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Master the complete lifecycle of building, deploying, and maintaining production-ready data pipelines in Azure Databricks—from design and orchestration to monitoring and optimization.

Modules in this learning path:

• Design Implement Data Pipelines
• Implement Lakeflow Jobs
• Implement Development Lifecycle Processes Azure Databricks
• Monitor Troubleshoot Optimize Workloads Azure Databricks

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 191 minutes

Learn to deploy and manage Azure IaaS Active Directory domain controllers in Azure.

Units in this learning path:

• Introduction
• Select Option Implement Directory Identity Services
• Deploy Configure Active Directory Domain Services Domain Controllers
• Install Replica Active Directory Domain Controller Azure Virtual Machine
• Install Active Directory Forest Azure Virtual Network
• Knowledge Check
• Summary

Products: Azure, Entra Id, Azure Cloud Shell, Azure Portal, Azure Virtual Machines

Roles: Administrator, Solution Architect, Technology Manager

Level: Intermediate

Subjects: Data Engineering

Duration: 39 minutes

Learn how to deploy workloads with Lakeflow Jobs

Units in this learning path:

• Introduction
• What Are Azure Databricks Workflows
• Key Components of Azure Databricks Workflows
• Benefits of Azure Databricks Workflows
• Deploy Workloads Using Azure Databricks Workflows
• Exercise Workflows
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Analyst

Level: Intermediate

Subjects: Data Management

Duration: 57 minutes

This content is a part of Describe concepts of relational data.

Units in this learning path:

• Introduction
• Explore Characteristics
• Explore Structures
• Choose Right Platform for Relational Workload
• Knowledge Check
• Summary

Products: Azure

Roles: Administrator, Business User, Data Engineer

Level: Beginner

Subjects: Databases

Duration: 19 minutes

Describe performance monitoring

Units in this learning path:

• Introduction
• Tools
• Describe Critical Performance Metrics
• Establish Baseline Metrics
• Describe Extended Events
• Describe Database Watcher
• Explore Query Performance Insight
• Exercise
• Knowledge Check
• Summary

Products: Azure, Azure SQL Database, SQL Server

Roles: Data Analyst, Data Engineer, Database Administrator

Level: Intermediate

Subjects: Data Management

Duration: 83 minutes

Design effective Power BI reports that are visually appealing and easy to understand with consistent report structure, interactive objects, and filtering.

Units in this learning path:

• 1 Introduction
• Design Layout
• Design Reports
• 2 Report Objects
• 3 Report Visuals
• 6 Report Filters
• 7 Filter Techniques
• 8 Report Filters Case Study
• Lab
• 6 Check
• 7 Summary

Products: Power Platform, Power Bi

Roles: Business User, Business Analyst, Data Analyst

Level: Intermediate

Subjects: Data Visualization

Duration: 115 minutes

Design a Modern Data Warehouse using Azure Synapse Analytics

Units in this learning path:

• Introduction
• Describe
• Define Architecture
• Exercise Identifying Architecture Components
• Design Ingestion Patterns for Warhouse
• Understand Data Storage for
• Understand File Formats Structure Modern Data Warehouse
• Prepare Transform Data with
• Serve Data for Analysis with
• Knowledge Check
• Summary

Products: Azure Synapse Analytics

Roles: Data Engineer

Level: Beginner

Subjects: Data Storage

Duration: 62 minutes

Design a SQL Server migration strategy

Units in this learning path:

• Introduction
• Examine Data Platform Modernization
• Plan Data Migration
• Explore Data Migration Resources
• 5 Exercise Compare Onpremises Azure Costs
• Knowledge Check
• 6 Summary

Products: Azure, Azure SQL Database, Azure SQL Managed Instance, Azure Sqlserver Vm, Azure SQL Virtual Machines, Azure Synapse Analytics

Roles: Administrator, Data Engineer, Database Administrator

Level: Beginner

Subjects: Data Engineering

Duration: 32 minutes

Design a data partitioning strategy

Units in this learning path:

• Introduction
• Denormalize Data Your Model
• Manage Referential Integrity by Using Change Feed
• Combine Multiple Entities Same Container
• Denormalize Aggregates Same Container
• Finalize Data Model
• Exercise Advanced Modeling Patterns
• Knowledge Check
• Summary

Products: Azure, Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Data Engineering

Duration: 51 minutes

Design an Azure Cosmos DB for MongoDB database

Units in this learning path:

• Introduction
• Models Shard Keys
• Mongodb API Indexes
• Aggregation Pipeline Queries
• Exercise Indexes and Aggregation Pipelines
• Knowledge Check
• Summary

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Databases

Duration: 50 minutes

Learn to design and implement database objects, programmability objects, advanced T-SQL code, and AI-assisted tools for SQL Server, Azure SQL, and Microsoft Fabric.

Modules in this learning path:

• Design Implement Database Objects
• Implement Programmability Objects
• Write Advanced SQL Code
• Design Implement SQL Solutions AI Assisted Tools

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

Roles: Developer, Data Engineer, Database Administrator, Solution Architect

Level: Intermediate

Subjects: Databases, Data Management, Data Engineering

Duration: 431 minutes

You learn how to design and implement Azure ExpressRoute, ExpressRoute Global Reach, ExpressRoute FastPath.

Units in this learning path:

• Introduction
• Explore
• Design Expressroute Deployment
• Exercise Configure Expressroute Gateway
• Exercise Provision Expressroute Circuit
• Configure Peering for Expressroute Deployment
• Connect Expressroute Circuit to Vnet
• Connect Geographically Dispersed Networks Expressroute Global Reach
• Improve Data Path Performance Between Networks Expressroute Fastpath
• Troubleshoot Expressroute Connection Issues
• Summary Resources

Products: Azure Expressroute, Azure Virtual Network

Roles: Administrator, Network Engineer

Level: Intermediate

Subjects: Data Engineering, Networking

Duration: 57 minutes