AI Agents in Java with Generative AI Specialization Course Syllabus

Overview: This specialization provides a comprehensive, project-driven introduction to building AI agents in Java with generative AI integration. Over approximately 36 hours, learners progress through three courses covering agent fundamentals, architectural patterns, and prompt engineering techniques. Each module combines theory with hands-on Java implementation, culminating in a final project that integrates multi-agent systems, memory, safety controls, and LLM-powered workflows. Lifetime access ensures ongoing learning and reference.

Module 1: Introduction to AI Agents in Java

Estimated time: 11 hours

• Foundations of autonomous agents and agentic behavior
• Designing agent components: goals, actions, memory, and environment
• Integrating tools and external APIs into Java agents
• Building a complete Java-based AI agent framework

Module 2: Advanced Agent Architecture in Java

Estimated time: 7 hours

• Implementing expert-persona systems using Java annotations
• Multi-agent orchestration and coordination patterns
• Safety mechanisms: staged execution and reversible actions
• Leveraging Java reflection for dynamic agent behavior

Module 3: Prompt Engineering for Agent Behavior Design

Estimated time: 6 hours

• Designing agent behaviors using prompt patterns
• Zero-shot and few-shot prompting for task specification
• Chain-of-thought reasoning in generative AI agents
• Translating prompt designs into Java implementations

Module 4: Integrating ChatGPT with Java Agents

Estimated time: 6 hours

• Connecting Java agents to OpenAI's ChatGPT API
• Processing unstructured data using LLMs
• Dynamic persona adoption in agent workflows
• Securing and managing API interactions in production

Module 5: Building Trustworthy and Safe Agent Systems

Estimated time: 6 hours

• Implementing safety patterns in agent execution
• Memory sharing and state management across agents
• Debugging and monitoring agent decision chains
• Deploying agents in enterprise automation contexts

Module 6: Final Project

Estimated time: 10 hours

• Design and implement a multi-agent Java system with generative AI integration
• Incorporate memory, coordination, and safety controls
• Apply prompt engineering to define agent behaviors and workflows

Prerequisites

• Proficient understanding of Java programming
• Basic knowledge of APIs and software design patterns
• Access to OpenAI API for hands-on examples

What You'll Be Able to Do After

• Implement autonomous AI agents in Java that process unstructured data
• Architect multi-agent collaboration systems with memory and coordination
• Build safe, trustworthy agent frameworks using execution safeguards
• Apply prompt engineering to design agent behaviors before coding
• Deploy Java-based AI agents in real-world business automation scenarios