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Course Outline

Foundations of Microsoft Power Platform Development

  • Survey of Power Apps, Power Automate, Power BI, and Power Virtual Agents
  • Architectural insights into Dataverse
  • Introduction to Power Platform CLI and Application Lifecycle Management (ALM)

Interacting with Dataverse

  • Structuring data models and defining relationships
  • Creating custom tables, columns, and metadata structures
  • Configuring security roles and data access controls

Customizing Power Apps

  • Distinguishing between Canvas and model-driven applications
  • Leveraging the Power Apps Component Framework (PCF)
  • Building custom connectors and user interface controls

Building with Power Automate

  • Designing flows and automating business scenarios
  • Initiating flows via applications and external event triggers
  • Implementing error handling and retry mechanisms

Enhancing Platform Functionality

  • Developing and registering plug-ins using .NET
  • Embedding custom business logic into workflows
  • Integrating web resources and Azure Functions

Application Lifecycle Management (ALM)

  • Managing Power Platform assets using GitHub or Azure DevOps
  • Overseeing environments and solution management
  • Establishing CI/CD pipelines and automated release processes

Optimizing Performance, Monitoring, and Security

  • Monitoring and diagnosing application and flow issues
  • Strategies for performance tuning and optimization
  • Adopting secure development methodologies

Conclusion and Future Development

Requirements

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

Audience

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

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