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Free ML/AI Course Notes from MIT and Stanford
A curated list of official, free ML and AI course notes published by professors at MIT, Harvard, Stanford, Berkeley, Oxford, and other top universities — written prose only, no login required.
A strictly curated index of written ML and AI course notes published directly by professors and departments at institutions including MIT, Harvard, Princeton, Stanford, UC Berkeley, Caltech, Cornell, Oxford, LMU Munich, KAIST, and USP Brazil. The list enforces a high bar: only written prose notes that read like a textbook chapter — not slide decks, not video lectures. Every entry is official, permanently free, and accessible without login. This is a companion project to the same author's earlier 'Awesome Free AI Books' repository, which was featured here in late July.
Why a vibe-coder should care
If you want to understand how the models you use every day actually work — not just prompt them — these are the same materials used by students at MIT and Stanford. Handing a section to an AI agent and asking for a plain-language explanation of any topic is a fast way to build real intuition.
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