AI Agents in Java with Generative AI

Vanderbilt develops agent concepts through Java rather than requiring a switch to Python. Tools, actions and language lead into a conceptual framework and tool management. The course is a foundation for Java developers interested in how a language model participates in software behavior.

What you will learn

• Explain tools and actions in a Java agent workflow.
• Organize an agent around explicit responsibilities.
• Recognize differences between model-driven and conventional application behavior.

Who this suits

Java learners with intermediate knowledge, or developers able to learn another language quickly.

Before you enroll

The provider labels the course beginner while expecting Java experience. Check model-service setup and keep external actions bounded when adapting an example.

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Put it into practice

Implement a Java agent with a mock tool and a fixed set of allowed actions. Verify that a request outside those actions produces a controlled response.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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