Hermes AI Engineering : A Practical Guide to Building Autonomous AI Agents for Real-World Applications
Language: English
Published by Amazon Digital Services LLC - Kdp Aug 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 43.06
Quantity: 2 available
Add to basketItem description from seller
Neuware - Hermes AI Engineering: A Practical Guide to Building Autonomous AI Agents for Real-World Applications Have you ever built an AI agent that worked perfectly in a demo but failed when solving real-world problems Or struggled to connect language models, memory, tools, APIs, and workflows into a reliable system If you're ready to build AI agents that go beyond simple chatbots, this book is for you. Autonomous AI is transforming the way software is built. Modern AI agents can reason, plan, use tools, retrieve knowledge, and complete complex tasks with minimal human input. Building these systems, however, requires more than prompt engineering. It requires the right architecture, memory, orchestration, security, and deployment strategies. Hermes AI Engineering is a practical guide that teaches developers, AI engineers, software architects, and technology professionals how to build production-ready autonomous AI agents. Through clear explanations, real-world examples, and practical implementation techniques, you'll learn how to design intelligent systems that are reliable, scalable, and ready for real-world applications. Inside This Book, You'll Learn How To: - Build modern autonomous AI agents from the ground up.- Design systems for reasoning, planning, memory, and execution.- Integrate APIs, databases, external tools, and Retrieval-Augmented Generation (RAG).- Develop collaborative multi-agent systems and implement the Model Context Protocol (MCP).- Test, monitor, optimize, secure, and deploy AI applications for production.>Why This Book Is Different Rather than focusing on isolated AI techniques, this book takes a systems-first approach. You'll learn how every component works together to create intelligent agents that are reliable, maintainable, and capable of solving real business problems. Who Should Read This Book Perfect for software developers, AI engineers, machine learning practitioners, solution architects, automation engineers, computer science students, and anyone interested in building modern AI systems. Why You Shouldn't Wait Autonomous AI agents are rapidly becoming an essential part of modern software. Organizations everywhere are investing in intelligent automation, and professionals with these skills are in high demand. Learning these technologies now will help you stay ahead as AI continues to reshape the future of software development. Take the Next Step Stop building AI agents that only work in demonstrations. Learn how to create intelligent systems that reason, remember, use tools, and solve real-world problems with confidence. Get your copy of Hermes AI Engineering today and start building autonomous AI agents that are ready for production.…
Seller Inventory # 9798191112022
- Title
- Hermes AI Engineering : A Practical Guide to Building Autonomous AI Agents for Real-World Applications
- Author
- Donnell Watkins
- Publisher
- Amazon Digital Services LLC - Kdp Aug 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798191112022
- Item weight
- 798 grams
- Dimensions
- 244x170x26 mm
Have you ever built an AI agent that worked perfectly in a demo but failed when solving real-world problems? Or struggled to connect language models, memory, tools, APIs, and workflows into a reliable system? If you're ready to build AI agents that go beyond simple chatbots, this book is for you.
Autonomous AI is transforming the way software is built. Modern AI agents can reason, plan, use tools, retrieve knowledge, and complete complex tasks with minimal human input. Building these systems, however, requires more than prompt engineering. It requires the right architecture, memory, orchestration, security, and deployment strategies.
Hermes AI Engineering is a practical guide that teaches developers, AI engineers, software architects, and technology professionals how to build production-ready autonomous AI agents. Through clear explanations, real-world examples, and practical implementation techniques, you'll learn how to design intelligent systems that are reliable, scalable, and ready for real-world applications.
Inside This Book, You'll Learn How To:
- Build modern autonomous AI agents from the ground up.
- Design systems for reasoning, planning, memory, and execution.
- Integrate APIs, databases, external tools, and Retrieval-Augmented Generation (RAG).
- Develop collaborative multi-agent systems and implement the Model Context Protocol (MCP).
- Test, monitor, optimize, secure, and deploy AI applications for production.
- Build practical projects that reinforce every major concept.
Why This Book Is Different
Rather than focusing on isolated AI techniques, this book takes a systems-first approach. You'll learn how every component works together to create intelligent agents that are reliable, maintainable, and capable of solving real business problems.
Who Should Read This Book?
Perfect for software developers, AI engineers, machine learning practitioners, solution architects, automation engineers, computer science students, and anyone interested in building modern AI systems.
Why You Shouldn't Wait
Autonomous AI agents are rapidly becoming an essential part of modern software. Organizations everywhere are investing in intelligent automation, and professionals with these skills are in high demand. Learning these technologies now will help you stay ahead as AI continues to reshape the future of software development.
Take the Next Step
Stop building AI agents that only work in demonstrations. Learn how to create intelligent systems that reason, remember, use tools, and solve real-world problems with confidence.
Get your copy of Hermes AI Engineering today and start building autonomous AI agents that are ready for production.
"Synopsis" may belong to another edition of this title.
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