Get in Touch

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

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories