📄️ Table of contents
Free discovery course on Artificial Intelligence in 6 teaching lessons. Understand what AI really is, how AI, machine learning and deep learning relate, how a machine actually learns from data, and where AI is used in 2026. No maths, no code.
📄️ 1. The problem AI solves
Lesson 1 of the free AI course: why programming every rule by hand hit a wall, what a cat photo reveals about the limits of classical code, and the three things that changed around 2012 to make modern AI possible.
📄️ 2. What is AI?
Lesson 2 of the free AI course: a definition of Artificial Intelligence that actually holds up, the difference between narrow AI and general AI, why no system today understands anything, and the four limits every AI shares.
📄️ 3. AI, ML, deep learning
Lesson 3 of the free AI course: the three nested circles of AI, machine learning and deep learning, where generative AI and LLMs fit, and how to choose between a simple model and a neural network.
📄️ 4. How a machine learns
Lesson 4 of the free AI course: follow a model from raw data to prediction, understand parameters, loss and gradient descent without equations, and see why overfitting is the failure that catches everyone.
📄️ 5. Where AI is really used
Lesson 5 of the free AI course: concrete AI deployments in medicine, banking, manufacturing and consumer products, what actually works, what fails, and the three questions that decide whether a project is worth starting.
📄️ 6. Recap and FAQ
Lesson 6 of the free AI course: a one-page synthesis of everything covered, a glossary of the terms you will meet everywhere, and straight answers to the 14 questions beginners ask most about AI.
📄️ 7. Quiz and attestation
Test your understanding of Artificial Intelligence with a free 5-question quiz, corrected and explained: definitions, narrow versus general AI, machine learning versus deep learning, training and overfitting.