AI Agents with Java [Book]

AI Agents with Java offers a deep dive into creating intelligent and autonomous systems for enterprise applications. It covers practical techniques and patterns for building AI agents using Java, tailored for software engineers and developers looking to harness the power of AI in their projects. With a focus on autonomous decision-making and orchestration, this book provides a comprehensive toolkit for implementing AI-driven solutions.

What You'll Learn

• How to orchestrate workflow agents for complex tasks
• Implementing the Supervisor Pattern in agent development
• Developing Goal Oriented Action Planning techniques
• Creating custom agentic patterns for specific needs
• Understanding hierarchical vs. peer-to-peer architectures in AI systems

Who This Book Is For

This book is designed for software developers, engineers, and system architects who are familiar with Java and are looking to integrate AI agents into enterprise applications. It assumes a working knowledge of Java programming and basic AI concepts.

What You Need to Know First

Readers should have a solid understanding of Java programming and basic AI principles. Familiarity with software design patterns will be beneficial.

Why This Book

Unlike other resources, this book focuses on practical implementation of AI agents using Java, providing clear examples and real-world scenarios. It emphasizes the use of patterns and architectures that align with enterprise requirements.

What's Inside

Written by Alex Soto Bueno, Markus Eisele, and Mario Fusco, and published by O'Reilly Media, Inc., this 125-page book contains chapters on workflow orchestration, pattern implementation, and agent architectures, offering a thorough exploration of AI agents in Java.