Integrating Desktop Flows with Cloud Flows and RPA Scenarios - SkilBrill

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Home - Lessons - Power Automate Training - Module 6 — Desktop Flows and RPA - Integrating Desktop Flows with Cloud Flows and RPA Scenarios

Power Automate Training Integrating Desktop Flows with Cloud Flows and RPA Scenarios

Power Automate Training

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Module 1 — Power Automate Foundations and Architecture

Power Platform Ecosystem and Power Automate Licensing

Cloud Flows, Desktop Flows, and Business Process Flows

Connectors, Triggers, Actions, and Expressions

Flow Lifecycle: Design, Test, Deploy, Monitor

Module 2 — Building Cloud Flows with Triggers and Actions

Automated, Instant, Scheduled, and Approval Triggers

Working with Variables, Arrays, and Conditions

Loops, Scopes, Parallel Branches, and Apply to Each

Dynamic Content, Expressions, Error Handling, and Run After

Module 3 — Advanced Flow Logic and Data Operations

Compose, Filter Array, Select, and Create HTML Table

Data Parsing: XML, JSON, and CSV Handling

Conditionals, Switches, and Nested Logic

Date/Time Operations and Approval Responses

Module 4 — Connectors and Custom Connectors

Standard and Premium Connectors Overview

Microsoft 365, SharePoint, Teams, and Outlook Integration

Database Connectors: SQL Server, Dataverse, Excel Online

Building Custom Connectors with OpenAPI and Postman

Module 5 — Dataverse and Dynamics 365 Integration

Dataverse Tables, Rows, and Relationships

Triggering Flows from Dataverse Events

CRUD Operations and Relate/Unrelate Actions

Business Rules, Calculated Fields, and Model-Driven Apps

Module 6 — Desktop Flows and RPA

Power Automate Desktop Installation and Recorder

UI Automation: Mouse, Keyboard, and Form Actions

Variables, Loops, Conditionals, and Subflows in Desktop

Integrating Desktop Flows with Cloud Flows and RPA Scenarios

Module 7 — Business Process Flows and Approval Workflows

Designing Business Process Flows with Stages and Steps

Branching and Conditional Logic in BPFs

Advanced Approval Patterns: Serial, Parallel, Dynamic

Delegation, Reassignment, Monitoring, and Reporting

Module 8 — AI Builder and Cognitive Actions

AI Builder Models: Form Processing, Prediction, Entity Extraction

Sentiment Analysis, Text Recognition, and Language Detection

Integrating AI Builder with Cloud Flows

Custom Model Training, Evaluation, and Responsible AI

Module 9 — DevOps, ALM and Governance

Solutions, Managed/Unmanaged Layers, and Environment Strategy

CI/CD with Azure DevOps and Power Platform Build Tools

DLP Policies, Connector Classification, and Data Loss Prevention

Flow Ownership, Sharing, Monitoring, and Center of Excellence

Module 10 — Real-World Power Automate Projects

Automated Email Notification and Document Approval System

Employee Onboarding Workflow across SharePoint, Teams, and AD

Invoice Processing with AI Builder and Dataverse

Sales Lead Routing, CRM Integration, and IT Ticket Automation

Module 11 — Performance, Troubleshooting and Best Practices

Flow Performance Optimization and Throttling

Run History, Action Inputs/Outputs, and Debugging

Common Errors and Resolution Patterns

Pagination, Batching, and Security Best Practices

Module 12 — Certification and Career Development

PL-900, PL-100, PL-200, and PL-500 Exam Paths

Power Automate Developer, Architect, and Admin Roles

Interview Questions and Scenario-Based Discussions

Portfolio Building, Resume, LinkedIn, and Job Search Strategy

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