Course Outline
Introduction to Power Automate RPA
- Defining RPA and its significance
- Overview of the Microsoft Power Automate ecosystem
- Distinguishing between attended and unattended bots
Installing and Configuring Power Automate Desktop
- Setting up the installation
- Navigating the desktop designer interface
- Managing environments and gateways
Building Desktop Flows
- Recording UI elements and actions
- Utilizing conditions, loops, and variables
- Interacting with Excel, browsers, file systems, and Windows applications
Integrating with Cloud Flows
- Initiating desktop flows from Power Automate cloud
- Connecting with Microsoft 365 and external services
- Combining UI and API-based automation methods
Advanced Automation Scenarios
- Handling errors and implementing logging
- Managing credentials and secure inputs
- Applying AI Builder for document processing
Monitoring and Managing Flows
- Utilizing debugging and testing tools
- Using analytics and reporting dashboards
- Deploying and overseeing bots in production environments
Governance and Best Practices
- Implementing data loss prevention and access controls
- Strategy for environments and lifecycle management
- Recommendations for an RPA Center of Excellence
Summary and Next Steps
- Reviewing key concepts
- Identifying next steps: certification and community resources
- Continuing the Power Platform automation journey
Requirements
- Foundational understanding of business processes and automation
- Familiarity with Microsoft 365 tools (such as Excel and Outlook)
- While prior coding experience is not mandatory, logical thinking skills are advantageous
Target Audience
- RPA developers and automation specialists
- Business analysts and process improvement professionals
- IT professionals engaged in business automation initiatives
Testimonials (3)
Practical and hands on labs on report developmemt using Power BI The labs were excellent and the trainer offered very good hands on sessions
Sinzala Sichaanji - Bank of Zambia
Course - Mastering Power Platform: Power Apps, Power Automate, DataVerse, Power BI, and Power Virtual Agents
We did quite complex examples, so we could get a feeling of how the real work with Power Automate Desktop can look like in the real world scenario.
Michal Strnad - MicroNova AG
Course - Microsoft Flow/Power Automate
Dynamic, adaptive, and informative