Ultimate Agentic AI with AutoGen for Enterprise Automation : Design, Build, and Deploy Enterprise-Grade AI Agents Using LLMs and AutoGen to Power Intelligent, Scalable Enterprise Automation (English Edition).

Format:

Book

Author/Creator:

Shekhar Agrawal, Srinivasa Sunil Chippada.

Language:

English

Subjects (All):

Artificial intelligence.

Enterprise application integration (Computer systems).

Physical Description:

1 online resource (226 pages)

Edition:

1st ed.

Place of Publication:

Delhi : Orange Education PVT Ltd, 2025.

Summary:

In an era where artificial intelligence is transforming enterprises, Large Language Models (LLMs) are unlocking new frontiers in automation, augmentation, and intelligent decision-making. Ultimate Agentic AI with AutoGen for Enterprise Automation bridges the gap between foundational AI concepts and hands-on implementation, empowering professionals to build scalable and intelligent enterprise agents. The book begins with the core principles of LLM agents and gradually moves into advanced topics such as agent architecture, tool integration, memory systems, and context awareness. Readers will learn how to design task-specific agents, apply ethical and security guardrails, and operationalize them using the powerful AutoGen framework. Each chapter includes practical examples--from customer support to internal process automation--ensuring concepts are actionable in real-world settings. By the end of this book, you will have a comprehensive understanding of how to design, develop, deploy, and maintain LLM-powered agents tailored for enterprise needs. Whether you're a developer, data scientist, or enterprise architect, this guide offers a structured path to transform intelligent agent concepts into production-ready solutions. Start building the next generation of enterprise AI agents with AutoGen--today.

Contents:

Cover Page

Title Page

Copyright Page

Dedication Page

About the Authors

About the Technical Reviewer

Acknowledgements

Preface

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Errata

Table of Contents

1. Introduction to LLM Agents (Foundation and Impact)

Introduction

Structure

Understanding LLM Agents

Definition and Core Capabilities

Evolution from Traditional AI

Key Components and Architecture

The Enterprise Impact

Transformation of Business Processes

Automating Complex Workflows

Augmenting Human Capabilities

Enabling New Business Models

Real-World Applications

Customer Support

Document Processing

Research and Analysis

Measuring ROI and Business Value

Importance of Agentic Systems

Horizontal Scalability Generated by AI.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

93-498-8886-6

93-498-8895-5

OCLC:

1526862468