A free, case-based digital textbook that teaches machine learning and AI through real companies and hands-on AI labs.
Every chapter is a real business case. Every lab puts you inside the AI that made it work.
Most AI textbooks teach theory first and hope the business applications follow. This one does the opposite. Every chapter starts with a real company facing a real problem — and uses that story to teach the machine learning concepts that made their solution possible.
You will not just learn what a recommendation system is. You will understand why Spotify built one, how it works, what went wrong, and what the business consequences were. Then you will build a version of it yourself.
No prior programming experience is required. Each lab uses Claude to help you write and understand code step by step.
Every chapter follows the same structure so you always know what to expect.
Read about a real company solving a real problem with AI. Learn the ML concepts as they come up in the story.
Key ML and AI vocabulary is introduced inline — right when you need it, not in a separate glossary.
Build a simplified version of the system in Python using Claude and Google Colab. Publish it on GitHub.
Every company in this textbook follows the same underlying pattern. Learning to see it is the core skill of the course.
This textbook is for business students who want to understand how AI actually works in practice — not just in theory. You do not need a coding background. Each chapter tells the story of a real company, teaches the AI concepts that made their strategy possible, and then walks you through building a version of it yourself.
Each chapter includes a business case, key ML concepts, and a hands-on lab.