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Course Outline
Foundations of Microsoft Power Platform
- Platform overview
- Core components and their interconnections
- Configuring the development environment
- Overview of common data service (DataVerse)
- Exploring connectors and integration points
Power Apps
- Getting started with Power Apps
- Application types (Canvas, Model-driven, and Portal)
- Planning and establishing the app environment
- Crafting user interfaces
- Connecting data sources
- Applying formulas and controls
- Essentials of data modeling
- Customizing forms and defining business rules
- Implementing automated workflows
- Leveraging custom connectors
- Integration with other Power Platform tools
- Monitoring and performance analytics
Power Automate
- Automation capabilities overview
- Flow types (Automated, Button, Scheduled, and Business process flows)
- Defining triggers and actions
- Utilizing expressions and conditional logic
- Managing errors and debugging strategies
- Application of AI Builder
- Handling approvals and complex process chains
- Best practices for building efficient flows
DataVerse
- Introduction to DataVerse
- System architecture and data governance
- Security model configuration
- Entity creation and management
- Defining relationships and maintaining data integrity
- Application of calculated and roll-up fields
- Customization of forms, views, and dashboards
Power BI
- Power BI essentials
- Data acquisition and preparation techniques
- Constructing datasets and data models
- Designing impactful dashboards
- Distributing insights organization-wide
- DAX and advanced modeling techniques
- Administrative functions and workspace oversight
Power Virtual Agents
- Introduction to Power Virtual Agents
- Bot planning and development
- Navigating the authoring canvas
- Connecting bots to external data
- Processing user interactions and responses
- Enhancing bot functionality with AI
- Tracking and analyzing bot performance
Recap and Future Directions
Requirements
- Familiarity with general business processes
- Foundational IT and database concepts
Target Audience
- IT professionals
- Data analysts
- Business analysts
35 Hours
Testimonials (1)
Practical and hands on labs on report developmemt using Power BI The labs were excellent and the trainer offered very good hands on sessions