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Course Outline
Introduction to Microsoft Power Platform Development
- Overview of Power Apps, Power Automate, Power BI, and Power Virtual Agents
- Deep dive into Dataverse architecture
- Fundamentals of Power Platform CLI and Application Lifecycle Management (ALM)
Working with Dataverse
- Data modeling strategies and entity relationships
- Management of custom tables, columns, and metadata
- Configuring security roles and data access controls
Customizing Power Apps
- Comparing canvas apps versus model-driven apps
- Leveraging the Power Apps component framework (PCF)
- Building custom connectors and controls
Developing with Power Automate
- Designing flows and complex automation scenarios
- Triggering workflows from applications and external events
- Strategies for error handling and retry logic
Extending Platform Capabilities
- Development and registration of plug-ins using .NET
- Implementation of custom business logic
- Integration of web resources and Azure Functions
Application Lifecycle Management (ALM)
- Utilizing GitHub or Azure DevOps for Power Platform repositories
- Managing environments and solution packages
- Setting up CI/CD pipelines and deployment automation
Performance, Monitoring, and Security
- Monitoring tools and troubleshooting techniques for apps and flows
- Advanced performance tuning techniques
- Adhering to secure development practices
Summary and Next Steps
Requirements
- A solid understanding of the Microsoft Power Platform service ecosystem
- Practical experience with JavaScript, TypeScript, or C#
- Familiarity with REST APIs and core data modeling concepts
Target Audience
- Software developers actively working with the Power Platform
- Technical consultants deploying Power Apps and automation solutions
- Solution architects designing low-code enterprise applications
35 Hours
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