AI Engineering

Huyen writes the book that treats machine learning as an engineering discipline rather than a research project or business buzzword. The focus is on building reliable ML systems in production — data pipelines, model deployment, monitoring, the unglamorous infrastructure work that separates experiments from products. For product directors this fills a crucial gap: most AI books focus on strategy or theory, but product decisions depend on understanding what is actually hard about building these systems at scale. Huyen brings practitioner credibility from her work at major tech companies, and the timing captures the moment when AI moves from prototype to production discipline. Essential reading for anyone directing products that will integrate ML capabilities, which is increasingly everyone.