Free AI curriculum maps a practical path from first principles to LLMs

tetsuoai · x · 2026-07-28

A practical guide that turns a huge pile of AI courses into a sequenced learning path.

The author argues the internet does not lack AI courses; it lacks a sensible order to take them in.
The article organizes material into a ladder: search and reasoning, probability and optimization, supervised learning, neural networks, then specialization.
It curates open university courses across AI, machine learning, deep learning, reinforcement learning, NLP, generative models, and computer vision.
The goal is not to rank every course or finish them all, but to pick one core course, do the assignments, and use the rest as references when needed.

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