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Contents
Chapter 2: Designing Power Platform Solutions with AI-Enabled Tools
Chapter 3: Environments and ALM Strategy
Chapter 4: Dataverse Tables and Columns
Chapter 5: Relationships, AI Data Features, and Data Security
Chapter 6: Model-Driven App Forms and Views
Chapter 7: Composing, Securing, and Visualizing Model-Driven Apps
Chapter 8: Creating and Designing Canvas Apps
Chapter 9: Canvas App Components, Variables, and Error Handling
Chapter 10: Testing Canvas Apps and Creating Agents from Apps
Chapter 11: Cloud Flow Triggers, Connectors, and Approvals
Chapter 12: Cloud Flow Actions, Control, and Troubleshooting
Chapter 13: Building Prompts in AI Hub
Chapter 14: Prompt Settings, Models, and Consuming AI
Chapter 15: Business Rules and Business Process Flows
Chapter 16: Calculated Columns and Business Logic Strategy
