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Course Outline

Introduction to Microsoft Power Platform Development

  • An overview of Power Apps, Power Automate, Power BI, and Power Virtual Agents
  • An analysis of the underlying Dataverse architecture
  • Foundations of Power Platform CLI and Application Lifecycle Management (ALM)

Working with Dataverse

  • Data modeling strategies and entity relationships
  • Management of custom tables, columns, and metadata
  • Configuration of security roles and data access controls

Customizing Power Apps

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

Developing with Power Automate

  • Designing flows and complex automation scenarios
  • Initiating flows via applications and external event triggers
  • Strategies for error handling and retry mechanisms

Extending Platform Capabilities

  • Creating and registering .NET-based plug-ins
  • Incorporating custom business logic
  • Integrating web resources and Azure Functions

Application Lifecycle Management (ALM)

  • Utilizing GitHub or Azure DevOps within the Power Platform context
  • Governance of environments and solution management
  • Establishing CI/CD pipelines and automation workflows

Performance, Monitoring, and Security

  • Techniques for monitoring and diagnosing issues in apps and flows
  • Guidelines for performance tuning
  • Adopting secure development methodologies

Summary and Next Steps

Requirements

  • A solid grasp of Microsoft Power Platform services
  • Proficiency in JavaScript, TypeScript, or C#
  • A working knowledge of REST APIs and data modeling principles

Target Audience

  • Software developers actively working within the Power Platform ecosystem
  • Technical consultants responsible for deploying Power Apps and automation solutions
  • Solution architects focused on designing scalable low-code enterprise applications
 35 Hours

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