What will you learn in AI Agents in Java with Generative AI Specialization Course
Implement autonomous AI agents in Java that process unstructured data, make decisions, and execute complex workflows
Dynamically adopt expert personas and build multi-agent collaboration systems with memory sharing and coordination
Architect trustworthy, safe agent frameworks using staged execution, reversible actions, and safety patterns
Apply prompt engineering to design agent behaviors before writing code and translate designs into Java implementations
Program Overview
Course 1: AI Agents in Java with Generative AI
⏳ 11 hours
Build a complete Java-based AI agent framework, from goals/actions/memory/environment components to tool integration
Course 2: AI Agent Architecture in Java with Generative AI
⏳ 7 hours
Implement expert-persona systems, multi-agent orchestration, and safety mechanisms using Java’s reflection and annotation processing
Course 3: Prompt Engineering for ChatGPT
⏳ 18 hours
Master prompt patterns—zero/few-shot, chain-of-thought—and build complex ChatGPT-based applications that integrate seamlessly with Java agents
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Job Outlook
Roles: AI Engineer (Java), Agentic Systems Architect, ML Engineer, Software Developer specializing in autonomous agents.
Industries: Enterprise automation, fintech, IoT platforms, and large-scale software solutions.
Salaries: $100K–$150K USD for developers with Java-based AI/agent expertise.
Growth: Demand for Java agentic systems is rising as organizations automate complex business workflows and integrate LLM capabilities into enterprise software.
Specification: AI Agents in Java with Generative AI Specialization Course
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FAQs
- Basic AI knowledge is helpful but not mandatory.
- A solid Java background is essential.
- Focus is on building autonomous AI agents, not general AI theory.
- Hands-on projects help you learn by implementing real-world AI agents.
- Prompt engineering and agent orchestration are taught step by step.
- Yes, the course teaches full-stack agent implementation in Java.
- Includes multi-agent coordination, memory sharing, and safety patterns.
- You’ll learn to integrate agents with tools and workflows in production environments.
- Real-world labs simulate enterprise automation scenarios.
- Prepares learners for roles in fintech, IoT, and large-scale software solutions.
- AI Engineer (Java).
- Agentic Systems Architect.
- ML Engineer specializing in autonomous agents.
- Software Developer for enterprise AI automation.
- Salaries range $100K–$150K USD for skilled Java agent developers.
- Focused on Java-centric autonomous agent architectures.
- Covers multi-agent orchestration, safety patterns, and prompt engineering.
- Emphasizes production-ready agent systems rather than theoretical models.
- Provides hands-on labs to build, test, and deploy real AI agents.
- Unlike generic AI courses, it is tailored to enterprise automation with Java.
- Yes, access to paid OpenAI API is needed for some examples.
- Knowledge of Java’s reflection and annotation processing is recommended.
- Labs simulate real-world integration of AI models into Java agents.
- Basic understanding of APIs helps in customizing agent behavior.
- The course guides learners through safe and effective API use.
