Microsoft Power Automate RPA Developer

• Basic understanding of business processes and automation
• Familiarity with Microsoft 365 tools (e.g., Excel, Outlook)
• No prior coding experience is required, but logic-based thinking is helpful

Audience

• RPA developers and automation specialists
• Business analysts and process improvement professionals
• IT professionals involved in business automation

Microsoft Power Automate is a low-code automation platform that enables the creation of automated workflows across Microsoft and third-party services, including desktop RPA.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to build end-to-end robotic process automation (RPA) solutions using Microsoft Power Automate Desktop and cloud flows.

By the end of this training, participants will be able to:

• Create attended and unattended RPA flows using Power Automate Desktop.
• Automate legacy applications and UI-based workflows.
• Integrate RPA with cloud flows for end-to-end automation.
• Use AI Builder, approvals, and triggers to enhance automation.
• Apply best practices for debugging, exception handling, and governance.

Format of the Course

• Interactive lecture and discussion.
• Hands-on lab exercises.
• Live demonstrations and real-world case studies.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Power Automate RPA

• What is RPA and why it matters
• Overview of Microsoft Power Automate ecosystem
• Attended vs. unattended bots

Installing and Configuring Power Automate Desktop

• Installation and setup
• Navigating the desktop designer
• Managing environments and gateways

Building Desktop Flows

• Recording UI elements and actions
• Working with conditions, loops, and variables
• Interacting with Excel, browsers, file systems, and Windows apps

Integrating with Cloud Flows

• Triggering desktop flows from Power Automate cloud
• Connecting to Microsoft 365 and external services
• Combining UI and API-based automation

Advanced Automation Scenarios

• Error handling and logging
• Working with credentials and secure inputs
• Using AI Builder for document processing

Monitoring and Managing Flows

• Debugging and testing tools
• Using analytics and reporting dashboards
• Deploying and managing bots in production

Governance and Best Practices

• Data loss prevention and access control
• Environment strategy and lifecycle management
• RPA Center of Excellence recommendations

Summary and Next Steps

• Review of key concepts
• Where to go next: certification and community resources
• Next steps in Power Platform automation journey