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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

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