Oracle AI Agent Studio for Fusion Applications Developers (D1114494GC10) — Lesson 2: Skills, Tools, Actions, Data Grounding, Prompts, and Fusion Context

Learning Objectives

• Describe prerequisites, ownership, dependencies, and failure conditions for skills, tools, actions, data grounding, prompts, and fusion context.
• Construct the course-specific workflow while recording evidence at each material checkpoint.
• Evaluate the solution against security, control, reliability, performance, and support criteria.

Detailed Topics

• Skills
• Tools
• Actions
• Data Grounding
• Prompts
• Fusion Context
• ownership, prerequisites, data, and acceptance criteria for skills, tools, actions, data grounding, prompts, and fusion context
• security, control, integration, performance, recovery, and support implications

Instructor Demonstration

Demonstrate skills, tools, actions, data grounding, prompts, and fusion context within a Fusion Applications AI agent grounded in enterprise data, invoking controlled actions, respecting permissions, and escalating to humans. Use representative data and capture tool configurations, grounded responses so another practitioner can verify the result.

Hands-On Exercise

Complete a controlled Oracle AI Agent Studio for Fusion Applications Developers (D1114494GC10) activity focused on skills, tools, actions, data grounding, prompts, and fusion context. Introduce a realistic case of data exposure, isolate the cause, apply a reversible correction, and rerun the acceptance checks.

1. Record the requirement, environment, identities, dependencies, data, controls, and expected result.
2. Perform the workflow and capture course-specific evidence before and after each material change.
3. Test normal, boundary, failure, security, reconciliation, recovery, and operational conditions.
4. Document the root cause, correction, rollback, owner, support action, and next improvement priority.

Scenario Analysis

• Establish current state, desired state, constraints, and acceptable service impact.
• Compare alternative implementation or diagnostic approaches and their rollback consequences.
• Document the decision, evidence, exception, corrective action, and measurable improvement target.

Troubleshooting Guidance

When skills, tools, actions, data grounding, prompts, and fusion context does not produce the expected result, confirm scope, effective dates, identities, data context, dependencies, and recent changes. Review the most relevant tool configurations, grounded responses before editing configuration. Test one reversible hypothesis at a time, verify recovery, and confirm that the fix does not create data exposure elsewhere.

Validation Checklist

• Prerequisites, ownership, data context, settings, and expected outcomes are documented.
• The result is reproducible and supported by tool configurations, grounded responses.
• Security, controls, data quality, integration, performance, recovery, and support conditions are reviewed.
• Exceptions, corrective action, rollback, approvals, monitoring, and handover are recorded.

Lesson Outcome

Learners can apply Skills, Tools, Actions, Data Grounding, Prompts, and Fusion Context in a realistic Oracle AI Agent Studio for Fusion Applications Developers (D1114494GC10) situation and defend the result with course-specific evidence.