A syllabus for the generative AI gold rush

What it does

This is a curated awesome-list that aspires to be a full-semester syllabus for generative AI. It catalogs more than 90 free courses from universities and cloud vendors, supplements them with monthly best-paper lists, and adds original material like a 10-week Applied LLMs Mastery track and interview question sets. Think of it as a syllabus with links: heavy on pointers to Stanford, Hugging Face, and YouTube, but with enough original markdown lectures to feel like a course portal.

The interesting bit

Unlike static link rotaries, the repository is built around live teaching. The maintainer runs cohorts and deposits weekly lecture notes—covering fine-tuning, RAG, evaluation, and deployment—directly into the repo, so the content updates feel like semester rollouts rather than casual list maintenance.

Key highlights

• Over 90 free GenAI courses indexed, from ETH Zurich and Princeton to Google Cloud and Microsoft
• Original 10-week “Applied LLMs Mastery” course with week-by-week markdown on prompting, fine-tuning, RAG, and LLMOps
• Curated interview prep including 60 common GenAI questions and ICLR 2024 paper summaries
• Structured roadmaps for 3-day RAG, 5-day LLM foundations, and LLM agents
• Certification tracks for AI evaluation and OpenClaw Mastery, though the README never defines what OpenClaw is

Caveats

• Several announcements cite 2024 dates (e.g., “Feb 2024” registration windows), so cohort deadlines may be stale
• The repository is primarily a collection of external links and course notes, not code or frameworks

Verdict

Worth bookmarking if you’re breaking into LLM engineering and want a structured curriculum without bootcamp tuition. Skip it if you already maintain your own paper pipeline and reading list.