---
product_id: 658892541
title: "AI Engineering: Building Applications with Foundation Models"
price: "¥19401"
currency: JPY
in_stock: true
reviews_count: 8
url: https://www.desertcart.jp/products/658892541-ai-engineering-building-applications-with-foundation-models
store_origin: JP
region: Japan
---

# AI Engineering: Building Applications with Foundation Models

**Price:** ¥19401
**Availability:** ✅ In Stock

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- **What is this?** AI Engineering: Building Applications with Foundation Models
- **How much does it cost?** ¥19401 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.jp](https://www.desertcart.jp/products/658892541-ai-engineering-building-applications-with-foundation-models)

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## Description

AI Engineering: Building Applications with Foundation Models [Huyen, Chip] on desertcart.com. *FREE* shipping on qualifying offers. AI Engineering: Building Applications with Foundation Models

Review: A superb technical guide. - This book is so incredibly well-organized and well-edited that it’s hard to believe it’s a first edition rather than a third or fourth. I love when authors invite readers to jump around and read chapters out of order; in this case, every section proved helpful. This book offers a clear and valuable overview of AI, I plan to keep it close at hand as a reference.
Review: Excellent Book. - I don't normally have the time for reviews anymore but I had to do one for this book. This book is excellent. The level of detail and range of topics was just right. With some books I've had to force myself to finish. This one kept me interested throughout the entire book and provided everything clearly. I'm more interested in usage of foundation models (LLM's, RAG, etc.) but the chapters on model pre-training/training/evaluation provided great detail. I'm looking forward to more works from Chip.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #2,770 in Books ( See Top 100 in Books ) #1 in Enterprise Applications #1 in Machine Theory (Books) #1 in Natural Language Processing (Books) |
| Customer Reviews | 4.6 out of 5 stars 648 Reviews |

## Images

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## Customer Reviews

### ⭐⭐⭐⭐⭐ A superb technical guide.
*by J***Y on December 6, 2025*

This book is so incredibly well-organized and well-edited that it’s hard to believe it’s a first edition rather than a third or fourth. I love when authors invite readers to jump around and read chapters out of order; in this case, every section proved helpful. This book offers a clear and valuable overview of AI, I plan to keep it close at hand as a reference.

### ⭐⭐⭐⭐⭐ Excellent Book.
*by D***N on November 19, 2025*

I don't normally have the time for reviews anymore but I had to do one for this book. This book is excellent. The level of detail and range of topics was just right. With some books I've had to force myself to finish. This one kept me interested throughout the entire book and provided everything clearly. I'm more interested in usage of foundation models (LLM's, RAG, etc.) but the chapters on model pre-training/training/evaluation provided great detail. I'm looking forward to more works from Chip.

### ⭐⭐⭐⭐⭐ The best intro to AI engineering I've encountered
*by S***N on November 5, 2025*

It's always daunting to pick up a technical book that's over 500 pages long or 21 hours long. However, this book did not disappoint. Not every section, of course, addressed my particular needs. However, the entire treatise was clearly communicated with a broader technical audience in mind. That should be no surprise because Chip Huyen, besides being an AI expert, taught graduate school classes in AI at Stanford and writes science fiction as a side hobby. This book is simply the best technical introduction I've encountered to date. The book starts with high-level concepts about AI, which would be accessible to all sorts of scientific folks. Then it focuses on technical topics that are of most interest to engineers. It does an excellent job of centering around concepts first and not being wedded to particular technologies which will soon change. I valued the insights so much that, after listening to the audiobook, I even bought a paper copy to have for a reference. I plan to continue to read about AI engineering, but given that I haven't taken formal coursework in the topic, this book served as an equivalent to a graduate school class to give me confidence to dive deeper. Although some math were presented, the audiobook was incredibly accessible, unlike with some technical books. For those who spend time commuting in cars, I recommend listening to the text if you don't have time to flip through a paper book. Overall, this book raised my game significantly about AI. Where other books obscure with technical jargon, this book enlightens with clear concepts. I still need to brush up on a few focused topics to ready myself for a project, but I'm much more fluent about the ideas than before. I highly recommend this in-depth introduction, at least for the next few years until the field outpaces our knowledge once again.

## 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 Japan*
*Store origin: JP*
*Last updated: 2026-02-21*