Explore digital courses

Learn to plan, design, and build multi-agent solutions in Microsoft Copilot Studio. You'll learn how to evaluate when multi-agent approaches are appropriate, architect solutions using child agents and connected agents, and implement both patterns to create organized, scalable agent systems.

Modules in this learning path:

• Design Multi Agent Solutions Copilot Studio
• Delegate Agent Tasks Child Agents Copilot Studio
• Build Multi Agent Solutions Connected Agents Copilot Studio
• Build Cross Platform Multi Agent Solutions Agent2agent Copilot Studio

Products: Microsoft Copilot Studio

Roles: Maker

Level: Intermediate

Subjects: Artificial Intelligence, Chatbots

Duration: 174 minutes

Learn to use Microsoft Learning Zone to create and manage interactive lessons and improve student engagement using embedded activities and immediate feedback.

Units in this learning path:

• Introduction
• What Is Microsoft Learning Zone
• Download Access Learning Zone
• Create Refine Lesson
• Assign Lessons Learners
• Learning Zone Student Experience
• View Insights Teachers
• Create Kahoot Learning Zone
• Learning Zone Ready Learn Gallery
• Knowledge Check
• Summary

Products: M365 Education, Ms Copilot, Windows 11

Roles: K 12 Educator, School Leader

Level: Beginner

Duration: 55 minutes

Transform your contact center's first impression. Learn to build intelligent voice agents in Dynamics 365 Contact Center that resolve issues before a human ever picks up, using AI orchestration, context-aware handoffs, multilingual support, and compliant call recording.

Units in this learning path:

• Introduction
• Orchestration Modes
• Customize Voice Agents
• Multilingual Voice Agents
• Security Compliance
• Knowledge Check
• Summary

Products: Dynamics 365

Roles: Functional Consultant, Administrator

Level: Intermediate

Subjects: Customer Relationship Management

Duration: 41 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

Learn how to design and implement effective pipeline strategies using Azure Pipelines, including multi-agent builds, source control integration, and comprehensive testing approaches.

Units in this learning path:

• Introduction
• Configure Agent Demands
• Explore Multi Configuration Multi Agent
• Integrate Github Repos Azure Pipelines
• Design Implement Comprehensive Test Strategy
• Implement Code Coverage Show Pipeline
• Implement Multi Job Builds
• Explore Source Control Types Supported by Azure Pipelines
• Knowledge Check
• Summary

Products: Azure, Azure Artifacts, Azure Boards, Azure Cloud Services, Azure Devops, Azure Pipelines, Azure Repos, Azure Test Plans, Github

Roles: Administrator, AI Engineer, Data Engineer, Developer, Devops Engineer, Platform Engineer, Security Engineer, Security Operations Analyst, Service Adoption Specialist, Solution Architect, Startup Founder, Technology Manager

Level: Advanced

Subjects: Devops

Duration: 34 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

This module explores Git branching types, concepts, and models for the continuous delivery process. It helps companies defining their branching strategy and organization.

Units in this learning path:

• Introduction
• Explore Branch Workflow Types
• Explore Feature Branch Workflow
• Explore Git Branch Model for Continuous Delivery
• Explore Github Flow
• Explore Fork Workflow
• Implement Branch Merging Restrictions
• Version Control Git Azure Repos
• Knowledge Check
• Summary

Products: Azure, Azure Artifacts, Azure Boards, Azure Cloud Services, Azure Devops, Azure Pipelines, Azure Repos, Azure Test Plans, Github

Roles: Administrator, Developer, Devops Engineer, Security Engineer, Security Operations Analyst, Service Adoption Specialist, Solution Architect, Technology Manager

Level: Advanced

Subjects: Process Workflow

Duration: 92 minutes

Learn how to design and implement data modeling strategies in Azure Databricks with Unity Catalog, including ingestion patterns, table formats, partitioning, slowly changing dimensions, and clustering strategies.

Units in this learning path:

• Introduction
• Design Data Ingestion Logic
• Choose Data Ingestion Tool
• Choose Data Table Format
• Design Data Partitioning Scheme
• Choose Scd Type
• Implement Slowly Changing Dimension Type 2
• Design Temporal History Table
• Choose Granularity
• Choose Managed Vs Unmanaged Tables
• Design Clustering Strategy
• Exercise
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 137 minutes

Learn how to design and implement robust data pipelines using Lakehouse architecture principles, medallion architecture, and Lakeflow Spark Declarative Pipelines in Azure Databricks.

Units in this learning path:

• Introduction
• Design Order Operations Pipeline
• Choose Notebook Vs Lakeflow Pipelines
• Design Task Logic Lakeflow Job
• Design Error Handling Pipelines
• Create Pipeline Notebook Precedence
• Create Pipeline Lakeflow Declarative
• Exercise
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 96 minutes

Learn how to design and implement database objects in SQL Server, Azure SQL, and SQL databases in Microsoft Fabric, including tables, indexes, constraints, and specialized table types.

Units in this learning path:

• Introduction
• Understanding Platform Choices
• Design Implement Tables
• Design Implement Indexes
• Specialized Table Types
• Design Implement Constraints
• Design Implement Json
• Design Implement Partitioning
• Exercise Create Database Objects
• Knowledge Check
• Summary

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

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

Level: Intermediate, Advanced

Subjects: Databases, Data Management, Data Engineering, Cloud Computing, App Development

Duration: 98 minutes