awesome-ai-engineering: a free GitHub repo packing the full AI engineering learning path
bigaiguy · x · 2026-10-16
Someone compiled the entire AI engineering learning path into a free GitHub repo called awesome-ai-engineering, billed as the closest thing to a free CS degree. Inside:
- Stanford CS229 and CS25 Transformers, the actual courses
- Andrew Ng's Deep Learning Specialization (free to audit)
- fast.ai's Practical Deep Learning for Coders
- Hugging Face Transformers course and fine-tuning docs
- Best repos for LLMs and prompt engineering, plus how to find papers that matter
- Playgrounds to test major models side by side
- Full interview prep, internships, and open source programs
Suggested zero-to-one path: Python first → audit Ng's ML course → fast.ai with a real project by week 3 → the Hugging Face course.
More from Companies & People
- ML researcher Emtiyaz Khan moves to TU Darmstadt, hiring PhD students via ELISS — EmtiyazKhan · 2026-10-16
- Tripo hosts first world-building hackathon in SF with World Labs and Runway talks — mhdfaran · 2026-10-16
- Dev warns enterprises: OpenAI and Anthropic products are an IP security risk — examachine · 2026-10-16
- a16z podcast: Can AI run the systems after writing the code? — a16z Podcast · 2026-10-16
- Zuckerberg backs electrician training school as US datacenter construction outpaces offices — emmanuelvivier · 2026-10-16
- Investor: Anthropic may never publish ARR again, was FCF-positive in Q3 with 75% compute on training — mjdramstead · 2026-10-16