Choose it when you prefer free, hands-on tutorials over a book-centric companion.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
- 37.5k
- Jupyter Notebook
- MIT
AI engineering education/resources
Repository with resources and supporting materials for Chip Huyen's book 'AI Engineering' (2025), covering end-to-end adaptation of foundation models to real-world problems.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose it when you prefer free, hands-on tutorials over a book-centric companion.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Choose it when your focus is training and debugging large models rather than building applications with foundation models.
Machine Learning Engineering Open Book
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Choose it when you need a concise system-design and evals checklist rather than a broad book.
AI system design guide for engineers building production AI systems and evals.
Choose it when you want the mathematical and architectural foundations of LLMs instead of application engineering.
A book for Learning the Foundations of LLMs
Choose it for a hands-on course on building agents, a narrower slice of AI engineering.
This repository contains the Hugging Face Agents Course.
Choose it when you need a focused, interactive prompt-engineering tutorial rather than a general book.
Anthropic's Interactive Prompt Engineering Tutorial
Choose it to learn LLM inference systems by building a minimal one, for systems engineers.
learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen
These projects were analysed and named aie-book among their alternatives. The relationship is not symmetric — how aie-book rates them is a separate judgement, made when aie-book is analysed in its own right.
calls aie-book “For engineers wanting a broader, product-oriented AI engineering book instead of a training-focused command cookbook.”
Machine Learning Engineering Open Book