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Duration 35 hours
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 Power Platform CLI and Application Lifecycle Management (ALM)
Working with Dataverse
- Designing data models and establishing relationships
- Creating custom tables, columns, and managing metadata
- Configuring security roles and data access permissions
Customizing Power Apps
- Distinguishing between Canvas and model-driven apps
- Leveraging the Power Apps component framework (PCF)
- Integrating custom connectors and controls
Developing with Power Automate
- Building flows and defining automation scenarios
- Triggering flows from applications and external events
- Implementing error handling and retry mechanisms
Extending Platform Capabilities
- Creating and registering plug-ins using .NET
- Implementing custom business logic
- Utilizing web resources and Azure Functions
Application Lifecycle Management (ALM)
- Integrating GitHub or Azure DevOps with Power Platform
- Managing environments and solutions
- Setting up CI/CD pipelines and automation
Performance, Monitoring, and Security
- Monitoring and troubleshooting applications and flows
- Techniques for performance tuning
- Adopting secure development practices
Summary and Next Steps
Requirements
- A solid understanding of Microsoft Power Platform services.
- Practical experience with JavaScript, TypeScript, or C#.
- Familiarity with REST APIs and fundamental data modeling concepts.
Target Audience
- Software developers working extensively with the Power Platform.
- Technical consultants focused on implementing Power Apps and automation solutions.
- Solution architects responsible for designing low-code enterprise applications.
Testimonials (3)
Practical and hands on labs on report developmemt using Power BI The labs were excellent and the trainer offered very good hands on sessions
Sinzala Sichaanji - Bank of Zambia
Course - Mastering Power Platform: Power Apps, Power Automate, DataVerse, Power BI, and Power Virtual Agents
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