Course Objective
To build end-to-end automation expertise using Microsoft Power Automate (Cloud Flows and Desktop Flows / RPA) to eliminate manual data entry, streamline approvals, and automate repetitive desktop tasks across enterprise systems.
Participants learn how to orchestrate API-driven cloud workflows together with attended and unattended RPA bots controlling legacy applications in a unified hybrid architecture.
Target Audience and Prerequisites
- Target Audience: Process automation specialists, RPA developers, systems analysts, and operational excellence teams.
- Prerequisites: Basic algorithmic and conditional flow logic, familiarity with JSON data structures, and foundational knowledge of Microsoft 365 services.
Key Takeaways and Focus Areas
- Developing resilient Cloud Flows with
automated,instant, andscheduledtriggers, expressions, and parallel branches. - Automating web, desktop, Excel, and SAP interfaces using Power Automate for Desktop and
UI automationselectors. - Implementing
Try-Catch-Finallyexception handling, bottleneck discovery via Process Mining, and intelligent document processing with AI Builder.
Curriculum
Cloud Flows Architecture, Expressions, and Data Manipulation
- Trigger types, trigger conditions, OData filter queries, and loop concurrency optimization
- Workflow Definition Language (WDL) expressions, JSON parse/select operations, and multi-stage Approval flows
RPA Development with Power Automate for Desktop
- Desktop and web recorders, dynamic UI selector customization, variables, and modular subflows
- File and data automation across Excel, PDFs, email, and legacy application interfaces
Hybrid Orchestration, AI Builder, and Exception Handling
- Triggering Attended and Unattended RPA bots from Cloud Flows via Machine Runtime and Gateways
- Try-Catch-Finally error handling with Scope blocks, retry policies, and AI Builder document processing
Process Mining, Performance, and Operational Monitoring
- Discovering process bottlenecks and automation opportunities with Process Mining and Task Mining
- Run history diagnostics, work queues, connection references, and API request quota optimization
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