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Introduction to Microsoft Power Platform

• Overview of Power Platform

• Key components and their interactions

• Setting up the environment

• Overview of common data service (DataVerse)

• Understanding connectors and integrations

Power Apps

• Introduction to Power Apps

• Types of Power Apps (Canvas, Model-driven, and Portal)

• Planning and setting up an app environment

• Designing user interfaces

• Integrating data sources

• Using formulas and controls

• Data modeling basics

• Form customization and business rules

• Automated workflows

• Using custom connectors

• Integration with other Power Platform components

• Monitoring and analytics

Power Automate

• Overview of automation capabilities

• Different types of flows (Automated, Button, Scheduled, and Business process flows)

• Triggering events and actions

• Working with expressions and conditions

• Error handling and debugging

• Using AI Builder

• Handling approvals and complex processes

• Best practices for efficient flows

DataVerse

• Introduction to DataVerse

• Architecture and data management

• Security modeling

• Creating and managing entities

• Relationships and data integrity

• Using calculated fields and roll-up fields

• Customizing forms, views, and dashboards

Power BI

• Fundamentals of Power BI

• Data sourcing and preparation

• Building datasets and data models

• Designing effective dashboards

• Sharing insights across the organization

• DAX and advanced data modeling

• Administration and workspace management

Power Virtual Agents

• Introduction to Power Virtual Agents

• Planning and creating bots

• Understanding the authoring canvas

• Integrating bots with data sources

• Handling user inputs and outputs

• Using AI to enhance bot capabilities

• Monitoring and analyzing bot performance

Summary and Next Steps