Explore digital courses

This content is a part of Explore data roles and services.

Units in this learning path:

• Introduction
• Explore Job Roles
• Identify Data Services
• Knowledge Check
• Summary

Products: Azure, Fabric, Power Bi, Azure Databricks, Microsoft Foundry, Azure Data Factory, Azure Storage, Azure Cosmos Db, Azure SQL Database

Roles: Data Analyst, Data Engineer, Database Administrator, Student

Level: Beginner

Subjects: Data Analytics

Duration: 22 minutes

Identifying design and deployment processes that conform to organizational policies will help you in developing for finance and operations apps, and ensure that code is deployed to the correct environments to avoid issues in production.

Units in this learning path:

• 1 Introduction
• 2 Business
• 3 Specs
• 4 Gaps
• 5 Design
• 6 Deploy
• 8 Frameworks
• 9 Check
• 10 Summary

Products: Dynamics 365, Dynamics Finance, Dynamics Scm

Roles: Developer

Level: Intermediate

Subjects: Process Workflow

Duration: 66 minutes

Learn how you can interact with the Azure Machine Learning workspace. You can use the Azure Machine Learning studio, the Python SDK (v2), or the Azure CLI (v2).

Units in this learning path:

• Introduction
• Explore Studio
• Explore Python Sdk
• Explore Cli
• Exercise
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 57 minutes

This module explains the benefits of using encryption to protect drives and files against unauthorized access.

Units in this learning path:

• Introduction
• Examine Bitlocker
• Evaluate Bitlocker Tpms
• Recover Bitlocker Encrypted Drive
• Assess Encrypting Files System
• Knowledge Check
• Summary

Products: Windows

Roles: Administrator

Level: Beginner

Subjects: Device Management

Duration: 19 minutes

Finance and operations apps are customized by using extensions, which let you add functionality to model elements and source code in the Application Object Tree (AOT) by using Visual Studio.

Units in this learning path:

• 1 Introduction
• 2 Models
• Assess Extensibility
• 3 Extension Points
• 4 Develop Code
• Pre Event Post Event Handlers
• Sysoperationsandbox Framework
• Workflow Framework
• 5 Exercise
• 6 Check
• 7 Summary

Products: Dynamics 365, Dynamics Finance, Dynamics Scm

Roles: Developer, Solution Architect

Level: Intermediate

Subjects: Custom App Development

Duration: 99 minutes

Explore the distinctions between finance and operations apps and Dataverse, including key concepts like company concept and security model.

Units in this learning path:

• Introduction
• Company Concept
• Security Model
• Technology Approach
• Check
• Summary

Products: Dynamics 365, Dynamics Finance

Roles: Solution Architect, Administrator, Developer

Level: Intermediate

Subjects: Cross Development, Architecture

Duration: 36 minutes

This module explores the forecasting and analytics capabilities of Dynamics 365 Sales, including pipeline management, Relationship Intelligence, AI agents, and Copilot-driven insights.

Units in this learning path:

• Introduction
• Describe Forecasting
• Describe Pipeline Management
• Describe Relationship Intelligence Analytics
• Describe Monitor Agents
• Describe Copilot Forecasting Reporting
• Describe Sales Qualification Agent
• Describe Sales Close Agent
• Exercise Supervisor Workflow
• Knowledge Check
• Summary

Products: Dynamics 365, Dynamics Sales

Roles: Business Owner, Business User, Functional Consultant, Student

Level: Beginner

Subjects: Marketing Sales

Duration: 50 minutes

This content is a part of Explore fundamental relational data concepts.

Units in this learning path:

• Introduction
• Relational Data
• Understand Normalization
• Explore SQL
• Describe Database Objects
• Knowledge Check
• Summary

Products: Azure, Azure SQL Database

Roles: Data Analyst, Data Engineer, Database Administrator, Developer, Student

Level: Beginner

Subjects: Data Analytics

Duration: 37 minutes

Explore the features and capabilities of Azure Cosmos DB, Identify supported APIs, and interact with a Cosmos DB database.

Units in this learning path:

• Introduction
• Azure Cosmos Db
• Azure Cosmos Db Apis
• Exercise Azure Cosmos Db
• Knowledge Check
• Summary

Products: Azure, Azure Cosmos Db

Roles: Data Analyst, Data Engineer, Database Administrator, Developer, Student

Level: Beginner

Subjects: Databases

Duration: 39 minutes

Learn the fundamental principles of analytical data modeling and data visualization, using Microsoft Power BI as a platform to explore these principles in action.

Units in this learning path:

• Introduction
• Describe Power Bi Tools Workflow
• Describe Core Concepts Modeling
• Describe Considerations for
• Exercise Visualize Data Power Bi
• Knowledge Check
• Summary

Products: Azure, Power Bi, Fabric

Roles: Administrator, Business User, Data Engineer, Database Administrator

Level: Beginner

Subjects: Data Visualization

Duration: 39 minutes

Organizations use analytics platforms to build large scale data analytics solutions that generate insights and drive success. Microsoft provides multiple technologies that you can combine to build a large scale data analytics solution.

Units in this learning path:

• Introduction
• Describe Warehousing
• Explore Ingestion Pipelines
• Analytical Stores
• Exercise Data Analytics Fabric
• Exercise Explore Azure Data Services Azure Portal
• Summary

Products: Azure, Azure Data Factory, Azure Databricks, Fabric, Power Bi, Azure Storage, Azure Event Hubs

Roles: Data Engineer, Solution Architect, Student

Level: Beginner

Subjects: Data Storage

Duration: 51 minutes

Learn about the basics of stream processing, and the services in Microsoft Azure that you can use to implement real-time analytics solutions.

Units in this learning path:

• Introduction
• Understand Batch
• Explore Common Elements Architecture
• Explore Fabric Rti
• Explore Apache Spark Microsoft Azure
• Exercise Real Time Intelligence
• Knowledge Check
• Summary

Products: Azure, Fabric, Azure Databricks, Azure Event Hubs

Roles: Administrator, Business User, Data Engineer

Level: Beginner

Subjects: Data Analytics

Duration: 38 minutes