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

Working with Dataverse

  • Modeling data structures and defining relationships
  • Configuring custom tables, columns, and metadata
  • Managing security roles and data access permissions

Customizing Power Apps

  • Comparing Canvas versus model-driven applications
  • Leveraging the Power Apps component framework (PCF)
  • Integrating custom connectors and UI controls

Developing with Power Automate

  • Designing flows and complex automation scenarios
  • Triggering flows from applications and external system events
  • Implementing error handling and retry mechanisms

Extending Platform Capabilities

  • Building and registering plug-ins using .NET
  • Implementing sophisticated custom business logic
  • Utilizing web resources and Azure Functions for extended functionality

Application Lifecycle Management (ALM)

  • Integrating GitHub or Azure DevOps with the Power Platform
  • Managing environments and solution packages
  • Setting up CI/CD pipelines for automated deployment

Performance, Monitoring, and Security

  • Monitoring system health and troubleshooting app and flow issues
  • Applying performance tuning strategies
  • Enforcing secure development practices throughout the lifecycle

Summary and Next Steps

Requirements

  • A foundational understanding of Microsoft Power Platform services
  • Proficiency in JavaScript, TypeScript, or C#
  • Knowledge of REST APIs and core data modeling concepts

Target Audience

  • Software developers engaged with the Power Platform ecosystem
  • Technical consultants focused on implementing Power Apps and automation solutions
  • Solution architects designing low-code applications for enterprise use
 35 Hours

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