AI Engineering: Building Applications with Foundation Models

Received new book

The shipment received really damaged

كتاب رائع تغليف جيد والورق والكتابه واضحه سرعه بشحن وتوصيل المعلومات فيه قيمه جدا جدا دخفت دورات كثير ماأستفدت زي هذا الكتاب أنصح فيه وبشده مممتع جدا وسهل الفهم

The central idea of the book is that foundation models have become so powerful and expensive to build that, instead of training models, many organizations might be better off creating applications on top of them. The book covers evaluation, guardrails, security, finetuning, context construction, inference optimization, user feedback and architecture. The level of detail is excellent: we're looking under the hood just enough to understand what's going on, but keep that high level perspective that allows the book to give a overview of a broad topic in just 500 pages. I highly recommended this book to engineers looking for an overview of AI engineering — as opposed to ML engineering, which might be too low-level for them and be more relevant for data scientists.

Fantastic book and great and timely delivery

If you feel like the ground is shifting beneath your feet as an engineer, you aren't imagining it and Chip Huyen’s AI Engineering is one of the best guides to make sense of the chaos. Our February 2026 Data & AI Book Club recently dissected this book, and the consensus was clear; it’s a manual for the new reality of software development. Whether you are a seasoned architect or a developer just starting to integrate agentic workflows, this book provides the framework to stay relevant. It’s not just about learning tools; it’s about understanding the shift in economics and strategy that defines the current year. AI is a fast evolving space and so much has already happened since the book was published. We look forward to a second edition that includes AI engineering with vibe coding, AI platforms and multi agent systems.

A solid introduction to LLMs and AI engineering. The book explains key concepts well and gives a good overview of how modern AI systems are built and used. Some parts may feel a bit challenging for non-technical readers, but it’s still approachable and worth the read if you’re interested in the field.