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Duration: 2 days

This training is best for:  

  • Technical consultants, Developers .

The Power Platform advanced bootcamp covers all aspects in building, extending and implementing the Power Platform products in extensive technical detail for professionals (Technical Consultants and Developers), with 2-5+ years’ experience in Dynamics 365 Customer Engagement deployment and customization.

You can take Power Platform advanced preparation day   training to cover some parts of Dataverse/Dynamics 365 (CRM) configuration knowledge. That would be minimal requirement for this course.

Day 1

  1. Licensing
    • Licenses for Power Apps and Power Automate
    • Power Platform usage for Dynamics 365 users and vice-versa
  2. Differences between Canvas, Model-driven and Portal apps
  3. In depth look at building Canvas Apps
    • Introduction to the Canvas Apps designer
    • Setting up an app
    • Adding controls to your app
    • Adding Data Sources to your app
    • Version management
    • Changing Control properties
    • Forms and Cards
    • Galleries and tables
    • Introduction into PowerApps Formulas
    • Best Practices for designing Canvas apps
  4. In depth look at Power Automate
    • Different types of Flows
    • Creating Flows
    • Connectors available for Dynamics 365
    • Flowing data between steps
    • Using Flow Expressions
    • Data conversion, handling arrays, objects and optional/null values
    • Conditions, transforming arrays, filtering
    • Variables
    • Action settings
    • Loops and parallel execution
    • Best Practices for Flow Authoring
    • Using and creating custom connectors


Day 2

  1. Analyze your business data and gain insights with Power BI and Artificial Intelligence models
    • PowerApps AI Builder
    • Power BI and licensing
    • Power BI in relation to the Power Platform
    • Power BI in relation to Dynamics 365
    • Introduction to Power BI desktop
    • Connecting Power BI to the Dataverse
    • Creating visualizations in Power BI desktop
    • Using Power Query to load and transform data
    • Introduction to the Common Data Service for Analytics
    • Using Data Flows to load data into the Common Data Service for Analytics
    • Applying AI Insights (Auto ML) in Data Flows
    • Using the Key Influences AI visualization
  2. Power Apps Portals
    • Introduction to PowerApps Portals
    • Environments and provisioning
    • Portal components
    • Portal security model
    • Portal editor and Portal management
    • Templates and liquid
  3. Azure DevOps
    • Introduction to Azure DevOps
    • Using Azure DevOps with the the Power Platform


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