Library / Artificial Intelligence

Java for Autonomous with Agentic AI Systems

On Udemy

About this course

Unlock the power of Java to build the next generation of autonomous AI applications. This comprehensive hands-on course is designed for developers, software engineers, students, and AI enthusiasts who want to combine Java programming with modern autonomous AI concepts to create intelligent, goal-driven systems.

Throughout this course, you will learn how Java serves as a reliable and scalable foundation for developing AI-powered autonomous applications. Starting with Java fundamentals required for AI development, you will gradually explore autonomous agents, reasoning workflows, decision-making, task planning, memory management, tool integration, and AI orchestration techniques.

The course emphasizes practical implementation through real-world projects and coding exercises. You will build autonomous AI systems capable of analyzing information, making decisions, interacting with APIs, automating workflows, and collaborating with external services. You will also learn how to integrate Large Language Models (LLMs), AI frameworks, REST APIs, databases, and cloud-based services into Java applications.

In addition, you'll discover best practices for designing scalable, secure, and maintainable AI systems using Java. Topics such as prompt engineering, retrieval-augmented generation (RAG), multi-agent architectures, monitoring, debugging, testing, and deployment are introduced with practical examples to help you build production-ready autonomous AI applications.

By the end of this course, you will have the confidence to develop intelligent Java-based autonomous systems that can solve complex problems, automate business processes, and power innovative AI solutions across multiple industries.

Whether you're expanding your Java expertise or beginning your journey into autonomous AI development, this course provides the practical skills and knowledge needed to build modern AI-driven software from the ground up.

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