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 Duration 35 hours

Course Outline

Getting Started with Microsoft Power Platform

  • General overview of the Power Platform
  • Core components and their interdependencies
  • Initializing the development environment
  • Introduction to Common Data Service (DataVerse)
  • Grasping connectors and integration points

Power Apps

  • Foundations of Power Apps
  • App categories (Canvas, Model-driven, and Portal)
  • Strategic planning and environment setup for apps
  • Crafting user interfaces
  • Connecting various data sources
  • Application of formulas and controls
  • Basics of data modeling
  • Customizing forms and defining business rules
  • Setting up automated workflows
  • Leveraging custom connectors
  • Connecting with other Power Platform elements
  • Performance monitoring and analytics

Power Automate

  • Scope of automation features
  • Flow varieties (Automated, Button, Scheduled, and Business process flows)
  • Configuring triggers and actions
  • Utilizing expressions and conditional logic
  • Addressing errors and debugging
  • Incorporating AI Builder
  • Managing approvals and multifaceted processes
  • Recommended practices for flow efficiency

DataVerse

  • Introduction to DataVerse concepts
  • System architecture and data stewardship
  • Security framework modeling
  • Definition and administration of entities
  • Managing relationships and data consistency
  • Implementing calculated and roll-up fields
  • Adapting forms, views, and dashboards

Power BI

  • Core principles of Power BI
  • Data extraction and preprocessing
  • Constructing datasets and analytical models
  • Creating impactful dashboards
  • Distributing insights organization-wide
  • DAX and sophisticated data modeling techniques
  • Administrative tasks and workspace oversight

Power Virtual Agents

  • Introduction to Power Virtual Agents
  • Planning and bot creation workflow
  • Navigating the authoring canvas
  • Linking bots to data sources
  • Managing user interactions and responses
  • Enhancing bot functionality with AI
  • Tracking and evaluating bot performance

Conclusion and Future Directions

Requirements

  • Fundamental knowledge of business operations
  • Basic IT and database familiarity

Target Audience

  • IT specialists
  • Data analysts
  • Business analysts

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