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Course Outline

Introduction to Development in Microsoft Power Platform

  • Overview of Power Apps, Power Automate, Power BI, and Power Virtual Agents
  • Comprehending the architecture of Dataverse
  • Introduction to the Power Platform CLI and Application Lifecycle Management (ALM)

Managing Data with Dataverse

  • Data modeling strategies and relationship mapping
  • Configuration of custom tables, columns, and metadata
  • Defining security roles and managing data access

Customization of Power Apps

  • Distinguishing between Canvas and model-driven applications
  • Utilizing the Power Apps component framework (PCF)
  • Development of custom connectors and controls

Building Solutions with Power Automate

  • Designing flows and automation scenarios
  • Initiating flows via apps and external events
  • Implementing error handling and retry mechanisms

Expanding Platform Functionality

  • Creation and registration of plug-ins using .NET
  • Implementation of custom business logic
  • Integration of web resources and Azure Functions

Application Lifecycle Management (ALM)

  • Leveraging GitHub or Azure DevOps within the Power Platform
  • Management of environments and solutions
  • Establishment of CI/CD pipelines and automation

Optimizing Performance, Monitoring, and Security

  • Monitoring and troubleshooting applications and flows
  • Strategies for performance tuning
  • Application of secure development practices

Conclusion and Future Directions

Requirements

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

Target Audience

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

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Price per participant

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