AI Engineering In Practice: Multi-Agent System, RAG, MCP, and LLMs (Paperback) (ISBN-13: 9798286260560)

Build Smarter AI Systems--from Blueprint to Production

AI Engineering in Practice is your hands-on guide to designing, building, and deploying intelligent systems using Multi-Agent Architectures, Retrieval-Augmented Generation (RAG), the Model Context Protocol (MCP), and Large Language Models (LLMs).

Whether you're a machine learning engineer, AI product lead, or aspiring technical founder, this book gives you practical tools, proven design patterns, and expert insights to go beyond theory and deliver real-world AI solutions.

What You'll Learn:

- How to build and orchestrate multi-agent systems with context-aware collaboration
- Step-by-step RAG workflows using external knowledge sources
- Techniques for effective prompt engineering and managing LLM output
- Applying MCP to structure intelligent communication between agents
- Real-world case studies from enterprise AI deployments

This Book Is For:

- AI engineers and software developers
- Data scientists transitioning into AI productization
- Technical PMs and architects building scalable LLM-powered applications

Includes diagrams, code templates, performance metrics, and best practices. No fluff--just actionable AI engineering knowledge.

Author: Noa Stride
ISBN-13: 9798286260560
Publisher: Independently Published
Language: English
Published: 06/02/2025
Pages: 158
Format: Paperback
Weight: 0.84lbs
Size: 11.00h x 8.50w x 0.34d