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Course Outline

Introduction to Microsoft Power Automate

  • Overview of Power Automate
  • Available versions and applicable use cases
  • Differences between Cloud (online) and Desktop workflows
  • The key advantages of automation
  • Understanding Low-Code and No-Code workflows

Workflow Types

  • Automated flows and their triggers
  • Cyclic flows and schedule management
  • Instant flows initiated by user actions
  • Integration with Office 365 applications

Using Microsoft Power Automate

  • Initial steps with Power Automate
  • Navigating the application interface
  • Automating processes using templates
  • Building a workflow from scratch step by step
  • Creating cloud-based workflows with the Data Service Connector
  • Editing existing workflows
  • Publishing and activating flows
  • Toggling workflow status

Workflows in Office 365 Apps

  • Integration strategies for Office 365
  • Online flows in SharePoint 365
  • Workflows for Outlook 365 email management
  • Automation capabilities in OneDrive for Business
  • Workflows within the Forms application
  • Connecting to web services
  • Creating flows for the Dataverse service

SharePoint 365 Workflows

  • Managing lists and document libraries
  • File approval and version control
  • Handling document workflows
  • Integration with the Teams application
  • Task approval processes in Teams

Practical Automation

  • Power Platform data connectors: standard and premium
  • Implementing triggers
  • Configuring actions
  • Conditional logic using IF and SWITCH functions
  • List operations using the 'apply to each' function
  • Programming loops with Do/Until logic
  • Using expressions and variables
  • Expression functions for strings, numbers, and time

Flow Administration and Maintenance

  • Flow management techniques
  • Maintenance best practices
  • Performance history review, analysis, and error diagnosis
  • Workflow sharing through export and import
  • Understanding the workflow environment

Requirements

This general-purpose training is designed for professionals involved in processing and analyzing large datasets, including analysts, accountants, software developers, and testers. The curriculum also covers topics related to working with SQL Server.

 14 Hours

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Price per participant

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