively with clear examples and diagrams.

About the author

Andriy Burkov holds a Ph.D. in Artificial Intelligence and is a recognized expert in machine learning and natural language processing. As a machine learning expert and leader, Andriy has successfully led dozens of production-grade AI projects in different business domains at Fujitsu and Gartner. His previous books have been translated into a dozen languages and are used as textbooks in many universities worldwide. His work has impacted millions of machine learning practitioners and researchers worldwide.

Testimonials for the book version

Vint Cerf, Internet pioneer and Turing Award recipient: "This book cleared up a lot of conceptual confusion for me about how Machine Learning actually works - it is a gem of clarity."

Tomáš Mikolov, the author of word2vec and FastText: "The book is a good start for anyone new to language modeling who aspires to improve on state of the art."