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Course Outline

Foundations of Microsoft Power Platform Development

  • Key features of Power Apps, Power Automate, Power BI, and Power Virtual Agents
  • In-depth look at Dataverse architecture
  • Overview of Power Platform CLI and Application Lifecycle Management (ALM)

Managing Dataverse

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

Tailoring Power Apps

  • Differences between Canvas and model-driven apps
  • Applying the Power Apps component framework (PCF)
  • Integrating custom connectors and controls

Building with Power Automate

  • Designing workflows and automation scenarios
  • Initiating flows through applications and external triggers
  • Managing error handling and retry mechanisms

Enhancing Platform Functionality

  • Developing and registering plug-ins with .NET
  • Encoding custom business logic
  • Utilizing web resources and Azure Functions

Application Lifecycle Management (ALM)

  • Utilizing GitHub or Azure DevOps for Power Platform projects
  • Overseeing environments and solution management
  • Setting up CI/CD pipelines and automation workflows

Optimizing Performance, Monitoring, and Security

  • Tracking and resolving issues in apps and flows
  • Strategies for performance optimization
  • Adhering to secure development standards

Conclusions and Future Directions

Requirements

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

Intended Audience

  • Software developers engaged in Power Platform projects
  • Technical consultants focused on deploying Power Apps and automation solutions
  • Solution architects creating low-code enterprise applications
 35 Hours

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