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Learn how to manage and operate hybrid infrastructure using Azure Local with familiar tools like Windows Admin Center, PowerShell, and Azure Arc.

Units in this learning path:

• Introduction
• What Is Azure Local
• Familiar Tools for It Management
• Security and Compliance
• Apply Azure Local to Real World Industries
• Knowledge Check
• Summary

Products: Azure Local

Roles: Business Owner, Business User, Administrator, Technology Manager

Level: Intermediate

Duration: 22 minutes

Achieve operational excellence and enhance developer experience in your organization through DevOps. Your operational and development practices improve by implementing shift-right testing, observability through performance and security monitoring, Site Reliability Engineering and platform engineering.

Units in this learning path:

• Introduction
• Explore Operational Excellence
• Explore Shift Right Testing
• Explore Observability Through Performance Monitoring
• Explore Observability Through Security Assessment
• Explore Resiliency with Site Reliability Engineering
• Improve Developer Experience with Platform Engineering
• Enhance Workload Resiliency Traffic Manager and Azure Chaos Studio
• Knowledge Check
• Summary

Products: Azure, Azure Cloud Services, Github, Azure Devops

Roles: Administrator, Developer, Devops Engineer, Security Engineer, Security Operations Analyst, Solution Architect, Student, Support Engineer

Level: Beginner

Subjects: Devops, Cloud Computing

Duration: 54 minutes

Explore Azure AI Foundry's tools for generative AI security, privacy, and quality. Shift from reactive risk management to agile, responsible-by-design governance for better observability and efficiency.

Modules in this learning path:

• Moderate Content Detect Harm Azure AI Content Safety Studio
• Moderate Content Detect Harm Azure AI Content Safety
• Measure Mitigate Risks Azure AI Studio

Products: Azure, Foundry Tools, Content Safety

Roles: Developer

Level: Beginner

Duration: 153 minutes

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

Learn the full GenAIOps lifecycle for generative AI applications, from planning and prompt management to evaluation, automated testing, monitoring, and tracing in production.

Modules in this learning path:

• Plan Prepare Genaiops
• Prompt Versioning Genaiops
• Evaluate Optimize Agents
• Automated Evaluation Genaiops
• Monitor Generative AI App
• Tracing Generative AI App

Products: Foundry Tools, Microsoft Foundry, Github

Roles: Data Scientist, AI Engineer, Devops Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning, Natural Language Processing, Devops

Duration: 364 minutes

Learn how to design, train, optimize, automate, deploy, and monitor machine learning models with Azure Machine Learning and GitHub Actions.

Modules in this learning path:

• Design Machine Learning Model Training Solution
• Experiment Azure Machine Learning
• Run Training Scripts Track Models Mlflow
• Perform Hyperparameter Tuning Azure Machine Learning Pipelines
• Run Pipelines Azure Machine Learning
• Trigger Azure Machine Learn Jobs Github Actions
• Deploy Model Github Actions

Products: Azure Machine Learning, Github

Roles: Data Scientist

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning

Duration: 344 minutes

Operationalize your Azure Data Factory pipelines

Units in this learning path:

• Introduction
• Understand Language Support Azure Data Factory
• Manage Source Control of Solutions
• Continuous Integration and Deployment
• Monitor
• Set Up Alerts Azure Data Factory
• Re Run Azure Data Factory Pipelines
• Security
• Knowledge Check
• Summary

Products: Azure Data Factory

Roles: Data Engineer, Data Scientist

Level: Intermediate

Duration: 53 minutes

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

Learn how to optimize deployment and infrastructure costs using Azure Virtual Desktops native scaling tool Autoscale. Learn how to configure Autoscale so that session host VMs are only running when you need them to be.

Units in this learning path:

• Introduction
• Configure Automation
• Create Scale
• Knowledge Check
• Summary and Knowledge Check

Products: M365, Azure, Azure Virtual Desktop

Roles: Administrator

Level: Intermediate

Subjects: Cloud Computing, Finance Accounting, Remote Hybrid Work

Duration: 14 minutes

Use Power BI to understand where your money is being spent in Azure so you can help your organization to optimize its costs.

Units in this learning path:

• Introduction
• Analyze Costs Power Bi
• Hybrid Benefits Power Bi
• Reservations Power Bi
• Data Connector Power Bi
• Knowledge Check
• Summary

Products: Azure, Azure Cost Management

Roles: Administrator, Developer

Level: Beginner

Subjects: Finance Accounting, Data Analytics

Duration: 27 minutes

Learn how to apply SRE (Site Reliability Engineering) principles and use Azure SRE Agent to improve incident response, reduce operational toil, and govern remediation workflows.

Units in this learning path:

• Introduction
• Sre Azure Context
• What Why Sre Agent
• Architecture
• Setup Deployment
• Use Cases
• Governance
• Agent
• Summary

Products: Azure, Azure App Service, Azure Monitor

Roles: Administrator, Devops Engineer, Support Engineer

Level: Intermediate

Subjects: Cloud Computing, Devops

Duration: 93 minutes

Learn the concepts of agentic DevOps. Next, learn how to use GitHub Copilot, Azure DevOps MCP Server, and Azure SRE Agent to accelerate delivery, automate operations, and improve reliability across your DevOps workflows.

Modules in this learning path:

• Introduction Agentic Devops Microsoft Tools Azure
• Manage Azure Boards Using Github Copilot
• Manage Ado Mcp Server
• Optimize Azure Reliability Using Sre Agent
• Use Plan Mode Cloud Ops
• Use Github Copilot Cloud Operations
• Transition Traditional Ops Agent Automation

Products: Azure, Azure Devops, Azure Boards, Github

Roles: Administrator, Developer, Devops Engineer

Level: Intermediate

Subjects: Devops

Duration: 671 minutes