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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
- Canvas vs. model-driven apps
- Using Power Apps component framework (PCF)
- Custom connectors and controls
Developing with Power Automate
- Creating flows and automation scenarios
- Triggering flows from apps 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)
- Using GitHub or Azure DevOps for Power Platform
- Managing environments and solutions
- CI/CD pipelines and automation
Performance, Monitoring, and Security
- Monitoring and troubleshooting apps and flows
- Performance tuning tips
- Implementing secure development practices
Summary and Next Steps
Requirements
- An understanding of Microsoft Power Platform services
- Experience with JavaScript, TypeScript, or C#
- Familiarity with REST APIs and data modeling concepts
Audience
- Software developers working with the Power Platform
- Technical consultants implementing Power Apps and automation
- Solution architects designing low-code enterprise apps
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