Agentic AI Engineering: Systems That Reason and Act Autonomously – Designing, Building, and Prompting LLM-Based Agents for Real-World Deployment
by Hyun Erwin
Agentic AI Engineering introduces the principles and practices behind systems that reason and act autonomously. It covers designing, building, and prompting LLM-based agents, providing a focused guide to the engineering challenges of developing agentic AI for real-world deployment.
About This Book
Agentic AI Engineering explores the development of systems that use large language models to reason, make decisions, and take action.
The book focuses on designing and building LLM-based agents, with attention to the engineering considerations involved in creating autonomous systems.
It also addresses prompting as a core part of agent development, connecting prompt design with system behavior and performance.
Written for readers interested in real-world deployment, this title presents agentic AI engineering as a practical technology discipline.
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