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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
- Comprehending Dataverse architecture
- Introduction to the Power Platform CLI and ALM concepts
Working with Dataverse
- Data modeling and entity relationships
- Managing custom tables, columns, and metadata
- Configuring security roles and data access permissions
Customizing Power Apps
- Differentiating between Canvas and model-driven apps
- Utilizing the Power Apps component framework (PCF)
- Integrating custom connectors and controls
Developing with Power Automate
- Constructing flows and designing automation scenarios
- Triggering workflows 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
- Leveraging web resources and Azure Functions
Application Lifecycle Management (ALM)
- Integrating GitHub or Azure DevOps with the Power Platform
- Managing environments and solution packages
- Establishing CI/CD pipelines and automation workflows
Performance, Monitoring, and Security
- Monitoring and troubleshooting applications and flows
- Applying performance tuning strategies
- Adopting secure development practices
Summary and Next Steps
Requirements
- A foundational understanding of Microsoft Power Platform services
- Practical experience with JavaScript, TypeScript, or C#
- Knowledge of REST APIs and data modeling principles
Target Audience
- Software developers actively working 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