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Course Outline

Introduction to Microsoft Power Automate

  • Understanding Power Automate
  • Available versions and usage contexts
  • Cloud (online) versus desktop workflows
  • The advantages of automation
  • Low-code and no-code workflow paradigms

Workflow Types

  • Automated flows and their triggers
  • Scheduled flows and recurring tasks
  • Instant flows and user-initiated actions
  • Power Automate integration with Office 365 applications

Operational Use of Microsoft Power Automate

  • Getting started with Power Automate
  • Navigating the application interface
  • Automating processes based on templates
  • Building workflows from the ground up
  • Creating cloud-based workflows with the Data Service Connector
  • Modifying existing workflows
  • Publishing and activating flows
  • Enabling and disabling workflows

Workflows in Office 365 Applications

  • Integrating with the Office 365 suite
  • Online flows within SharePoint 365
  • Workflows supporting Outlook 365 email management
  • Automation capabilities in OneDrive for Business
  • Workflows in 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
  • Overseeing document workflows
  • Interacting with the Teams application
  • Task approval processes within Teams

Practical Automation Techniques

  • Power Platform data connectors: standard and premium tiers
  • Incorporating triggers
  • Adding actions
  • Conditional logic using IF and SWITCH functions
  • Iterating through lists using the Apply to each feature
  • Implementing loops with Do/Until logic
  • Utilizing expressions and variables
  • Functions within expressions for strings, numbers, and time

Flow Administration and Maintenance

  • Managing flow configurations
  • Maintaining active flows
  • Reviewing performance history and diagnosing errors
  • Sharing workflows via export and import
  • Managing the workflow environment

Requirements

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

 14 Hours

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Price per participant

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