# Learning AI

> Courses and explainers for understanding neural networks and LLMs. 3Blue1Brown, Karpathy's Zero to Hero, Anthropic Academy, fast.ai and Hugging Face, plus a few sources for keeping up.

Source: https://ali.id.au/practices/learning/ai/ (last edited 2026-10-12)

## Fundamentals

* [3Blue1Brown: Neural networks](https://www.3blue1brown.com/topics/neural-networks)
* [Karpathy: Intro to Large Language Models](https://www.youtube.com/watch?v=zjkBMFhNj_g)
* [Transformer Explainer Visualizer](https://poloclub.github.io/transformer-explainer/)
* [The Illustrated Transformer](https://jalammar.github.io/illustrated-transformer/)
* [Karpathy: Neural Networks, Zero to Hero](https://karpathy.ai/zero-to-hero.html)
* [fast.ai: Practical Deep Learning for Coders](https://course.fast.ai/)
* [The 2025 AI Engineering Reading List](https://www.latent.space/p/2025-papers) - if you want to dive deeper.

## Working with models

* [Anthropic Academy](https://anthropic.skilljar.com/) - Anthropic certification is available through their courses.
* [Hugging Face Learn](https://huggingface.co/learn) - open-source side
* [Microsoft AI learning hub](https://learn.microsoft.com/ai/)
* [NVIDIA Deep Learning Institute](https://learn.nvidia.com/) - hands-on courses, some free

## Keeping up

* [Simon Willison's weblog](https://simonwillison.net/) - tech oriented
* [Theo (t3.gg)](https://www.youtube.com/@t3dotgg) - opinionated DX
* [Nate B Jones](https://www.youtube.com/@NateBJones) - business / strategy
* [Latent Space](https://www.latent.space/)