0
MODULE 0 — BEFORE THE MACHINE
History and foundations of AI
AI's family tree: rules, logic, search, statistics and networks.
LABS / OPEN AND FREE COURSE
Inside AI
From the history of artificial intelligence to building a small language machine
An introductory course for curious people, researchers and non-specialists who want to understand how artificial intelligence got to LLMs — and how a language machine works on the inside. Without requiring advanced programming, the course walks through the history of AI, from symbolic logic and graphs to neural networks, tokens, Transformers and language models. It then guides the student to conceptually and interactively build a Small Language Machine, revealing step by step how text becomes number, context becomes prediction and probabilities become an answer.
For those who use AI, research with AI or want to think critically about its limits · no programming prerequisite
18h estimated study time
5
modules
35
lessons
3
labs
free
and open
1
MODULE 1 — FOUNDATION
How a Small Language Machine works
From stage zero to a prototype: tokens, context, probability and generation.
2
MODULE 2 — HANDS ON
Building the interactive machine
The Small Language Machine alive: edit the corpus, watch the table and generate text, live.
3
MODULE 3 — MODERN
Evolving toward modern concepts
From n-grams to embeddings, attention and RAG — the bridge to LLMs, with visual mini-labs.
4
MODULE 4 — CLOSING
Applications, limits and critical use
What AI does well, where it fails and how to use it with critical thinking.