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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 Dataverse architecture.
- Introduction to Power Platform CLI and ALM.
Working with Dataverse
- Data modeling and relationships.
- Custom tables, columns, and metadata.
- Security roles and data access.
Customizing Power Apps
- Differences between Canvas and model-driven apps.
- Utilizing the Power Apps component framework (PCF).
- Custom connectors and controls.
Developing with Power Automate
- Creating flows and automation scenarios.
- Triggering flows from applications and external events.
- Error handling and retries.
Extending Platform Capabilities
- Creating and registering plug-ins using .NET.
- Implementing custom business logic.
- Using web resources and Azure Functions.
Application Lifecycle Management (ALM)
- Utilizing GitHub or Azure DevOps for Power Platform.
- Managing environments and solutions.
- CI/CD pipelines and automation.
Performance, Monitoring, and Security
- Monitoring and troubleshooting applications and flows.
- Performance tuning tips.
- Implementing secure development practices.
Summary and Next Steps
Requirements
- A solid understanding of Microsoft Power Platform services.
- Experience with JavaScript, TypeScript, or C#.
- Familiarity with data modeling concepts and REST APIs.
Audience
- Software developers working with the Power Platform.
- Technical consultants responsible for implementing Power Apps and automation.
- Solution architects designing enterprise low-code applications.
35 Hours
Testimonials (2)
We did quite complex examples, so we could get a feeling of how the real work with Power Automate Desktop can look like in the real world scenario.
Michal Strnad - MicroNova AG
Course - Microsoft Flow/Power Automate
Dynamic, adaptive, and informative