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Book synopsis

If you've been reading about AI, LLMs, and automation but still can't figure out how everything connects, this is the book that finally brings it all together. Whether you want to build AI agents, deploy multi-agent systems at scale, or master the new generation of agentic AI in Python, you don't have to guess anymore.

You've probably seen the hype-but nobody teaches the complete picture:

• How to choose the right architecture

• How real automation pipelines are built

• How AI agents communicate, plan, reason, and call tools

• How LangChain, LangGraph, and AutoGen actually fit together

This book gives you a practical, end-to-end guide to building real automation systems and multi agent systems in Python, without frustration or trial and error. You will learn using real projects, real code, and real deployment-not theory.

Inside, you'll learn how to:

• Master LangChain through hands-on projects and a step-by-step LangChain tutorial.

• Build complex LangGraph workflows, planning pipelines, and agent-driven execution models.

• Implement real business automation through AI automation in Python and AI workflow automation.

• Create intelligent conversation systems and tool-driven agents using AutoGen in a complete AutoGen Python guide.

• Build scalable, cloud-ready agent orchestration and deployment pipelines.

• Implement robust error handling, debugging, monitoring, and evaluation strategies.

You'll also learn the patterns behind:

• Real agent communication flows

• AI agent orchestration

• Role-based delegation systems

• Python tool calling agents

• Multi-step planning, routing, and reasoning

• Enterprise-grade integration and deployment workflows

Whether you're an engineer, Python developer, student, or automation architect, this book gives you everything you need to build AI agents from scratch and deploy real systems-not just prototypes.

In this book, you'll get:

• 3 full end-to-end automation projects

• Code architecture templates

• Framework comparisons and best practices

• Deployment patterns for cloud and production

• Real examples of LangChain, LangGraph, and AutoGen working together

The future of software is agent-driven. Don't get left behind.

Build the next generation of intelligent systems now-your journey starts here.

Book details

• Full title: AI Agents in Python
• Subtitle: Design Patterns, Frameworks, and End-to-End Projects with LangChain, LangGraph, and AutoGen
• Author: Aiden V. Thornwell
• Language: English
• Binding: Paperback
• Number of pages: 434
• EAN: 9798276410753
• ID: 50620121
• Publisher: Independently published
• Weight: 1001 g
• Dimensions: 280 × 216 × 22 mm
• Date of publishing: 27. November 2025

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