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

Agrawal, Shekhar; Chippada, Srinivasa Sunil; Mohan, Rathish; AVA, Orange

ISBN 10: 9349888955 / ISBN 13: 9789349888951

Published by Orange Education Pvt Ltd, 2025

About this Item

Seller Inventory # 26405762422

Bibliographic Details

• Title: 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
• Publisher: Orange Education Pvt Ltd
• Publication Date: 2025
• Language: English
• ISBN 10: 9349888955
• ISBN 13: 9789349888951
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Empowering Enterprises with Scalable, Intelligent AI Agents.

Book Description
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.

Table of Contents
1. Introduction to LLM Agents (Foundation and Impact)
2. Architecting LLM Agents (Patterns and Frameworks)
3. Building a Task-Oriented Agent using AutoGen
4. Integrating Tools for Enhanced Functionality
5. Context Awareness and Memory System
6. Designing Multi-Agent Systems
7. Evaluation Framework for Agents and Tools
8. Agent-Security, Guardrails, Trust, and Privacy
9. LLM Agents in Production
10. Use Cases for Enterprise LLM Agents
11. Advanced Prompt Engineering for Effective Agents
Index