PL-500: Microsoft Power Automate RPA Developer

Offered by Linux Training

The PL-500: Microsoft Power Automate RPA Developer course at Linux Training is designed for developers, IT professionals, and learners who want to build skills in robotic process automation (RPA) using Microsoft Power Automate.

This course focuses on automating repetitive tasks, streamlining business processes, and improving productivity by creating intelligent automation solutions. Learners will gain hands-on experience in designing, developing, and managing automated workflows using Power Automate.

Course Overview

This program provides in-depth knowledge of RPA concepts and Power Automate tools, enabling learners to automate both desktop and cloud-based processes. It helps in reducing manual effort and increasing operational efficiency across various business functions.

What You Will Learn

  • Introduction to RPA and Automation Concepts
  • Microsoft Power Automate (Cloud & Desktop)
  • Creating Automated Workflows
  • UI Automation Techniques
  • Data Integration and Process Automation
  • Error Handling and Debugging
  • Automation Best Practices

Course Duration

Duration: 30 to 45 Days

Why Choose This Course?

  • High-demand automation skill
  • Hands-on real-time automation projects
  • Improves productivity and efficiency
  • Industry-relevant tools and use cases
  • Guidance from experienced trainers

Career Opportunities

After completing this course, you can explore roles such as:

  • RPA Developer
  • Automation Developer
  • Process Automation Engineer
  • Power Platform Developer
  • IT Support Automation Specialist

Who Can Join?

  • Developers and IT professionals
  • Students interested in automation
  • Business analysts and process managers
  • Anyone interested in workflow automation

Automate Your Career with RPA Skills

Join Linux Training and learn how to build powerful automation solutions using Microsoft Power Automate to boost your career in the automation and IT industry.

PL-500: Microsoft Power Automate RPA Developer

Modules

1. Design automations (25–30%)

Design automations using Power Automate features and capabilities

  • Leverage the Power Automate ecosystem
  • Differentiate between cloud flows and desktop flows
  • Design automations using desktop flows and cloud flows
  • Differentiate trigger types for cloud flows
  • Differentiate options for interacting with target applications and browsers
  • Differentiate the different methods for running a desktop flow
  • Assess the ability to run cloud and desktop flows concurrently
  • Recommend running desktop flows attended versus unattended
  • Differentiate HTTP actions in cloud and desktop flows
  • Assess if work queues are applicable for the automation
  • Design custom actions

    • Design automations using other Microsoft Power Platform features and capabilities

  • Design automations that include canvas and model-driven apps
  • Design automations using connectors, custom connectors, connection references, and connections for cloud flows
  • Design automations that include Microsoft Dataverse

    • Design automations that analyze and enhance data and documents

  • Differentiate Microsoft AI options for processing documents in desktop and cloud flows
  • Differentiate Microsoft AI options for processing data in desktop and cloud flows
  • Recommend optical character recognition (OCR) capabilities in desktop flows
  • Recommend Document Automation Toolkit for use in automation design

    • Design automations using scripting languages in desktop flows

  • Design automations using scripting languages including PowerShell and Visual Basic Script (VBScript)
  • Recommend automation use cases that use JavaScript
  • Design an automation that uses the document object model (DOM)

    • 2. Develop automations (45–50%)

    Develop cloud flows

  • Develop a cloud flow that calls a desktop flow
  • Develop and use child cloud flows including passing and returning data
  • Perform actions in cloud flows by calling external APIs
  • Implement trigger conditions and concurrency in cloud flows
  • Implement timeout and retry policies in cloud flows
  • Implement data objects and data operations in cloud flows
  • Perform text parsing including JSON, XML, and CSV in cloud flows

    • Develop desktop flows

  • Implement UI options
  • Implement datatables, lists, and custom objects in desktop flows
  • Implement subflows in desktop flows
  • Perform actions in desktop flows by calling external APIs
  • Implement timeout and retry in desktop flows
  • Implement data objects and data operations in desktop flows
  • Perform text parsing including JSON, XML, and CSV in desktop flows
  • Implement custom actions in desktop flows

    • Implement logic in cloud and desktop flows

  • Implement flow control in cloud and desktop flows including loops
  • Implement expressions in cloud flows
  • Implement variable actions for cloud and desktop flows
  • Implement secure input and output data in actions in cloud flows
  • Implement secure variables in desktop flows
  • Implement priority for desktop flows in a queue
  • Implement exception handling blocks in cloud and desktop flows to handle system exceptions
  • Implement error handling routines in cloud and desktop flows to handle business exceptions
  • Implement work queues in cloud and desktop flows

    • Build custom connectors and implement connector configurations

  • Build a custom connector
  • Implement authentication for custom connectors
  • Implement custom connector policy templates
  • Develop code in a custom connector

    • Perform automation infrastructure management

  • Recommend credential management practices
  • Utilize on-premises data gateway to connect resources from cloud flows
  • Build components in Microsoft Dataverse solutions

    • Test automations and finalize development efforts

  • Test a cloud flow
  • Test a desktop flow
  • Utilize environment variables and configuration files to manage configurations
  • Utilize debugging features in cloud and desktop flows

    • 3. Deploy and manage automations (20–25%)

    Perform target environment preparation

  • Implement Microsoft Power Platform application lifecycle management (ALM)
  • Differentiate credentials used for different environments
  • Recommend how to deploy solution components to other environments
  • Build virtual desktop environments for unattended desktop flow execution

    • Assess data loss prevention (DLP) policies for RPA execution

  • Assess Microsoft Power Platform DLP policies
  • Assess how DLP policies impact actions in cloud and desktop flows
  • Assess how DLP policies apply to custom connectors

    • Implement access to RPA components

  • Perform sharing of cloud and desktop flows
  • Perform sharing of machines and machine groups
  • Recommend security roles required to run and monitor cloud and desktop flows
  • Implement service accounts and service principals

    • Implement machine groups and queues required for desktop flow automations

  • Assess machine and machine group requirements
  • Perform machine registration management
  • Perform machine group management
  • Implement load balancing of desktop flows by using machine groups and queues
  • Perform operations on the run queue to manage desktop flows
  • Analyze cloud and desktop flow run history from the Power Automate portal :contentReference[oaicite:0]{index=0}

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