Course outline 2022
Training content for 2022
Table of contents
| Learning Path | Module |
|---|---|
| Work with Microsoft Dataverse | - What is a relational database? - Introduction to Microsoft Dataverse. - Manage environments. - Manage customizations with solutions. - Create and manage tables in Microsoft Dataverse. - Create and manage columns in Microsoft Dataverse. - Create relationships between tables in Dataverse. - Create and define calculated and rollup columns in Dataverse. |
| Manage Microsoft Dataverse | - Define and create business rules in Microsoft Dataverse. - Load/export data in Microsoft Dataverse. - Manage security in Microsoft Dataverse. - Administration options in Microsoft Dataverse. |
| Create model-driven apps in Power Apps | - Introduction to model-driven apps. - Design and create model-driven apps. - Configure forms. - Configure views. - Configure charts. - Configure dashboards. |
| Create canvas apps in Power Apps | - Introduction to canvas apps. - Customize a canvas app. - Build the UI in a canvas app. - Navigation in a canvas app. - Manage apps. - Build a mobile optimized app. - Connect to other data in canvas apps. |
| Make portals in Power Pages | - Introduction to Power Pages. - Core components and features. - Portals architecture. - Explore design studio. |
| Build automation with Power Automate - Integrate Power Automate - Create a business process flow in Power Automate - Create a canvas app in Power Apps | Introduction to automation in Dataverse. - Introduction to Power Automate. - Create Power Automate cloud flows. - Use Dataverse triggers and actions in Power Automate cloud flows. - Introduction to expressions in Power Automate. - Test and troubleshoot Power Automate cloud flows. - Administer Power Automate cloud flows. - Create business process flows. |
| Build chatbots with Power Virtual Agents | - Identify use cases for Power Virtual Agents. - Identify components of Power Virtual Agents. |
| Visualize data with Power BI - Create and use analytics reports with Power BI - Manage workspaces and datasets in Power BI | - Introduction to analyzing data with Power BI. - Consume Power BI in Power Platform. |
| Solutions and integrations | - Application Lifecycle Management. - Interoperability with other services |