What do you think?
Rate this book
Agentic AutoGen: Integrate AutoGen with LangChain, OpenAI, and Azure for Agentic Intelligence
Agentic AI is redefining automation by introducing intelligent agents that can think, plan, and act autonomously. At the heart of this revolution is AutoGen, an open-source framework by Microsoft that enables developers to orchestrate large language models (LLMs) as structured, communicative agents. Whether you're building task-specific assistants, autonomous research agents, or multi-agent collaboration tools, AutoGen is your launchpad into the future of intelligent systems.
Written by an expert in AI development and agent orchestration, Agentic AutoGen distills real-world applications and enterprise-grade best practices into a practical guide. Backed by industry-leading tools like OpenAI’s GPT-4, LangChain, and Azure Functions, this book draws on deep experience in deploying secure, scalable, and intelligent agentic architectures. It has been reviewed, refined, and field-tested for developers, architects, and AI engineers at all levels.
Agentic AutoGen is a hands-on, structured tutorial for designing, building, and deploying powerful LLM-based agents. From foundational concepts like assistant and user proxy agents to advanced orchestration with LangChain tools and Azure cloud infrastructure, this book covers the entire development lifecycle. Readers will master multi-agent coordination, prompt chaining, error handling, function calling, and real-world deployment strategies—without unnecessary fluff.
Deep dive into AutoGen’s core architecture and node structure
Integration guides for LangChain, OpenAI, and Azure OpenAI
Tutorials on building multi-agent systems and scalable workflows
Projects including a Code Generation Agent and Research Agent
Step-by-step deployment with Azure Functions and monitoring tools
Glossary, troubleshooting, and reusable prompt templates
Real-world function node examples and advanced configuration patterns
This book is ideal for AI engineers, Python developers, cloud architects, and tech-savvy entrepreneurs who want to build autonomous agent systems using modern LLM frameworks. Whether you're a startup founder prototyping agent workflows or a senior developer deploying intelligent assistants at scale, this guide delivers practical value and architectural insight.
You don't need months of research or trial-and-error to master AutoGen. With a clear structure, concise tutorials, and modular project breakdowns, this book compresses what would take weeks of experimentation into one streamlined, results-focused read. You'll be building production-ready agent systems in hours, not days.
If you're serious about creating autonomous AI systems that work in the real world, Agentic AutoGen is your blueprint.
Buy now and learn how to integrate AutoGen, LangChain, and OpenAI into powerful agent workflows—deployed, optimized, and production-ready.
Unlock the future of intelligent automation—start building with agents today!
Written by an expert in AI development and agent orchestration, Agentic AutoGen distills real-world applications and enterprise-grade best practices into a practical guide. Backed by industry-leading tools like OpenAI’s GPT-4, LangChain, and Azure Functions, this book draws on deep experience in deploying secure, scalable, and intelligent agentic architectures. It has been reviewed, refined, and field-tested for developers, architects, and AI engineers at all levels.
Agentic AutoGen is a hands-on, structured tutorial for designing, building, and deploying powerful LLM-based agents. From foundational concepts like assistant and user proxy agents to advanced orchestration with LangChain tools and Azure cloud infrastructure, this book covers the entire development lifecycle. Readers will master multi-agent coordination, prompt chaining, error handling, function calling, and real-world deployment strategies—without unnecessary fluff.
Deep dive into AutoGen’s core architecture and node structure
Integration guides for LangChain, OpenAI, and Azure OpenAI
Tutorials on building multi-agent systems and scalable workflows
Projects including a Code Generation Agent and Research Agent
Step-by-step deployment with Azure Functions and monitoring tools
Glossary, troubleshooting, and reusable prompt templates
Real-world function node examples and advanced configuration patterns
This book is ideal for AI engineers, Python developers, cloud architects, and tech-savvy entrepreneurs who want to build autonomous agent systems using modern LLM frameworks. Whether you're a startup founder prototyping agent workflows or a senior developer deploying intelligent assistants at scale, this guide delivers practical value and architectural insight.
You don't need months of research or trial-and-error to master AutoGen. With a clear structure, concise tutorials, and modular project breakdowns, this book compresses what would take weeks of experimentation into one streamlined, results-focused read. You'll be building production-ready agent systems in hours, not days.
If you're serious about creating autonomous AI systems that work in the real world, Agentic AutoGen is your blueprint.
Buy now and learn how to integrate AutoGen, LangChain, and OpenAI into powerful agent workflows—deployed, optimized, and production-ready.
Unlock the future of intelligent automation—start building with agents today!
266 pages, Kindle Edition
Published July 6, 2025
1 person is currently reading
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
No one has reviewed this book yet.