The Boring Reading List for Learning AI

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Someone asks me, or I ask myself, where to even start with learning AI. Search and you drown - a thousand courses on prompting a chatbot, and almost none on how any of it works.

This is the answer I keep giving. The handful of resources that actually taught me AI, from the years I taught myself the basics and then did a PhD in it, roughly 2015 to 2023, before the ChatGPT hype. Grouped by what they are good for: the on-ramps like Andrew Ng and fast.ai, the books worth keeping on the desk, the explainers for when a concept will not click, and the deeper corners by the shape of your data. Each entry has a note on why it is worth your time, and an honest opinion on which to do first.

Almost everything here predates LLMs and still holds, because the fundamentals move far slower than the headlines. A course from 2017 will still teach you more about how AI works than a viral post on ten things a chatbot can do.

What you get: a curated path through a noisy field, from someone who learned it the slow way and now teaches it. The PDF to download and keep, free.
Someone asks me, or I ask myself, where to even start with learning AI. Search and you drown - a thousand courses on prompting a chatbot, and almost none on how any of it works.

This is the answer I keep giving. The handful of resources that actually taught me AI, from the years I taught myself the basics and then did a PhD in it, roughly 2015 to 2023, before the ChatGPT hype. Grouped by what they are good for: the on-ramps like Andrew Ng and fast.ai, the books worth keeping on the desk, the explainers for when a concept will not click, and the deeper corners by the shape of your data. Each entry has a note on why it is worth your time, and an honest opinion on which to do first.

Almost everything here predates LLMs and still holds, because the fundamentals move far slower than the headlines. A course from 2017 will still teach you more about how AI works than a viral post on ten things a chatbot can do.

What you get: a curated path through a noisy field, from someone who learned it the slow way and now teaches it. The PDF to download and keep, free.