Learn how AI actually works, from scratch.
A docs-style course, not a wall of slides: symbolic AI to LLMs, gradient descent to attention, training to inference — with interactive widgets and a full glossary, written to be read end to end.
22
Lessons
87
Glossary terms
23
People profiled
12
Papers explained
13
Interactive widgets
Start with History & Landscape
How the field got here — symbolic AI to expert systems to statistical ML to the LLM era, and what pushed it out of each one.
Docs
The course itself — foundations through applied systems, in reading order.
Reference
Short, linkable definitions for every term the lessons use, cross-linked automatically.
People
Who actually built this field — profiles from founding theory to current labs.
Papers
Plain-language explainers for the research papers the course cites most.
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