---
product_id: 674049154
title: "LLM Engineer's Handbook: Master the art of engineering large language models from concept to production"
brand: "paul iusztin, maxime labonne, julien chaumond"
price: "₱10510"
currency: PHP
in_stock: true
reviews_count: 5
url: https://www.desertcart.ph/products/674049154-llm-engineers-handbook-master-the-art-of-engineering-large-language
store_origin: PH
region: Philippines
---

# LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

**Brand:** paul iusztin, maxime labonne, julien chaumond
**Price:** ₱10510
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** LLM Engineer's Handbook: Master the art of engineering large language models from concept to production by paul iusztin, maxime labonne, julien chaumond
- **How much does it cost?** ₱10510 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.ph](https://www.desertcart.ph/products/674049154-llm-engineers-handbook-master-the-art-of-engineering-large-language)

## Best For

- paul iusztin, maxime labonne, julien chaumond enthusiasts

## Why This Product

- Trusted paul iusztin, maxime labonne, julien chaumond brand quality
- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Description

Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices
Key Features: - Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning
- Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production
- Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications
Book Description
Artificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin that's cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems.
Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects.
By the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively.
What you will learn
- Implement robust data pipelines and manage LLM training cycles
- Create your own LLM and refine it with the help of hands-on examples
- Get started with LLMOps by diving into core MLOps principles such as orchestrators and prompt monitoring
- Perform supervised fine-tuning and LLM evaluation
- Deploy end-to-end LLM solutions using AWS and other tools
- Design scalable and modularLLM systems
- Learn about RAG applications by building a feature and inference pipeline
Who this book is for
This book is for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. Basic knowledge of LLMs and the Gen AI landscape, Python and AWS is recommended. Whether you are new to AI or looking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios.
Table of Contents
- Undersstanding the LLM Twin Concept and Architecture
- Tooling and Installation
- Data Engineering
- RAG Feature Pipeline
- Supervised Fine-tuning
- Fine-tuning with Preference Alignment
- Evaluating LLMs
- Inference Optimization
- RAG Inference Pipeline
- Inference Pipeline Deployment
- MLOps and LLMOps
- Appendix: MLOps Principles

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #68 in Computer Science |
| Dimensions | 19.05 x 3 x 23.5 cm |
| Edition | Standard Edition |
| Isbn 10 | 1836200072 |
| Isbn 13 | 978-1836200079 |
| Item Weight | 954 g |
| Language | English |
| Print Length | 522 pages |
| Publication Date | 22 October 2024 |
| Publisher | Packt Publishing Limited |

## Images

![LLM Engineer's Handbook: Master the art of engineering large language models from concept to production - Image 1](https://m.media-amazon.com/images/I/71C2Wlmta-L.jpg)

## Available Options

This product comes in different **Format** options.

## Customer Reviews

### ⭐⭐ Ok book + horrible Packt service
*by  on Reviewed in Canada 25 December 2024*

The book is ok (not bad), however the Packt service is horrible - they mention in the book that you get free pdf download - and it has been constant back and forth and I have not received the download link. I personally will stay away from Packt books - I believe Manning and O'Reilly usually have much better books and better service.

### ⭐⭐⭐⭐⭐ MLOps /LLMOps n'est plus un secret
*by  on Reviewed in France 17 November 2024*

Je recommande ce livre. Ce livre vous accompagne et vous guide de bout en bout dans votre projet LLMOPS

### ⭐⭐⭐⭐⭐ Junior software engineer to AI engineer
*by  on Reviewed in the United States 5 August 2025*

International transport with Amazon is good, my order has damage a little bit (95%+ is good). I buy 3 best seller books for AI Engineer, these are good to open mind to people who don’t have background in AI engineer. They explain from basic to give better understanding to grapes information how AI systems production.

## Frequently Bought Together

- LLM Engineer's Handbook: Master the art of engineering large language models from concept to production
- Build a Large Language Model (From Scratch)
- AI Engineering: Building Applications with Foundation Models

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*Product available on Desertcart Philippines*
*Store origin: PH*
*Last updated: 2026-08-30*