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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

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