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Course Outline

Introduction to Microsoft Power Platform

  • Overview of Power Platform.
  • Key components and their interactions.
  • Setting up the environment.
  • Overview of common data service (Dataverse).
  • Understanding connectors and integrations.

Power Apps

  • Introduction to Power Apps.
  • Types of Power Apps (Canvas, Model-driven, and Portal).
  • Planning and setting up an app environment.
  • Designing user interfaces.
  • Integrating data sources.
  • Using formulas and controls.
  • Data modeling basics.
  • Form customization and business rules.
  • Automated workflows.
  • Using custom connectors.
  • Integration with other Power Platform components.
  • Monitoring and analytics.

Power Automate

  • Overview of automation capabilities.
  • Different types of flows (Automated, Button, Scheduled, and Business process flows).
  • Triggering events and actions.
  • Working with expressions and conditions.
  • Error handling and debugging.
  • Using AI Builder.
  • Handling approvals and complex processes.
  • Best practices for efficient flows.

Dataverse

  • Introduction to Dataverse.
  • Architecture and data management.
  • Security modeling.
  • Creating and managing entities.
  • Relationships and data integrity.
  • Using calculated fields and roll-up fields.
  • Customizing forms, views, and dashboards.

Power BI

  • Fundamentals of Power BI.
  • Data sourcing and preparation.
  • Building datasets and data models.
  • Designing effective dashboards.
  • Sharing insights across the organization.
  • DAX and advanced data modeling.
  • Administration and workspace management.

Power Virtual Agents

  • Introduction to Power Virtual Agents.
  • Planning and creating bots.
  • Understanding the authoring canvas.
  • Integrating bots with data sources.
  • Handling user inputs and outputs.
  • Using AI to enhance bot capabilities.
  • Monitoring and analyzing bot performance.

Summary and Next Steps

Requirements

  • Basic understanding of business processes.
  • Foundational IT and database knowledge.

Audience

  • IT professionals.
  • Data analysts.
  • Business analysts.
 35 Hours

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