Explore digital courses

Learn how to extend your on-premises Active Directory environment into Azure, including deploying replica domain controllers on Azure VMs, creating new AD DS forests in Azure, and configuring VPN or ExpressRoute connectivity, AD DS sites, trust relationships, and FSMO role placement.

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

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 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

Learn how to implement Retrieval Augmented Generation (RAG) patterns using Azure SQL Database. Identify RAG use cases, prepare database context for Large Language Model (LLM) processing, construct augmented prompts, and process model responses.

Units in this learning path:

• Introduction
• Identify Rag Use Cases Architecture
• Prepare Retrieval Context Augmentation
• Augment Prompts Database Context
• Generate Process Rag Responses
• Exercise Implement Rag Solution
• Knowledge Check
• Summary

Products: Azure SQL Database, SQL Server

Roles: Database Administrator, Developer, Data Engineer

Level: Intermediate

Subjects: Databases, Artificial Intelligence

Duration: 75 minutes

Design and implement a replication strategy for Azure Cosmos DB for NoSQL

Modules in this learning path:

• Configure Replication Manage Failovers Azure Cosmos Db
• Use Consistency Models Azure Cosmos Db SQL API
• Configure Multi Region Write Azure Cosmos Db SQL API

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Data Management

Duration: 116 minutes

Design durable agent memory on Azure Cosmos DB for NoSQL: separate conversation state from long-term memory, distill turns into facts searchable by meaning, budget a context window, and set retention, reconciliation, and erasure policies.

Units in this learning path:

• Introduction
• Understand Agent Memory Architectures
• Implement Conversation State
• Implement Semantic Memory
• Optimize Memory Retrieval Context Injection
• Design Memory Retention Pruning
• Exercise Build Memory Store
• Knowledge Check
• Summary

Products: Azure Cosmos Db, Azure Openai

Roles: Developer, AI Engineer

Level: Intermediate

Subjects: Databases, Artificial Intelligence

Duration: 107 minutes