55604A – Using AI and Copilot in the Microsoft Power Platform — Lesson 2: AI Builder and Intelligent Apps

Learning Objectives

• Build or use AI Builder models for documents, text, prediction, or recognition
• Integrate predictions into Power Apps experiences
• Capture confidence, corrections, and human-review decisions

Detailed Topics

• Build or use AI Builder models for documents: Build or use AI Builder models for documents, text, prediction, or recognition
• Integrate predictions into Power Apps experiences: Integrate predictions into Power Apps experiences
• Capture confidence: Capture confidence, corrections, and human-review decisions

Guided Demonstration

1. Review the requirement, users, data, dependencies, permissions, risks, and expected result.
2. Demonstrate the relevant configuration, application, automation, analysis, or administration workflow step by step.
3. Capture settings, outputs, logs, screenshots, calculations, test results, and other useful evidence.
4. Compare the observed result with acceptance criteria and explain any corrective action.

Hands-On Activity

Create an AI-assisted Power Apps process.

• Document assumptions, prerequisites, and the planned sequence before starting.
• Complete the activity and preserve evidence of normal, boundary, and failure behavior.
• Record issues, corrective actions, reusable notes, and the next improvement priority.

Scenario Analysis

• Identify the business or technical decision that must be made.
• Compare valid implementation approaches and their trade-offs.
• Consider security, privacy, accessibility, performance, support, and operational impact.

Troubleshooting Focus

• Separate symptoms from causes and collect evidence before applying a fix.
• Check configuration, data, permissions, dependencies, capacity, connectivity, and recent changes.
• Validate rollback, recovery, ownership, user impact, and business continuity.

Validation Checklist

• The requirement, scope, inputs, and expected outcome are clear.
• The selected design or configuration is documented and follows approved standards.
• Normal, boundary, failure, security, accessibility, and operational conditions are reviewed.
• The result is supported by evidence and the next improvement is prioritized.

Lesson Outcome

Learners can explain and apply AI Builder and Intelligent Apps in a realistic scenario and validate the result with documented evidence.