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Course Outline

Fundamentals of the Microsoft Power Platform

  • General overview of the Power Platform
  • Core components and their interdependencies
  • Configuring the working environment
  • Introduction to the common data service (DataVerse)
  • Grasping connectors and integration mechanisms

Power Apps

  • Basics of Power Apps
  • App categories (Canvas, Model-driven, and Portal)
  • Preparation and setup of the app environment
  • User interface design principles
  • Connecting various data sources
  • Application of formulas and UI controls
  • Foundations of data modeling
  • Form adjustments and business rule configuration
  • Workflow automation
  • Utilization of custom connectors
  • Collaboration with other Power Platform modules
  • Performance monitoring and analytical tracking

Power Automate

  • Snapshot of automation features
  • Varieties of flows (Automated, Button, Scheduled, and Business process flows)
  • Initiating events and executing actions
  • Manipulating expressions and conditional logic
  • Resolving errors and troubleshooting
  • Leveraging AI Builder
  • Managing approvals and intricate processes
  • Optimal strategies for flow efficiency

DataVerse

  • Introduction to DataVerse
  • System architecture and data handling
  • Security framework design
  • Entity creation and administration
  • Data relationships and integrity maintenance
  • Application of calculated and roll-up fields
  • Customization of forms, views, and dashboards

Power BI

  • Core concepts of Power BI
  • Data acquisition and refinement
  • Construction of datasets and data models
  • Crafting impactful dashboards
  • Distributing insights across the enterprise
  • DAX syntax and sophisticated data modeling
  • System administration and workspace control

Power Virtual Agents

  • Overview of Power Virtual Agents
  • Bot strategy and creation
  • Navigating the authoring canvas
  • Bot integration with data repositories
  • Processing user inputs and responses
  • Enhancing bot functions with AI
  • Tracking and evaluating bot performance

Conclusion and Future Directions

Requirements

  • Fundamental grasp of business operations
  • Basic knowledge of IT systems and databases

Target Audience

  • IT specialists
  • Data analysts
  • Business analysts
 35 Hours

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