Java Application Development with Agentic AI Foundations

Course Description

Java Application Development with Agentic AI Foundations develops practical capability in java application architecture, object design, apis, persistence, and testing and llm and agentic ai foundations, prompts, tools, memory, and orchestration. The learning path connects Oracle architecture, configuration, development, or functional processing to ownership, security, data quality, controls, and measurable acceptance criteria.

The later modules address java integration with ai services, retrieval, guardrails, actions, and handoffs and evaluation, security, observability, performance, deployment, and responsible operations. Learners work with Java unit tests, API responses, agent traces, prompt results to distinguish configuration defects from data, access, integration, performance, or operational failures.

By completing the course, participants can support a Java application enhanced with an AI agent that retrieves trusted context, invokes approved tools, and operates with measurable safety. They also create an improvement plan covering validation, exception handling, rollback, ownership, monitoring, and production support.

What You Will Learn

• Map the dependencies among Java Application Architecture, Object Design before implementation begins.
• Build a repeatable setup for APIs, Persistence, Testing, using Java unit tests as acceptance evidence.
• Process LLM, Agentic AI Foundations with traceable inputs, checkpoints, and outputs.
• Recognise weak application boundaries by examining Prompts, Tools, Memory at the earliest observable stage.
• Trace Java Integration with AI Services, Retrieval from source input to its resulting Oracle outcome.
• Assess Guardrails, Actions, Handoffs through tool-call logs, including a boundary or failure case.
• Administer Evaluation, Security with defined monitoring, recovery, and handover responsibilities.
• Improve resilience to lost context by reviewing Observability, Performance, Deployment and assigning preventive action.

SkillDynamo Training Approach

Delivery combines Oracle-specific demonstrations, guided hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, peer review, and a final improvement plan. Learners document assumptions, settings, data, outputs, exceptions, corrective actions, rollback needs, approvals, evidence, and operational responsibilities.