--- product_id: 684176059 title: "AI Engineering: Building Applications with Foundation Models" price: "€ 88.67" currency: EUR in_stock: true reviews_count: 13 url: https://www.desertcart.pt/products/684176059-ai-engineering-building-applications-with-foundation-models store_origin: PT region: Portugal --- # 4.6/5 rating from 779 reviews Top 20 in Computer Science Comprehensive AI engineering guide AI Engineering: Building Applications with Foundation Models **Price:** € 88.67 **Availability:** ✅ In Stock ## Summary > 🚀 Elevate your AI game — build smarter apps without the coding chaos! ## Quick Answers - **What is this?** AI Engineering: Building Applications with Foundation Models - **How much does it cost?** € 88.67 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.pt](https://www.desertcart.pt/products/684176059-ai-engineering-building-applications-with-foundation-models) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - • **Master the AI Stack:** Navigate foundation models, datasets, and evaluation benchmarks like a pro. - • **Optimize AI Deployment:** Overcome latency and cost bottlenecks with practical strategies. - • **Future-Proof Your Skills:** Learn cutting-edge techniques like prompt engineering, RAG, and fine-tuning. - • **Bridging the AI Knowledge Gap:** Perfect for tech-savvy pros who want AI insights without heavy coding. - • **Written by an Industry Insider:** Authored by Chip Huyen, a leader with experience at NVIDIA, Stanford, and startups. ## Overview AI Engineering: Building Applications with Foundation Models is a top-ranked, highly-rated book that demystifies AI application development for professionals. It offers a practical framework to leverage foundation models, covering everything from model selection to deployment optimization, authored by AI expert Chip Huyen. ## Description Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models. The book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. The more AI is used, the more opportunities there are for catastrophic failures, and therefore, the more important evaluation becomes. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach. AI application developers will discover how to navigate the AI landscape, including models, datasets, evaluation benchmarks, and the seemingly infinite number of use cases and application patterns. You'll learn a framework for developing an AI application, starting with simple techniques and progressing toward more sophisticated methods, and discover how to efficiently deploy these applications. Understand what AI engineering is and how it differs from traditional machine learning engineering Learn the process for developing an AI application, the challenges at each step, and approaches to address them Explore various model adaptation techniques, including prompt engineering, RAG, fine-tuning, agents, and dataset engineering, and understand how and why they work Examine the bottlenecks for latency and cost when serving foundation models and learn how to overcome them Choose the right model, dataset, evaluation benchmarks, and metrics for your needs Chip Huyen works to accelerate data analytics on GPUs at Voltron Data. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup, and taught Machine Learning Systems Design at Stanford. She's the author of the book Designing Machine Learning Systems, an desertcart bestseller in AI. AI Engineering builds upon and is complementary to Designing Machine Learning Systems (O'Reilly) . Review: The missing space between basics and coding - I was looking for an AI book that would be fit-for-purpose for someone with tech knowledge but did not want to code AI. Most of the books I found were either too basic (simplistic overviews) or too deep into the subject (how to actually code in a specific language) This book, for me, filled that missing space. It covered the introduction into AI well, forming, for me, a good understanding to how/what AI can do at present (with some history thrown in). Then it moved into deeper levels for a fuller appreciation of the environment. Its not a specific language/coding book - for that look elsewhere. However, you need to walk before you can run and I believe this book fills that space. Review: Probably the best book on the topic - Probably the best book on the topic ## Features - New Store Stock ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | 2,717 in Books ( See Top 100 in Books ) 19 in Computer Science (Books) 51 in Engineering & Technology | | Customer Reviews | 4.6 out of 5 stars 779 Reviews | ## Images ![AI Engineering: Building Applications with Foundation Models - Image 1](https://m.media-amazon.com/images/I/815KH9GjFTL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ The missing space between basics and coding *by R***J on 13 January 2026* I was looking for an AI book that would be fit-for-purpose for someone with tech knowledge but did not want to code AI. Most of the books I found were either too basic (simplistic overviews) or too deep into the subject (how to actually code in a specific language) This book, for me, filled that missing space. It covered the introduction into AI well, forming, for me, a good understanding to how/what AI can do at present (with some history thrown in). Then it moved into deeper levels for a fuller appreciation of the environment. Its not a specific language/coding book - for that look elsewhere. However, you need to walk before you can run and I believe this book fills that space. ### ⭐⭐⭐⭐⭐ Probably the best book on the topic *by P***S on 24 March 2026* Probably the best book on the topic ### ⭐⭐⭐⭐⭐ A Clear, Concise Guide to Mastering AI Engineering *by G***M on 16 July 2025* Chip Huyen’s AI Engineering: Building Applications with Foundation Models offers a concise yet comprehensive exploration of the core concepts that underpin modern AI engineering. In an era where AI tools, frameworks, and APIs evolve almost weekly, designing a coherent, durable book is no small feat—and Huyen succeeds admirably. The book is firmly grounded in theory, supported by clear diagrams that help illuminate complex ideas. While it doesn’t delve into code snippets or implementation-heavy examples, this feels like a deliberate choice rather than a shortcoming. The restraint in length is actually a strength: it makes the book more digestible, especially for readers who want to understand foundational principles without getting bogged down in fast-aging technical details. One of the biggest challenges in writing about AI today is the pace of change. Huyen avoids the trap of chasing trends and instead focuses on building conceptual clarity—something far more enduring. Whether you're a software engineer looking to transition into AI, a data scientist aiming to deepen your understanding of systems, or a product leader wanting to make more informed decisions, this book provides the scaffolding you’ll need. I couldn't recommend it more highly for anyone looking to master AI engineering or familiarize themselves with its essential concepts. This is a book you’ll want on your shelf—thoughtful, structured, and refreshingly free of unnecessary fluff. ## Frequently Bought Together - AI Engineering: Building Applications with Foundation Models - Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications - Build a Large Language Model (From Scratch) --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.pt/products/684176059-ai-engineering-building-applications-with-foundation-models](https://www.desertcart.pt/products/684176059-ai-engineering-building-applications-with-foundation-models) --- *Product available on Desertcart Portugal* *Store origin: PT* *Last updated: 2026-06-22*