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 Duration 21 hours

Course Outline

Introduction to the Microsoft Power Platform

  • Overview of Power BI, Power Apps, and Power Automate.
  • How the Power Platform unifies data, logic, and insights.
  • Primary advantages of adopting low-code business solutions.

Initial Steps with Power BI

  • Installation and configuration of Power BI Desktop.
  • Connecting to Excel, databases, and web-based data sources.
  • Data cleansing and transformation using Power Query.
  • Creation and publication of interactive dashboards.

Introduction to Power Apps

  • Navigating the Power Apps environment.
  • Building canvas apps based on existing data sources.
  • Designing app layouts and input forms.
  • Enhancing logic and interactivity through Power Fx formulas.

Linking Power Apps with Data Sources

  • Utilizing Dataverse, SharePoint, and Excel as backend systems.
  • Managing forms, galleries, and UI controls.
  • Executing CRUD operations within the application.

Introduction to Power Automate

  • Distinguishing flow types: automated, instant, and scheduled.
  • Developing and testing automation workflows.
  • Connecting Power Automate with Power Apps and Power BI.
  • Applying templates and connectors for standard business scenarios.

Integrating Power Apps, Power Automate, and Power BI

  • Transferring data between applications and workflows.
  • Initiating automations via Power Apps events.
  • Embedding Power BI dashboards within Power Apps.
  • Orchestrating end-to-end processes across all three tools.

Security, Governance, and Solution Sharing

  • Administration of permissions and data access controls.
  • Environment management and role-based governance.
  • Deployment and distribution of Power Platform solutions.

Capstone Project: Creating an Integrated Business Solution

  • Designing a streamlined business process workflow.
  • Developing a Power App for data entry and validation.
  • Automating notifications and approval processes with Power Automate.
  • Building a Power BI dashboard for real-time reporting.

Recap and Future Steps

Requirements

  • Fundamental knowledge of data management and reporting processes.
  • Basic proficiency with Microsoft Excel or similar Office applications.

Target Audience

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

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