AI for developers and engineers
Move from app developer to AI builder. A free, applied path through the Python libraries, APIs, and deployment patterns that matter — skipping the basics you already know.
Start free — build my pathTakes about 60 seconds. No credit card. Already a member? Start this path →
Applied, not academic
Libraries, APIs, RAG, and deployment — the parts you'll actually ship.
Every link is real & free
Vetted free courses and tutorials from sources like DeepLearning.AI, Google, Microsoft, and Coursera — checked for dead links, no paywalls.
A path, not a pile
A short, sequenced plan tailored to your time and goals — so you actually finish, not just bookmark.
What your path looks like
- 1
Foundations for builders
- ML concepts for engineers
- Python AI stack (NumPy → PyTorch)
- Working with pretrained models
- 2
Build with LLMs
- LLM APIs & prompting in code
- Embeddings & RAG
- Evaluating model output
- 3
Ship it
- Serving & deploying models
- Cost, latency & guardrails
- MLOps basics
Your real path is personalized to your time, goals, and preferred way to learn.