AI Agents in Java with Generative AI

Vanderbilt University via Coursera Specialization

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Overview

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Master the art of building intelligent Java AI agents that think, reason, and act autonomously. This comprehensive specialization takes you from foundational principles to advanced patterns for creating enterprise-grade agentic systems that solve complex problems without constant human direction. You'll begin by mastering Java-based agent architectural fundamentals, understanding the core GAME components (Goals, Actions, Memory, Environment) that power sophisticated AI systems. Using Java's reflection, annotation processing, and strong typing, you'll create robust agent frameworks with minimal boilerplate code that connect to real-world systems. As you progress, you'll develop advanced skills in creating powerful Java-based tools for AI agents using annotations that seamlessly integrate with existing codebases. The specialization covers sophisticated patterns including self-prompting, expert personas, document-as-implementation, multi-agent orchestration, and safety mechanisms—all leveraging Java's robust ecosystem. Throughout the program, you'll focus on transferable knowledge that works across any LLM or AI technology, gaining deep debugging skills and framework independence that keeps your expertise relevant regardless of how fast the AI landscape changes. By completing this specialization, you'll be equipped to architect sophisticated AI agents that leverage Java's enterprise capabilities to deliver genuine business value. Paid access to OpenAI's APIs is required.

Syllabus

Course 1: AI Agents in Java with Generative AI
- Offered by Vanderbilt University. AI Agents Are the Next Leap in Software. Learn to Build Them in Java. AI agents aren’t passive tools. ... Enroll for free.

Course 2: AI Agent Architecture in Java with Generative AI
- Offered by Vanderbilt University. Master the Art of Building Intelligent Java Agents That Think, Reason, and Act Unlock the full potential ... Enroll for free.

Course 3: Prompt Engineering for ChatGPT
- Offered by Vanderbilt University. ChatGPT and other large language models are going to be more important in your life and business than your ... Enroll for free.

Courses

2 reviews
18 hours 48 minutes
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ChatGPT and other large language models are going to be more important in your life and business than your smartphone, if you use them right. ChatGPT can tutor your child in math, generate a meal plan and recipes, write software applications for your business, help you improve your personal cybersecurity, and that is just in the first hour that you use it. This course will teach you how to be an expert user of these generative AI tools. The course will show amazing examples of how you can tap into these generative AI tools' emergent intelligence and reasoning, how you can use them to be more productive day to day, and give you insight into how they work. Large language models respond to instructions and questions posed by users in natural language statements, known as “prompts”. Although large language models will disrupt many fields, most users lack the skills to write effective prompts. Expert users, who understand how to write good prompts, are orders of magnitude more productive and can unlock significantly more creative uses for these tools. This course introduces students to the patterns and approaches for writing effective prompts for large language models. Anyone can take the course and the only required knowledge is basic computer usage skills, such as using a browser and accessing ChatGPT. Students will start with basic prompts and build towards writing sophisticated prompts to solve problems in any domain. By the end of the course, students will have strong prompt engineering skills and be capable of using large language models for a wide range of tasks in their job, business, personal life, and education, such as writing, summarization, game play, planning, simulation, and programming.
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7 hours 37 minutes
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Master the Art of Building Intelligent Java Agents That Think, Reason, and Act Unlock the full potential of Java for creating autonomous AI agents that solve complex problems without constant human direction. In this comprehensive course on AI Agents and Agentic AI with Java & Generative AI, you'll learn how to architect sophisticated agent systems that leverage Java's robust ecosystem and enterprise-grade capabilities. This course takes you beyond the foundations covered in the AI Agents and Agentic AI with Java & Generative AI course to explore advanced patterns for building truly intelligent agents in Java. You'll delve into specialized techniques like self-prompting, expert personas, document-as-implementation, and multi-agent orchestration - all implemented with Java's powerful frameworks and libraries. ## What You'll Learn: - **Self-Prompting Patterns in Java**: Build agents that dynamically adopt different thinking modes to handle specialized tasks, transforming unstructured data into structured formats with clean Java implementations - Java-Based Expert Persona Systems: Implement consultation frameworks where agents can invoke domain experts for specialized knowledge while maintaining clean architecture - Document-as-Implementation: Use Java's powerful file handling to create systems where human-readable documents become executable business logic - Multi-Agent Collaboration with Java: Design sophisticated memory sharing and coordination mechanisms between specialized Java agents - Progress Tracking & Planning: Implement robust planning and reflection capabilities using Java's enterprise-grade tooling - Java Agent Safety & Trust Systems: Build transaction management and safety mechanisms that leverage Java's exception handling and security features By the end of this course, you'll be equipped to build complex, enterprise-ready agent systems in Java that can reason across multiple domains, handle complex workflows, and safely interact with real-world systems. Whether you're building productivity tools, automating complex business processes, or creating intelligent assistants, you'll have the Java-specific knowledge to implement agentic AI solutions that provide genuine business value. This course will teach you these concepts using OpenAI's APIs, which require paid access, but the principles and techniques can be adapted to other LLMs.
0 reviews
11 hours 43 minutes
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AI Agents Are the Next Leap in Software. Learn to Build Them in Java. AI agents aren’t passive tools. They think, act, and solve problems—without waiting for instructions. That’s the future of software. And in this course, you’ll learn how to build it. Frameworks come and go. Principles last. This course cuts through the noise to teach you how AI agents really work—using rock-solid Java. Forget tutorials on trendy APIs that’ll be dead by next quarter. You’ll learn to build AI agents from the ground up. No fluff. No shortcuts. Just the core architecture that powers intelligent systems—knowledge that stays useful no matter how fast the landscape shifts. In this course, you will: - Master Java-based agent architectural fundamentals - Understand the core GAME components (Goals, Actions, Memory, Environment) that make AI agents tick and how they work together in a cohesive Java system - Leverage Java's strengths for efficient agent development - Use Java's reflection, annotation processing, and strong typing to create robust, maintainable agent frameworks with minimal boilerplate code - Rapidly prototype and implement Java agents - Learn techniques to quickly design Java agent capabilities with prompt engineering before writing a single line of code, then efficiently translate your designs into working Java implementations - Connect Java AI agents to real-world systems - Build Java agents that can interact with file systems, APIs, and other external services - Create Java-powered tool-using AI assistants - Develop Java agents that can analyze files, manage data, and automate complex workflows by combining LLM reasoning with Java's extensive libraries and functionality - Build Java developer productivity agents - Create specialized Java agents that help you write code, generate tests, and produce documentation to accelerate your software development process Why Principles Matter More Than Frameworks The AI landscape is changing weekly, but the core principles of agent design remain constant. By understanding how to build agents from scratch, you'll gain: - Transferable knowledge that works across any LLM or AI technology - Deep debugging skills because you'll understand what's happening at every level - Framework independence that frees you from dependency on third-party libraries and allows you to succeed with any of them - Future-proof expertise that will still be relevant when today's popular tools are long forgotten By the end of this course, you won't just know how to use AI agents—you'll know how to build them in Java, customize them, and deploy them to solve real business problems. This course will teach you these concepts using OpenAI's APIs, which require paid access, but the principles and techniques can be adapted to other LLMs.