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Course Outline

Introduction to Microsoft Power Platform Development

  • Overview of Power Apps, Power Automate, Power BI, and Power Virtual Agents.
  • Understanding Dataverse architecture.
  • Introduction to Power Platform CLI and ALM.

Working with Dataverse

  • Data modeling and relationships.
  • Custom tables, columns, and metadata.
  • Security roles and data access.

Customizing Power Apps

  • Differences between Canvas and model-driven apps.
  • Utilizing the Power Apps component framework (PCF).
  • Custom connectors and controls.

Developing with Power Automate

  • Creating flows and automation scenarios.
  • Triggering flows from applications and external events.
  • Error handling and retries.

Extending Platform Capabilities

  • Creating and registering plug-ins using .NET.
  • Implementing custom business logic.
  • Using web resources and Azure Functions.

Application Lifecycle Management (ALM)

  • Utilizing GitHub or Azure DevOps for Power Platform.
  • Managing environments and solutions.
  • CI/CD pipelines and automation.

Performance, Monitoring, and Security

  • Monitoring and troubleshooting applications and flows.
  • Performance tuning tips.
  • Implementing secure development practices.

Summary and Next Steps

Requirements

  • A solid understanding of Microsoft Power Platform services.
  • Experience with JavaScript, TypeScript, or C#.
  • Familiarity with data modeling concepts and REST APIs.

Audience

  • Software developers working with the Power Platform.
  • Technical consultants responsible for implementing Power Apps and automation.
  • Solution architects designing enterprise low-code applications.
 35 Hours

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