GoKawiilNew Colab series teaches LLM engineering skills using raw APIs, no frameworks
A free set of runnable Colab notebooks called AI Engineer Notebooks has been released to teach applied LLM engineering skills like RAG, agents, evals, fine-tuning, and serving. The curriculum deliberately avoids frameworks like LangChain or LlamaIndex, instead having learners build agent loops and retrieval pipelines from raw API calls using the free Groq API. Two GPU-heavy topics, LoRA fine-tuning and self-hosted serving, include optional appendices tested on Colab's free T4 GPU.
GoKawiil's interpretation of the reporting above, not reported fact.
Many AI engineering courses lean heavily on abstraction layers that obscure how systems actually work, leaving developers unable to debug or judge when a framework is the wrong tool. By forcing learners to write core logic themselves and prioritize evaluation before optimization, this resource targets the practical skill gap that companies hiring for applied AI and forward-deployed engineering roles often complain about.
- The notebooks avoid LLM frameworks, requiring learners to build RAG and agent loops from raw API calls
- Everything is free to run via the Groq API, with GPU-dependent topics using optional Colab T4 appendices
- Three real-world case studies cover production debugging, cost comparisons, and red-team robustness testing
Build a Large Language Model (From Scratch) by Sebastian Raschka — If framework-free, raw-API learning is your style, Raschka's book is the same philosophy applied one layer deeper: you build the model itself step by step in plain PyTorch. It pairs perfectly with Colab notebooks on RAG, agents, and evals, giving you the mental model behind the APIs you're calling.
See Build a Large Language Model (From Scratch) by Sebastian Raschka on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: github.com, 2026-08-27
Published there as: “AI Engineer Notebooks – free, framework-free RAG/agents/evals on Colab”
Read the original report → The summary and analysis above are GoKawiil's own, written from reporting by the source above. Facts and quotes belong to the original publisher.