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Course Outline

Introduction to Microsoft Power Automate

  • Understanding what Power Automate is.
  • Available versions and use cases for Power Automate.
  • Differentiating between cloud (online) and desktop workflows.
  • The benefits of automation.
  • Low-Code and No-Code workflow options.

Modes of Workflows

  • Automated flows and their triggers.
  • Cyclic flows and schedule management.
  • Instant flows - actions triggered by users.
  • Leveraging Power Automate with Office 365 applications.

Working with Microsoft Power Automate

  • Getting started with Power Automate.
  • Navigating the application interface.
  • Automating processes based on templates.
  • Creating a workflow from scratch, step by step.
  • Building a cloud-based workflow using the Data Service Connector.
  • Editing existing workflows.
  • Publishing and launching flows.
  • Enabling and disabling a workflow.

Workflows in Office 365 Applications

  • Integration with Office 365.
  • Online flows within SharePoint 365.
  • Workflows supporting Outlook 365 email.
  • Automation capabilities in OneDrive for Business.
  • Workflows within the Forms application.
  • Connecting to web services.
  • Creating a flow for the Dataverse service.

SharePoint 365 Workflows

  • Managing lists and document libraries.
  • Approval processes and file versioning.
  • Managing document workflows.
  • Working with the Teams application.
  • Approving tasks within the Teams application.

Automation in Practice

  • Data connectors in Power Platform: standard and premium options.
  • Adding triggers to flows.
  • Adding actions to flows.
  • Conditional execution using IF and SWITCH functions.
  • Working with lists: utilizing the 'apply to each' functionality.
  • Programming loops: implementing Do/Until logic.
  • Using expressions and variables.
  • Functions in expressions: handling strings, numbers, and time.

Administration and Maintenance of Flows

  • Managing flows effectively.
  • Maintaining flows over time.
  • Reviewing performance history, analyzing metrics, and diagnosing errors.
  • Sharing workflows: exporting and importing processes.
  • Understanding the workflow environment.

Requirements

A general-purpose training course aimed at professionals involved in processing and analyzing large volumes of data, including analysts, accountants, software developers, and testers. The curriculum covers working with SQL Server.

 14 Hours

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