Course Outline
Introduction to Power Automate RPA
- Understanding RPA and its significance
- Overview of the Microsoft Power Automate ecosystem
- Differences between attended and unattended bots
Setting Up Power Automate Desktop
- Installation and initial configuration
- Navigating the desktop designer interface
- Managing environments and gateways
Developing Desktop Flows
- Recording UI elements and actions
- Utilizing conditions, loops, and variables
- Interacting with Excel, browsers, file systems, and Windows applications
Cloud Flow Integration
- Triggering desktop flows via Power Automate cloud
- Connecting to Microsoft 365 and external services
- Combining UI-based and API-based automation
Advanced Automation Scenarios
- Error handling and logging strategies
- Managing credentials and secure inputs
- Employing AI Builder for document processing
Flow Monitoring and Management
- Using debugging and testing tools
- Leveraging analytics and reporting dashboards
- Deploying and maintaining bots in production environments
Governance and Best Practices
- Data loss prevention and access control measures
- Environment strategy and lifecycle management
- Recommendations for establishing an RPA Center of Excellence
Summary and Future Directions
- Recap of key concepts
- Pathways for further growth: certifications and community resources
- Advancing your journey in Power Platform automation
Requirements
- A fundamental understanding of business processes and automation concepts
- Familiarity with Microsoft 365 tools, such as Excel and Outlook
- No prior coding experience is necessary, though a logical mindset is beneficial
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