---
product_id: 684176059
title: "AI Engineering: Building Applications with Foundation Models"
price: "$561547"
currency: COP
in_stock: true
reviews_count: 13
url: https://www.desertcart.co/products/684176059-ai-engineering-building-applications-with-foundation-models
store_origin: CO
region: Colombia
---

# Concise AI engineering guide Focus on foundational AI concepts Framework-agnostic, theory-driven AI Engineering: Building Applications with Foundation Models

**Price:** $561547
**Availability:** ✅ In Stock

## Summary

> 📚 Unlock AI mastery with the blueprint for tomorrow’s tech leaders

## Quick Answers

- **What is this?** AI Engineering: Building Applications with Foundation Models
- **How much does it cost?** $561547 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.co](https://www.desertcart.co/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
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## Key Features

- • **Highly Rated & Trusted:** Join 574+ readers who gave it a 4.6-star rating—your AI bookshelf essential.
- • **Structured Learning, Zero Fluff:** A streamlined, well-organized resource that respects your time and intelligence.
- • **Ideal for Cross-Disciplinary Pros:** Perfect for engineers, data scientists, and product leaders aiming to lead AI initiatives confidently.
- • **Stay Ahead Without Chasing Trends:** Focus on enduring principles rather than fleeting technical fads—future-proof your AI knowledge.
- • **Master AI Foundations with Clarity:** Cut through the noise with a clear, digestible guide that builds lasting conceptual understanding.

## Overview

AI Engineering: Building Applications with Foundation Models by Chip Huyen is a top-ranked, highly rated book that distills complex AI engineering concepts into a clear, theory-driven guide. It empowers professionals across disciplines to build durable AI knowledge without getting lost in fast-changing code or tools, making it an essential resource for mastering foundational AI principles.

## Description

Harness the power of AI engineering to create innovative applications, even with limited AI experience, by leveraging readily available foundation models.

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: A Clear, Concise Guide to Mastering AI Engineering - 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.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | 5,368 in Books ( See Top 100 in Books ) 29 in Computer Science (Books) 69 in Engineering & Technology |
| Customer reviews | 4.6 4.6 out of 5 stars (610) |
| Dimensions  | 17.53 x 2.79 x 22.86 cm |
| ISBN-10  | 1098166302 |
| ISBN-13  | 978-1098166304 |
| Item weight  | 930 g |
| Language  | English |
| Print length  | 532 pages |
| Publication date  | 20 Dec. 2024 |
| Publisher  | O'Reilly Media |

## 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.

### ⭐⭐⭐⭐⭐ 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.

### ⭐⭐⭐⭐⭐ comprehensive approach to designing AI systems
*by M***T on 15 July 2025*

Excellent information and a comprehensive and structured approach.

## 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)

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*Product available on Desertcart Colombia*
*Store origin: CO*
*Last updated: 2026-02-20*