This 3-day deep-dive course is for anyone who wants to learn about Microsoft Dataverse and building model-driven apps. It provides more targeted training than the public courses from Microsoft.
Dataverse evolved from the database platform for Dynamics CRM (back in 2003) and has always been associated with model-driven apps. All versions of Dynamics CRM 1.0 on-premises through to the current offerings of Dynamics 365 Sales and Service have been delivered as model-driven apps.
This course differs from Microsoft’s PL-200 course in that it is not aimed at those in a particular job role. This is a deep-dive course covering Dataverse and model-driven apps in detail whereas PL-200 provides more of an overview. This course does not cover Power Automate or canvas apps.
The course includes presentations, demos and exercises for students to perform.
This page is for the three day in-person instructor-led course.
The course is also available as an online recorded course where you study at your own pace.
After completing this course you will have a thorough understanding of Dataverse and how to build and modify model-driven apps.
After the course, you will have access to:
The course is delivered by Feridun Kadir a long-standing Microsoft Certified Trainer who has delivered courses in Dynamics CRM, Dynamics 365 engagement apps and the Power Platform since 2004.
Duration | Price (ex. VAT) |
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3 days | £1500.00 |
Dates | Location |
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18 to 20-Nov-24 | In-person - Central London |
To book and pay online please click the button below. For other ways to pay or to reserve a place, please contact us.
A proficiency in basic computer skills using Microsoft Office 365 products is required. Database skills are useful but not required.
This course is suitable for:
You will be provided access to an instance of Dataverse for the duration of the class but you must bring your own laptop to perform the exercises.
This module provides a high-level overview of the Power Platform.
This module provides an overview of general relational database concepts.
This module covers the types of tables implemented in Dataverse.
This module covers the types of columns used in Dataverse tables.
This module covers relationships between tables in Dataverse.
This module describes the security model in Dataverse
This module describes how to import and export data to and from Dataverse.
This module covers building model-driven apps.
This module covers logic and validation methods used in Dataverse and model-driven apps.
This module covers automation capabilities in Dataverse.
This module covers the visualization options in model-driven apps.
This module covers settings that change the operation of Dataverse.
This module provides a high level overview of using solutions for customization and app development.