Free Courses
mit-intro-dl— concise orientation to modern deep learning.d2l— executable textbook-style coverage from foundations through attention.mit-ocw-ml— deeper machine-learning foundations.hf-llm-course— practical transformer, tokenizer, and ecosystem workflows.stanford-cs336— language-model construction and training.dlsyscourse— frameworks, compilers, and hardware-aware execution.fsdl— end-to-end development and operations.
Use the ordered reading in each track module. Confirm current access and canonical details in data rather than treating this prose as a URL registry.