AI Engineering: Building Applications with Foundation Models

AI Engineering: Building Applications with Foundation Models is a hands-on guide to designing, deploying, and scaling modern AI applications built on large language models and foundation models. Chip Huyen bridges the gap between AI research and real-world production systems, focusing on practical engineering decisions rather than theory alone.

The book covers application architecture, model integration, data pipelines, cost optimization, and performance trade-offs. It dives into key topics such as prompt engineering, retrieval-augmented generation (RAG), fine-tuning strategies, evaluation, monitoring, and responsible AI practices.

This is an essential read for software engineers, ML engineers, product builders, and founders who want to turn powerful AI models into reliable, production-ready applications.