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Course Outline
Overview of Microsoft Power Platform
- General assessment of the Power Platform
- Core components and inter-system interactions
- Configuration of the operational environment
- Introduction to Common Data Service (Dataverse)
- Comprehension of connectors and integration frameworks
Power Apps
- Foundational concepts of Power Apps
- Categorization of application types: Canvas, Model-driven, and Portals
- Strategic planning and deployment of app environments
- User interface design principles
- Incorporation of data sources
- Application of formulas and control elements
- Basics of data modeling
- Form customization and implementation of business rules
- Implementation of automated workflows
- Deployment of custom connectors
- Synergy with other Power Platform components
- Performance monitoring and analytical reporting
Power Automate
- Assessment of automation capabilities
- Classification of flow types: Automated, Button-triggered, Scheduled, and Business Process Flows
- Identification of trigger events and corresponding actions
- Utilization of expressions and conditional logic
- Protocols for error handling and debugging
- Leveraging AI Builder functionalities
- Management of approvals and complex procedural tasks
- Establishment of best practices for flow efficiency
Dataverse
- Fundamental introduction to Dataverse
- System architecture and data governance
- Security framework design
- Creation and administration of entities
- Maintenance of relationships and data integrity
- Deployment of calculated fields and roll-up fields
- Customization of forms, views, and dashboards for government operations
Power BI
- Core principles of Power BI
- Data acquisition and preparation methodologies
- Construction of datasets and data models
- Development of effective reporting dashboards
- Distribution of insights across organizational units
- Application of DAX and advanced modeling techniques
- Administrative controls and workspace management
Power Virtual Agents
- Fundamentals of Power Virtual Agents
- Strategy and development of automated agents
- Navigation and use of the authoring interface
- Integration of agents with external data sources
- Management of user input and output parameters
- Enhancement of agent capabilities through artificial intelligence
- Tracking and analysis of agent performance metrics
Conclusion and Strategic Direction
Requirements
- Fundamental comprehension of organizational workflows
- Essential proficiency in information technology and database management
Intended Audience
- Information technology specialists
- Data analysts
- Business analysts
35 Hours
Testimonials (1)
Practical and hands on labs on report developmemt using Power BI The labs were excellent and the trainer offered very good hands on sessions