AI Engineer Notebooks – free, framework-free RAG/agents/evals on Colab
A new set of free, framework-free Colab notebooks has been released to help engineers learn the applied-LLM stack by building systems from scratch. The curriculum focuses on raw API usage for RAG, agents, and evals to provide a deeper understanding of AI engineering.
Why it matters
As AI development becomes more commoditized, understanding the underlying mechanics of LLM integration is becoming a vital skill for software engineers.
Learn the applied-LLM stack the way you'll actually be interviewed on it — framework-free, on a free API, from prompting all the way to serving, fine-tuning, and a red-team benchmark.
Runnable Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set: building working systems on top of foundation models — model APIs, RAG, evals, agents, adaptation, serving — using raw APIs, not frameworks.
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