PL-500T00: Microsoft Power Automate RPA Developer

Course Modules

Module 1: Introduction to RPA with Power Automate

• Overview of robotic process automation

• Understanding Power Automate and its role in the Microsoft Power Platform

• Use cases for attended and unattended bots

• Exploring the Power Automate interface and core components

Module 2: Building Desktop Flows with Power Automate

• Creating desktop flows using Power Automate for desktop

• Using UI and web recorders to capture automation steps

• Handling user inputs and variables

• Automating legacy systems and desktop applications

Module 3: Automating Business Processes with Cloud Flows

• Building cloud flows to connect apps and services

• Triggers, actions, and expressions in cloud flows

• Integrating desktop flows with cloud flows

• Real-world example: Automating invoice processing

Module 4: Integrating APIs and Services

• Calling REST APIs and using custom connectors

• Integrating Microsoft 365, Dynamics 365, SharePoint, Teams, and external systems

• Automating multi-step business workflows with cross-platform connectivity

Module 5: Working with AI and Intelligent Automation

• Using AI Builder in Power Automate for intelligent document processing

• Extracting data from forms, emails, and images

• Applying AI models to decision-making in automation workflows

Module 6: Managing Errors and Exceptions

• Handling exceptions and applying retry policies

• Logging, debugging, and error management in desktop flows

• Using conditional logic and branching to build robust flows

Module 7: Securing and Governing RPA Solutions

• Implementing security best practices for RPA

• Managing credentials with Microsoft Entra and secure inputs

• Applying governance policies and data loss prevention (DLP) rules

• Understanding environments, solutions, and sharing best practices

Module 8: Deploying and Maintaining RPA Solutions

• Packaging desktop flows in solutions

• Scheduling unattended flows and using virtual machines

• Monitoring and maintaining RPA performance

• Hands-on labs: End-to-end bot deployment project