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Learn how to optimize application performance by simulating real-world loads with Azure Load Testing service. Learn how to automate load testing with GitHub Actions to ensure consistent application performance and scalability.

Units in this learning path:

• Introduction
• Load Test
• Create Tests
• Configure File
• Fail Criteria
• Variables Load Testing
• Exercise Github Load Test
• Knowledge Check
• Summary

Products: Azure App Service, Github, Azure App Testing

Roles: Developer

Level: Intermediate

Subjects: Automation

Duration: 73 minutes

Explore Azure Monitoring for SAP workloads configuration on Azure Virtual Machines.

Units in this learning path:

• Introduction
• Azure Options for Monitoring
• Monitoring Sap Azure Case Study
• Azure Monitor Solutions Concepts
• Using Log Analytics
• Knowledge Check
• Summary

Products: Azure

Roles: Administrator

Level: Intermediate

Subjects: Data Management, Virtual Machine

Duration: 23 minutes

Learn how to use Microsoft Entra ID, Azure RBAC, DefaultAzureCredential, and managed identities to authenticate Java apps to Azure OpenAI in Microsoft Foundry without API keys.

Units in this learning path:

• Introduction
• Azure Openai Rbac Roles
• Using Managed Identities with Azure Openai
• Keyless Authentication to Azure Openai for Java
• Knowledge Check
• Summary

Products: Azure

Roles: Developer

Level: Beginner

Duration: 22 minutes

Learn to implement Bicep for infrastructure as code, including installation, template creation, deployment with Azure Pipelines and GitHub workflows, and integration with Azure Resource Manager.

Units in this learning path:

• Introduction
• What Bicep
• Install Bicep
• Exercise Create Bicep Templates
• Understand Bicep File Structure Syntax
• Exercise Deploy Bicep File Azure Pipelines
• Exercise Deploy Bicep File Github Workflows
• Azure Deployment Use Resource Manager Templates
• 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: 92 minutes

Implement CI/CD for SQL Database Projects with source control, branching, schema drift detection, automated pipelines, and testing strategies using GitHub Actions and Azure DevOps.

Units in this learning path:

• Introduction
• Create Build Validate SQL Database Projects
• Configure Source Control Manage Reference Data
• Manage Branching Pull Requests Conflict Resolution
• Detect Resolve Schema Drift
• Implement Cicd Pipelines
• Design Implement Testing Strategy
• Exercise Implement Cicd SQL Database Projects
• Knowledge Check
• Summary

Products: Azure, Azure SQL Database, SQL Server

Roles: Database Administrator, Developer, Data Engineer

Level: Intermediate

Subjects: Databases, Devops

Duration: 116 minutes

This module implements CICD pipeline for edge devices.

Units in this learning path:

• Introduction
• Design Cicd Pipeline Iot Edge
• How Create Ci Pipeline Iot Edge
• Exercise Create Ci Pipeline Iot Edge
• How Create Release Pipeline Iot Edge
• Exercise Create Release Pipeline Iot Edge
• Knowledge Check
• Summary

Products: Azure Iot Edge

Roles: AI Edge Engineer

Level: Intermediate

Subjects: Iot, Devops

Duration: 54 minutes

Implement enterprise CI/CD pipelines for multi-agent systems using GitHub Actions and Microsoft Foundry. Design coordinated deployment pipelines with agent version compatibility validation, implement canary and blue-green deployment strategies, configure multi-environment strategies, and automate rollback triggered by quality regression metrics.

Units in this learning path:

• Introduction
• Design Multi Agent Deployment Pipelines
• Implement Progressive Deployment Strategies
• Configure Multi Environment Agent Strategies
• Automate Rollback Procedures
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry, Github

Roles: AI Engineer, Devops Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence, Devops

Duration: 41 minutes

Implement DNS for Windows Server IaaS VMs

Units in this learning path:

• Introduction
• Understand Azure Dns
• Implement Azure Dns
• Create an Azure Dns Zone Record Using Azure Portal
• Implement Dns Azure Iaas Virtual Machines
• Implement Split Horizon Dns Azure
• Troubleshoot Dns
• Knowledge Check
• Summary

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

Roles: Administrator, Solution Architect, Technology Manager

Level: Intermediate

Subjects: Networking, Cloud Computing

Duration: 50 minutes

Learn to implement Desired State Configuration (DSC) with Azure Automation, including configuration drift management, DSC configurations, Linux automation, and hybrid management strategies.

Units in this learning path:

• Introduction
• Understand Configuration Drift
• Explore Desired State Configuration Dsc
• Explore Azure Automation
• Examine Dsc Configuration File
• Implement Dsc Linux Automation Azure
• 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: 28 minutes

This module focuses on enabling developers to independently manage their resources and workflows, fostering agility and innovation. Learners will understand the importance of combining flexibility with robust governance to ensure security, compliance, and operational consistency. The module also covers best practices for implementing and managing self-service capabilities within an organization.

Units in this learning path:

• Introduction
• Introduction Developer Self Service
• Developer Self Service Platform Architecture
• Governance Security Self Service Workflows
• Developer Coding Environments
• Automation Self Service Tools
• Monitor Audit Developer Activities
• Implement Microsoft Dev Box
• Knowledge Check
• Summary

Products: Azure, Azure Devops, Github

Roles: Administrator, AI Engineer, Developer, Devops Engineer, Network Engineer, Security Engineer, Solution Architect, Startup Founder

Level: Advanced

Subjects: App Development, Architecture, Asset Management, Automation, Cloud Computing, Cloud Security, Containers, Custom App Development, Devops, Infrastructure, It Management Monitoring, Product Lifecycle Management, Productivity, Site Reliability Engineering

Duration: 121 minutes

As you implement Dynamics 365 solutions, you have many considerations. These include designing for users, sharing solutions and progress with stakeholders, testing and documenting the solutions, and participating in application lifecycle management that your team has put in place.

Modules in this learning path:

• Design Dynamics 365 Deployment
• Present Business Applications Designs
• Document Dynamics 365 Solution Customer
• Test Dynamics 365 Implementation
• Application Lifecycle Management Dynamics 365

Products: Dynamics 365, Dynamics Finance, Dynamics Sales, Customer Insights Journeys, Dynamics Scm, Dynamics Business Central, Dynamics Field Service, Dynamics Customer Service, Dynamics Project Operations, Dynamics Human Resources, Dynamics Iom, Power Apps, Power Automate, Dataverse

Roles: Business Analyst, Functional Consultant, Student, Business User, Maker

Level: Beginner

Subjects: Business Applications

Duration: 388 minutes

Generative Artificial Intelligence (AI) engineering with Azure Databricks uses the platform's capabilities to explore, fine-tune, evaluate, and integrate advanced language models. By using Apache Spark's scalability and Azure Databricks' collaborative environment, you can design complex AI systems.

Modules in this learning path:

• Introduction Language Models Databricks
• Retrieval Augmented Generation Azure Databricks
• Multistage Reasoning Azure Databricks
• Fine Tune Azure Databricks
• Evaluate Language Models Azure Databricks
• Responsible Language Models Azure Databricks
• Implement Llmops Azure Databricks

Products: Azure Databricks

Roles: Data Scientist, AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning

Duration: 417 minutes