Building the AI Engine: A Hands-On Guide to Building Scalable Infrastructure, Data Pipelines, and Model Lifecycle Systems for Generative and Agentic A

Name: Building the AI Engine: A Hands-On Guide to Building Scalable Infrastructure, Data Pipelines, and Model Lifecycle Systems for Generative and Agentic A
Brand: Independently Published
SKU: 9798249720629
Price: 1738.0 INR
Availability: InStock

by Max Morah

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ISBN13: 9798249720629
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: February 24, 2026
Pages: 294
Original Price: GBP 15.0
Language: English
Edition: N/A
Item Weight: 513 grams
BISAC Subject(s): Artificial Intelligence / Generative AI

About The Book

Build AI That Works - Not Just AI That Talks

AI is no longer just about models that generate text or predictions.

The real transformation is happening at the system level.

Today's most powerful AI solutions are not built around a single model - they are built as coordinated networks of intelligent agents that can reason, retrieve knowledge, make decisions, and execute tasks together.

Welcome to the world of Multi-Agent AI Systems.

Multi-Agent AI System Design is a practical guide for engineers, architects, builders, and forward-thinking professionals who want to move beyond simple GenAI demos and start building AI systems that actually work in production.

This book shows you how to design intelligent systems where:

AI agents collaborate instead of operating in isolation
Knowledge is retrieved dynamically using RAG
Decisions are structured through workflows
Tasks are executed through tools
Systems remain scalable, observable, and enterprise-ready

Instead of focusing on theory alone, this book takes a hands-on architectural approach - breaking down how modern AI platforms are built using coordinated agents powered by large language models.

You'll learn how to structure AI systems that can:

Plan tasks
Delegate responsibilities
Retrieve and reason over data
Execute actions
Monitor outcomes
Improve continuously

Who This Book Is For

This book is written for:

AI Engineers looking to build production-grade agent systems
Software Developers integrating GenAI into real applications
Solution Architects designing intelligent enterprise platforms
Data & ML Engineers working with RAG pipelines
Tech Leaders exploring scalable AI automation
Startups building AI-native products
Anyone ready to move from "AI prompts" to "AI systems"

If you already understand the potential of AI but want to learn how to build structured, reliable, and scalable solutions - this book is for you.

What You'll Learn

Design multi-agent architectures from the ground up
Build collaborative agent workflows
Integrate Retrieval-Augmented Generation (RAG)
Create tool-using and memory-aware agents
Implement planning and decision systems
Apply LLMOps principles for stability and scale
Design observable, governable AI systems for enterprise use

AI is evolving from assistance to execution.

The future belongs to systems that don't just respond - but coordinate, reason, and act.

Multi-Agent AI System Design gives you the blueprint to build them.

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