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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 the architecture of Dataverse
  • Introduction to Power Platform CLI and Application Lifecycle Management (ALM)

Working with Dataverse

  • Data modeling and establishing relationships
  • Customizing tables, columns, and metadata
  • Configuring security roles and data access

Customizing Power Apps

  • Comparing canvas versus model-driven apps
  • Utilizing the Power Apps component framework (PCF)
  • Building custom connectors and controls

Developing with Power Automate

  • Creating flows and defining automation scenarios
  • Triggering flows from internal apps and external events
  • Managing error handling and retry mechanisms

Extending Platform Capabilities

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

Application Lifecycle Management (ALM)

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

Performance, Monitoring, and Security

  • Monitoring and troubleshooting apps and flows
  • Tips for performance tuning
  • Implementing secure development practices

Summary and Next Steps

Requirements

  • Foundational knowledge of Microsoft Power Platform services
  • Proficiency in JavaScript, TypeScript, or C#
  • Working familiarity with REST APIs and data modeling principles

Intended Audience

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

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