Agentic AI Engineering: Systems That Reason and Act Autonomously – Designing, Building, and Prompting LLM-Based Agents for Real-World Deployment
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Agentic AI Engineering: Systems That Reason and Act Autonomously – Designing, Building, and Prompting LLM-Based Agents for Real-World Deployment

by Hyun Erwin

artificial intelligence Machine Learning Software Engineering
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Agentic AI Engineering introduces the design, building, and prompting of LLM-based agents. It examines systems intended to reason and act autonomously, with an emphasis on engineering approaches for moving agentic AI from concepts toward real-world deployment.

About This Book

Agentic AI Engineering focuses on systems that use large language models to reason and act with a degree of autonomy.

The book covers the design and construction of LLM-based agents, with attention to how these systems are developed for practical use.

It also addresses prompting as a core part of agent engineering, connecting instructions with an agent’s ability to perform tasks.

Written for readers interested in real-world deployment, the book presents agentic AI engineering as a combination of system design, implementation, and prompting.

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I will be using this book for: