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 Duration 21 hours

Course Outline

Introduction to the Microsoft Power Platform

  • An overview of Power BI, Power Apps, and Power Automate
  • How the Power Platform links data, logic, and insights
  • The primary advantages of low-code business solutions

Getting Started with Power BI

  • Installation and configuration of Power BI Desktop
  • Connecting to Excel, databases, and online data sources
  • Data cleaning and transformation via Power Query
  • Construction and publication of interactive dashboards

Introduction to Power Apps

  • Navigating the Power Apps environment
  • Development of canvas apps from data sources
  • Designing app layouts and forms
  • Enhancing logic and interactivity with Power Fx formulas

Connecting Power Apps with Data Sources

  • Utilizing Dataverse, SharePoint, and Excel as back-end systems
  • Managing forms, galleries, and controls
  • Executing CRUD operations within the application

Introduction to Power Automate

  • Distinguishing flow types: automated, instant, and scheduled
  • Creation and testing of automation workflows
  • Linking Power Automate with Power Apps and Power BI
  • Application of templates and connectors for common business scenarios

Integrating Power Apps, Power Automate, and Power BI

  • Data transfer between applications and workflows
  • Triggering automations from Power Apps events
  • Embedding Power BI dashboards within Power Apps
  • Coordinating end-to-end processes across all three tools

Security, Governance, and Solution Sharing

  • Administration of permissions and data access
  • Environment and role-based governance
  • Deployment and sharing of Power Platform solutions

Capstone Project: Constructing an Integrated Business Solution

  • Design of a simple business process workflow
  • Building a Power App for data entry and validation
  • Automation of notifications and approvals using Power Automate
  • Creation of a Power BI dashboard for real-time reporting

Summary and Future Steps

Requirements

  • Fundamental knowledge of data handling and reporting procedures
  • Basic proficiency with Microsoft Excel or other Office suite applications

Target Audience

  • Business analysts
  • Specialists in data and process automation
  • Managers and key decision-makers
  • IT professionals supporting business operations

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