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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.

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