Course Outline

Introduction to Microsoft Power Platform

  • Overview of Power BI, Power Apps, and Power Automate
  • How Power Platform connects data, logic, and insights
  • Key benefits of low-code business solutions

Getting Started with Power BI

  • Installing and configuring Power BI Desktop
  • Connecting to Excel, databases, and online data sources
  • Data cleaning and transformation with Power Query
  • Building and publishing interactive dashboards

Introduction to Power Apps

  • Understanding the Power Apps environment
  • Creating canvas apps from data sources
  • Designing app layouts and forms
  • Adding logic and interactivity with Power Fx formulas

Connecting Power Apps with Data Sources

  • Using Dataverse, SharePoint, and Excel as back-end systems
  • Working with forms, galleries, and controls
  • Implementing CRUD operations within the app

Introduction to Power Automate

  • Understanding flow types: automated, instant, and scheduled
  • Creating and testing automation workflows
  • Connecting Power Automate with Power Apps and Power BI
  • Using templates and connectors for common business scenarios

Integrating Power Apps, Power Automate, and Power BI

  • Passing data between apps and workflows
  • Triggering automation from Power Apps events
  • Embedding Power BI dashboards into Power Apps
  • Coordinating end-to-end processes across all three tools

Security, Governance, and Sharing Solutions

  • Managing permissions and data access
  • Environment and role-based governance
  • Deploying and sharing Power Platform solutions

Capstone Project: Building an Integrated Business Solution

  • Designing a simple business process workflow
  • Building a Power App for data input and validation
  • Automating notifications and approvals with Power Automate
  • Creating a Power BI dashboard for real-time reporting

Summary and Next Steps

Requirements

  • An understanding of basic data handling and reporting processes
  • Basic familiarity with Microsoft Excel or other Office applications

Audience

  • Business analysts
  • Data and process automation specialists
  • Managers and decision-makers
  • IT professionals supporting business operations
 21 Hours

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