Power Automate Advanced

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Duration 3 days – 21 hrs

 

Overview

 

This advanced-level Power Automate training course is designed for professionals who want to master complex automation scenarios, integrate custom APIs, leverage AI, and implement enterprise-level governance. Participants will explore Power Automate Desktop (RPA), custom connectors, HTTP requests, error handling, security best practices, and advanced AI-powered workflows. This course is hands-on and includes real-world automation projects.

 

Objectives

 

  • Build and optimize complex workflows using Power Automate.
  • Integrate custom APIs and work with HTTP requests.
  • Leverage Power Automate Desktop (RPA) for legacy system automation.
  • Use AI-powered automation with AI Builder.
  • Implement advanced error handling, logging, and monitoring.
  • Automate large-scale business processes across departments.
  • Manage security, governance, and compliance in Power Automate.
  • Use advanced expressions and custom connectors for enhanced automation.

 

Audience

 

  • IT professionals and automation specialists.
  • Business process analysts working on enterprise-wide automation.
  • Developers and citizen developers building advanced workflows.
  • Microsoft 365 administrators responsible for governance and compliance.
  • Professionals integrating Power Automate with third-party systems and APIs.

Pre- requisites 

  • Completion of Power Automate Intermediate Training or equivalent experience.
  • Hands-on experience with Microsoft 365 services (SharePoint, Outlook, Teams, Power BI).
  • Basic knowledge of JSON, HTTP requests, and APIs.
  • Familiarity with Power Automate expressions and dynamic content.

 

Course Content

 

Module 1: Advanced Flow Design & Optimization

 

  • Deep dive into flow structure and best practices.
  • Using nested loops, parallel branches, and switch cases.
  • Implementing stateful vs. stateless workflows.
  • Managing flow concurrency and performance tuning.

 

Module 2: Custom API Integration & HTTP Requests

 

  • Introduction to REST APIs and HTTP connectors.
  • Sending and receiving JSON data using HTTP actions.
  • Handling OAuth authentication and API keys.
  • Using Power Automate with third-party APIs (e.g., Salesforce, SAP, Twilio).
  • Calling Azure Functions and Logic Apps for advanced automation.

 

Module 3: Power Automate Desktop (RPA) for Enterprise Automation

 

  • Introduction to Robotic Process Automation (RPA).
  • Recording desktop actions and UI automation.
  • Working with unattended RPA for legacy systems.
  • Using OCR (Optical Character Recognition) for document automation.
  • Implementing hybrid automation with cloud and desktop flows.

 

Module 4: AI-Powered Automation with AI Builder

 

  • Introduction to AI Builder and machine learning models.
  • Automating workflows with image and text recognition.
  • Using AI to classify documents and emails.
  • Implementing sentiment analysis for customer feedback processing.

 

Module 5: Advanced Error Handling & Logging

 

  • Implementing Try-Catch-Finally error handling patterns.
  • Using run-after conditions for error recovery.
  • Logging errors to SharePoint, Power BI, and Dataverse.
  • Automating failure notifications with Teams and Outlook.

 

Module 6: Governance, Security, and Compliance

 

  • Managing Data Loss Prevention (DLP) policies.
  • Implementing Role-Based Access Control (RBAC) for flows.
  • Handling sensitive data securely in automation.
  • Monitoring and managing flow analytics and logs.

 

Module 7: Enterprise-Level Process Automation

 

  • Automating complex business workflows across departments.
  • Integrating ERP, CRM, and financial systems with Power Automate.
  • Implementing multi-step approvals with escalations.
  • Designing scalable automation architectures.

 

Module 8: Real-World Use Cases & Final Project

 

  • Automating invoice processing with OCR and AI Builder.
  • Building an automated helpdesk system with Teams and SharePoint.
  • Creating a compliance tracking system with Power Automate and Dataverse.
  • Final project: Designing and deploying an enterprise automation workflow.

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