AI Engineering In Practice: Multi-Agent System, RAG, MCP, and LLMs - Brossura

Stride, Noa

 
9798286260560: AI Engineering In Practice: Multi-Agent System, RAG, MCP, and LLMs
Brossura
ISBN 13: 9798286260560
Casa editrice: Independently published, 2025

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
Independently published
Data di pubblicazione
2025
Lingua
Inglese
ISBN 13 
9798286260560
Rilegatura
Copertina flessibile
Numero di pagine
157
Contatto del produttore
non disponibile
Persona responsabile
non disponibile