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Course Outline

Introduction to Power Automate RPA

  • The definition of RPA and its strategic importance.
  • An overview of the Microsoft Power Automate ecosystem.
  • Distinguishing between attended and unattended bots.

Installing and Configuring Power Automate Desktop

  • Installation procedures and initial setup.
  • Navigating the desktop designer interface.
  • Managing environments and gateways.

Building Desktop Flows

  • Recording UI elements and executing actions.
  • Utilizing conditions, loops, and variables effectively.
  • Interacting with Excel, web browsers, file systems, and Windows applications.

Integrating with Cloud Flows

  • Initiating desktop flows from Power Automate cloud.
  • Establishing connections to Microsoft 365 and external services.
  • Merging UI-driven and API-based automation strategies.

Advanced Automation Scenarios

  • Implementing error handling and logging mechanisms.
  • Managing credentials and secure inputs.
  • Leveraging AI Builder for document processing tasks.

Monitoring and Managing Flows

  • Utilizing debugging and testing tools.
  • Interpreting analytics and reporting dashboards.
  • Deploying and managing bots in production environments.

Governance and Best Practices

  • Enforcing data loss prevention and access controls.
  • Developing an environment strategy and lifecycle management plan.
  • Recommendations for an RPA Centre of Excellence.

Summary and Next Steps

  • A review of key concepts.
  • Identifying next steps: certification paths and community resources.
  • Continuing the Power Platform automation journey.

Requirements

  • A fundamental understanding of business processes and automation principles.
  • Proficiency with Microsoft 365 tools (such as Excel and Outlook).
  • While no prior coding experience is mandatory, logic-based thinking is advantageous.

Audience

  • RPA developers and automation specialists.
  • Business analysts and process improvement professionals.
  • IT professionals engaged in business automation initiatives.
 28 Hours

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