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Secure enterprise and browser-based AI apps with Microsoft Purview

Units in this learning path:

• Introduction
• Understand AI Risks
• Assess AI Tool Usage
• Communication Compliance AI
• Insider Risk Management AI
• Data Loss Prevention AI
• Adaptive Protection AI
• Retention AI
• Knowledge Check
• Summary

Products: M365, Microsoft Purview

Roles: Administrator, Risk Practitioner, Security Operations Analyst, Auditor

Level: Intermediate

Subjects: Data Management, Threat Protection, Information Protection Governance, Compliance, Security, Insider Risk

Duration: 53 minutes

Learn to protect data with encryption and access controls, tune query performance, implement CI/CD pipelines for database projects, and integrate SQL solutions with Azure services.

Modules in this learning path:

• Implement Data Security Compliance
• Optimize Database Performance
• Implement Cicd SQL Database Projects
• Integrate SQL Solutions Azure Services

Products: SQL Server, Azure SQL Database, Azure SQL Managed Instance, Fabric

Roles: Developer, Data Engineer, Database Administrator

Level: Intermediate

Subjects: Databases, Data Management, Devops, Security

Duration: 451 minutes

Learn how to select and configure appropriate compute resources in Azure Databricks including serverless, classic compute, SQL warehouses, and job clusters. Master performance tuning, access control, and library management.

Units in this learning path:

• Introduction
• Choose Appropriate Compute Type
• Configure Compute Performance
• Configure Compute Feature Settings
• Install Libraries for Compute
• Configure Compute Access Perms
• Exercise
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 107 minutes

Are you an architect or storage administrator who is interested in migrating your storage implementation to the cloud? Do you want to understand how different data types your organization uses might impact your migration decisions? If so, then…

Build a solid foundation in Azure Databricks by understanding its architecture, integrations, compute options, and data organization capabilities. Learn how Azure Databricks provides a unified platform for data engineering, analytics, and AI workloads in the cloud.

Modules in this learning path:

• Explore Azure Databricks
• Understand Azure Databricks Architecture
• Understand Azure Databricks Integrations
• Select and Configure Compute
• Create and Organize Objects in Unity Catalog

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 409 minutes

When you create a canvas app, do you need to show the user all the data? What if you want to show only the data that is relevant to them? This module will help you address this issue.

Units in this learning path:

• 1 Filter Data
• 2 Search Function
• 3 Combine Data Shaping Functions
• 4 Modify Columns
• 4 5 Exercise
• 5 Knowledge Check
• 6 Summary

Products: Power Platform, Power Apps

Roles: Business User, Maker, Functional Consultant

Level: Intermediate

Subjects: Data Engineering

Duration: 58 minutes

Explore the role of solution architects in data modeling for Power Platform, including data types and relationships.

Units in this learning path:

• 1 Introduction
• 2 Common Data Model
• 3 Data Model
• 4 Data Store
• 5 Dataverse
• 6 Best Practice
• Data Model Exercise
• Architecture Devices
• Report Data Visitors
• Visitors Waivers Photos
• Solution
• 7 Check
• 8 Summary

Products: Power Platform, Dataverse, Dynamics Customer Engagement

Roles: Solution Architect

Level: Intermediate, Advanced

Subjects: Data Modeling, Business Applications

Duration: 72 minutes

Sort and filter results in T-SQL

Units in this learning path:

• Introduction
• Sort Your Data As Its Returned
• Use Top Offset Fetch with Sorted Data
• Page Results
• Remove Duplicates
• Filter Data
• Exercise Sort Filter Query Results
• Knowledge Check
• Summary

Products: SQL Server, Azure SQL Managed Instance, Azure Sqlserver Vm, Azure SQL Virtual Machines

Roles: Data Analyst, Data Engineer, Data Scientist, Database Administrator, Developer, Solution Architect, Student, Technology Manager

Level: Beginner

Subjects: Databases

Duration: 57 minutes

This Learning Path helps you build knowledge on migrating storage implementations to the cloud. This Learning Path presents domain-specific content and includes courses, knowledge checks, and a knowledge badge assessment. This path is a guide and…

This Learning Path helps you build knowledge on key technology features and best practices for backup solutions and practices to maintain disaster readiness during normal business operations. This Learning Path presents domain-specific content and…

Analyze data in PostgreSQL with aggregate functions and grouping. Learn COUNT, SUM, AVG, and filter results using GROUP BY and HAVING.

Units in this learning path:

• Introduction
• Sample Database Overview
• Aggregate Functions
• Group by Having
• Summary

Products: Azure Database Postgresql

Roles: Database Administrator, Developer

Level: Beginner

Subjects: Databases

Duration: 15 minutes

Learn how to train machine learning models using Spark and the MLlib library in Azure Databricks.

Units in this learning path:

• Introduction
• Understand Machine Learning
• Machine Learning Azure Databricks
• Prepare Data for Machine Learning
• Train Model
• Evaluate Model
• Exercise Machine Learning Databricks
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Scientist

Level: Intermediate

Subjects: Data Management, Machine Learning

Duration: 84 minutes