LLM Engineer. Build, Fine-Tune, and Deploy Production-Grade AI Applications with Python and Modern LLMs (en Inglés) - RICHARD BOOZMAN

Large language models are redefining how software is built.

From intelligent assistants to automated workflows and AI driven products, LLMs are becoming a core part of modern applications. But building reliable, scalable systems with them requires more than simple API calls.

"LLM Engineer" is a practical, end to end guide to designing, building, fine tuning, and deploying production grade AI applications using Python and modern large language models.

This book focuses on real engineering practices that turn prototypes into scalable AI systems.

Working with LLMs introduces new challenges:

This book teaches you how to handle these challenges with proven approaches.

Throughout the book, you will learn how to:

Each chapter focuses on practical engineering decisions.

These examples reflect real use cases in modern software.

If you want to move beyond experimentation and build production ready AI applications, this book provides the roadmap.

Design intelligently.
Build reliably.
Deploy AI at scale.