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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 the architecture of Dataverse
- Introduction to the Power Platform CLI and Application Lifecycle Management (ALM)
Working with Dataverse
- Data modeling and relationships
- Custom tables, columns, and metadata
- Security roles and data access controls
Customizing Power Apps
- Distinctions 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
- Initiating flows from applications and external events
- Handling errors and managing retries
Extending Platform Capabilities
- Creating and registering plug-ins using .NET
- Implementing custom business logic
- Leveraging web resources and Azure Functions
Application Lifecycle Management (ALM)
- Using GitHub or Azure DevOps with the Power Platform
- Managing environments and solutions
- CI/CD pipelines and automation
Performance, Monitoring, and Security
- Monitoring and troubleshooting applications and flows
- Tips for performance tuning
- Implementing secure development practices
Summary and Next Steps
Requirements
- Knowledge of Microsoft Power Platform services
- Practical experience with JavaScript, TypeScript, or C#
- Familiarity with REST APIs and data modeling principles
Target Audience
- Software developers utilizing the Power Platform
- Technical consultants deploying Power Apps and automation solutions
- Solution architects designing low-code enterprise 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