A curated firehose for drowning in GenAI knowledge slower
A human-maintained index of courses, papers, roadmaps, and interview prep for developers who want to learn LLMs without building their own syllabus from scratch.

What it does This repository is essentially a well-organized bookmark collection for generative AI learning. It catalogs over 90 free courses, monthly paper roundups, interview question sets, multi-week course materials, and topic-specific roadmaps (RAG in 3 days, LLM foundations in 5, agents in 5). The maintainer also runs original free courses—Applied LLMs Mastery 2024, AI Evals, OpenClaw Mastery—with Notion-based materials and completion certificates.
The interesting bit The value isn’t the links themselves, which you could Google; it’s the sequencing. The 10-week Applied LLMs syllabus walks from prompting through fine-tuning, RAG, evaluation, and deployment in a deliberate order, which is harder to assemble than it sounds when every vendor blog claims their tool is the missing piece.
Key highlights
- 90+ free GenAI courses indexed, from Stanford and ETH Zurich to vendor tracks by Google, Microsoft, AWS, and Nvidia
- Original 10-week “Applied LLMs Mastery” course with weekly markdown lessons and 1000+ enrolled students
- Curated monthly best-paper lists and ICLR 2024 summaries
- Interview prep including 60 common GenAI questions
- Topic roadmaps: 3-day RAG, 5-day LLM foundations, 5-day agents, plus an “LLM Lingo” glossary
- Two certifiable mini-courses on evaluation (“AI Evals”) and an unspecified “OpenClaw” topic
Caveats
- The README is heavy on emoji and exclamation points; navigation requires patience
- Several course links point to external platforms (Notion, Coursera, YouTube) with no mirroring, so link rot is a real risk
- “OpenClaw Mastery” is mentioned repeatedly but never actually described; the name appears to be branding without explanation
Verdict Grab this if you’re early in your LLM journey and want a structured syllabus without paying bootcamp prices. Skip it if you already know your way around Hugging Face, LangChain, and the arXiv daily mailings—you’ll find little here you haven’t seen.