Stanford — Free AI Courses

Andrew Ng's legendary Stanford ML course — supervised/unsupervised learning, learning theory, reinforcement learning.

Stanford's flagship NLP course — word vectors, transformers, attention, pretraining, and modern LLMs.

Stanford's seminal computer vision course — Fei-Fei Li, Justin Johnson, Andrej Karpathy. CNNs, segmentation, generative models.

Stanford seminar series with the leading researchers in transformers — Vaswani, OpenAI, DeepMind guest lectures.

Stanford's deep generative models course — VAEs, GANs, normalizing flows, diffusion, autoregressive.

Chelsea Finn's course on multi-task learning, meta-learning, and continual learning.

Stanford's deep dive into building LLMs end-to-end — tokenization, architecture, training, alignment.