AI-3026: Develop AI Agents on Azure — Lesson 4: Practical Scenarios, Validation, and Next Steps

Topics Covered

• Responsible AI principles and solution requirements
• Prompting, grounding, retrieval, and evaluation
• Identity, content safety, privacy, and security controls
• Troubleshooting model and application behavior
• End-to-end scenario review and decision making
• Performance, usability, adoption, and cost considerations
• Prioritized improvement roadmap and next steps

Practical Activity

Review an end-to-end scenario and produce a prioritized validation, adoption, and improvement roadmap.

• Document assumptions, selected features or services, and expected outcomes.
• Record validation evidence, risks, dependencies, and corrective actions.
• Summarize the decision in a reusable implementation or operations note.

Lesson Outcome

Learners can explain and apply the lesson topics within a realistic Microsoft AI scenario.