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Duration 35 hours
Course Outline
Fundamental Overview of the Microsoft Power Platform
- Comprehensive review of the Power Platform architecture
- Analysis of core components and their interoperability
- Protocols for establishing a secure operating environment
- Assessment of Common Data Service (DataVerse) capabilities
- Strategic evaluation of connectors and integration frameworks
Power Apps
- Foundational principles of Power Apps
- Classification of application types (Canvas, Model-driven, and Portal)
- Strategic planning and configuration of the application environment
- Architecting user interface standards
- Implementation of data source integrations
- Application of formulas and interactive controls
- Essentials of data modeling
- Configuration of forms and enforcement of business rules
- Implementation of automated workflow processes
- Utilization of custom connectors
- Interoperability with broader Power Platform services
- Ongoing monitoring and performance analytics
Power Automate
- Scope of automation capabilities
- Categorization of flow types (Automated, Button, Scheduled, and Business process flows)
- Configuration of event triggers and action execution
- Application of expressions and conditional logic
- Procedures for error management and debugging
- Leveraging AI Builder functionalities
- Management of approval hierarchies and complex procedures
- Best practices for flow efficiency and reliability
DataVerse
- Introduction to DataVerse standards
- Architectural considerations and data governance
- Designing security models and access controls
- Creation and administration of entities
- Establishing relationships and ensuring data integrity
- Implementation of calculated fields and roll-up aggregates
- Customization of forms, views, and executive dashboards
Power BI
- Core competencies in Power BI
- Data acquisition and preparation workflows
- Construction of datasets and data models
- Design of decision-support dashboards
- Dissemination of insights across organizational units
- Application of DAX and advanced modeling techniques
- Administrative controls and workspace oversight
Power Virtual Agents
- Overview of Power Virtual Agents capabilities
- Planning and construction of conversational agents
- Navigation of the authoring interface
- Integration of agents with backend data sources
- Management of user interaction inputs and outputs
- Enhancement of agent capabilities through artificial intelligence
- Monitoring and evaluation of agent performance metrics
Conclusion and Recommended Action Plan
Requirements
- Familiarity with core business process methodologies
- Foundational knowledge of IT infrastructure and database management
Target Audience
- Information technology professionals
- Data analysts
- Business analysts
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