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Course Outline

Introduction.

Overview of Microsoft Power Platform Features.

  • Main components of the Power Platform.
  • Integration with Office 365, Dynamics 365, and third-party applications.
  • Data sources and connectors.

Getting Started with Microsoft Power Platform.

  • Basics of Microsoft Dataverse (formerly Common Data Service (CDS)).
  • Tables and columns.
  • Relationships and environments.
  • Business rules.
  • Power Platform Admin Center.

Building Simple Applications with Power Apps.

  • Connecting with common data sources.
  • Different app types.
  • Low-code artificial intelligence (AI).
  • Security, governance, and reporting features.
  • Power Apps Portals.

Creating Different Applications with Power Apps.

  • Building a canvas app.
  • Basic elements and functions.
  • Connecting to a data source.
  • Creating a model-driven app.
  • Building blocks (data, user interface, logic, visualization).
  • Creating a form.
  • Security and access control.

Automating Processes with Power Automate.

  • Flow types.
  • Flow templates.
  • Recurring flows.
  • Button flows.
  • Approval requests.
  • Business process flows.

Generating Reports and Dashboards with Power BI.

  • Power BI parts, concepts, and capacities.
  • Components (workspaces, datasets, reports, dashboards).
  • Template apps.
  • Visualizations (charts, KPIs, maps, matrices, etc.).
  • Data filters and buttons.
  • Transforming and cleaning data.
  • Working with aggregates.
  • Security and administration.
  • Building a simple dashboard.

Creating Chatbots with Power Virtual Agents.

  • Key components.
  • Creating a chatbot.
  • Working with topics.
  • Testing and publishing.
  • Analyzing a chatbot.

Exploring Advanced Power Platform Topics.

  • Administration guide.
  • Application lifecycle management.
  • Power Platform best practices.
  • AI Builder.

Troubleshooting.

Summary and Conclusion.

Requirements

  • A fundamental understanding of Microsoft Office 365 and Dynamics 365 concepts.
  • Familiarity with application development, workflow automation, and data analysis.

Audience

  • Business staff.
  • Managers.
  • Developers.
  • Data analysts.
 14 Hours

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