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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Dive into Agentic AI Engineering, a detailed guide on designing, building, and prompting LLM-based agents that reason and act autonomously. Perfect for real-world deployment, this book equips you with the skills to create intelligent systems that operate independently in dynamic settings. Explore engineering practices for robust AI autonomy.

About This Book

Agentic AI Engineering explores the creation of autonomous systems powered by large language models. This book provides essential knowledge on designing agents that can reason and act independently in complex environments.

Readers will discover practical techniques for building and prompting these AI agents. The focus is on real-world deployment, ensuring systems are robust and effective in practical scenarios.

From foundational concepts to advanced implementation, the guide covers the full lifecycle of agent development. It emphasizes engineering principles tailored to AI autonomy and decision-making.

This resource is ideal for professionals seeking to integrate agentic AI into their projects. It offers insights into overcoming challenges in autonomous system engineering.

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I will be using this book for: