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The AI Engineering Bootcamp - by Greg Loughnane & Chris Alexiuk (Paperback)

The AI Engineering Bootcamp - by  Greg Loughnane & Chris Alexiuk (Paperback) - 1 of 1
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Highlights

  • An up-to-date and hands-on tutorial for building production-grade LLM applications In The AI Engineering Bootcamp: Build, Ship, Share, AI Makerspace co-founders "Dr. Greg" Loughnane and Chris "The Wiz" Alexiuk guide the reader through the foundational concepts and code needed to build production-grade Large Language Model (LLM) applications using leading open-source tooling.
  • Author(s): Greg Loughnane & Chris Alexiuk
  • Technology, Construction

Description



Book Synopsis



An up-to-date and hands-on tutorial for building production-grade LLM applications

In The AI Engineering Bootcamp: Build, Ship, Share, AI Makerspace co-founders "Dr. Greg" Loughnane and Chris "The Wiz" Alexiuk guide the reader through the foundational concepts and code needed to build production-grade Large Language Model (LLM) applications using leading open-source tooling. The book explains the four primary design patterns of generative AI--prompt engineering, Retrieval Augmented Generation (RAG), fine-tuning, and agentic reasoning--and how to leverage them as first principles to build scalable LLM applications that are high-performance and efficient.

You'll find classroom-tested lessons that offer immediate insights into building LLM applications, as well as example projects to give you hands-on experience that can be immediately applied within our company or with your clients today. The AI Engineering Bootcamp provides everything you need, from your initial AI-assisted Interactive Development Environment (IDE) set up and first deployment to the boilerplate Python code you need to prototype LLM, RAG, agent, and multi-agent applications. The book also covers how to prepare your prototypes for production by setting up open-source LLM and embedding model endpoints, leveraging caching for prompts and embeddings, what you need to host and deploy your application on premise, and more! Of course, the book also includes a discussion of how to leverage emerging protocols, including Model Context Protocol (MCP) and Agent2Agent protocol, which have taken the agent landscape by storm in 2025. While the authors provide an opinionated view of the best-practice open-source tooling based on the current landscape, throughout this book, you will avoid vendor lock-in to any specific Cloud Service Provider (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure).

You'll also discover:

  • An authoritative examination of the core design pattern of in-context learning that underlies all modern AI apps and AI development
  • Hands-on tutorials offering practical know-how into building an LLM app in the real-world
  • A list of essential definitions and vocabulary that frequently come up in LLM software development

Perfect for software engineers and data scientists who aim to become AI Engineers, The AI Engineering Bootcamp is a can't-miss resource for practitioners who want to build and ship production-grade LLM applications. Conceptually, this book can also be quite useful for technical product managers or AI Engineering leaders aiming to guide their teams' development efforts.

Suggested Age: 22 Years and Up
Sub-Genre: Construction
Genre: Technology
Publisher: Wiley
Theme: General
Format: Paperback
Author: Greg Loughnane & Chris Alexiuk
Language: English
Street Date: February 3, 2026
TCIN: 1002293868
UPC: 9781394324057
Item Number (DPCI): 247-36-3075
Origin: Made in the USA or Imported
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Estimated ship dimensions: 1 inches length x 1 inches width x 1 inches height
Estimated ship weight: 1 pounds
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