AI Engineering
O'Reilly · 2025
Practical reference for building applications on top of foundation models — model selection, evaluation, deployment, and product patterns.
The Stack
reading listBooks, talks, and references I use for AI systems, production engineering, and interview preparation. Inspired by Chip Huyen's Books page.
Books
Designing Machine Learning Systems
O'Reilly · 2022
System-design view of ML in production: data pipelines, features, training loops, model monitoring, reliability, and iteration under real constraints.
Machine Learning Interviews
Chip Huyen · 2021
Interview preparation covering ML fundamentals, system design, practical judgment, and hiring-process expectations for ML engineering roles.
Videos & Courses
Chip Huyen's Talks
YouTube
Practical talks on ML systems design, feature stores, and building production-grade AI applications at scale.
The Missing Semester
MIT CSAIL
Practical crash course on shell tools, version control, debugging, profiling, and metaprogramming — all the stuff CS degrees skip.
Destroy All Software
Gary Bernhardt · Screencasts
Deep dives into Unix, programming principles, testing, and software design. Densest 10 minutes of learning per dollar on the internet.