Optimize DevOps with AI agents on Azure
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This learning path shows how to integrate AI-powered agents into your Azure DevOps workflows. You'll learn to manage Azure Boards with GitHub Copilot, operate Azure DevOps through the MCP Server using natural language, and improve Azure reliability with the SRE Agent.
Prerequisites
- Foundational knowledge of generative AI and agentic AI.
- Basic knowledge of Azure DevOps concepts including boards, repos, and pipelines.
- Experience using Visual Studio Code.
- Familiarity with GitHub Copilot fundamentals.
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Modules in this learning path
Describe where agentic approaches improve DevOps outcomes in Azure environments. Evaluate role-aligned use cases, autonomy boundaries, and human-in-the-loop patterns across Microsoft DevOps toolchains.
This module explains how to connect Azure Boards and GitHub, prepare high-quality work items, and use GitHub Copilot capabilities to accelerate delivery while preserving governance and traceability in Azure DevOps.
This module explains how to set up Azure DevOps MCP Server in Visual Studio Code, authenticate and authorize tool access, and perform common Azure DevOps operations with natural language prompts while preserving governance and quality.
This module introduces SRE (Site Reliability Engineering) fundamentals in Azure, explains Azure SRE Agent architecture and deployment, and shows how to apply governed agentic operations to reduce MTTR and improve reliability outcomes.
Learn how to use GitHub Copilot plan mode to plan, organize, and implement cloud operations tasks such as infrastructure configuration, system administration, and operational automation.
Learn how to use GitHub Copilot to accelerate Infrastructure as Code authoring, apply effective prompt engineering techniques for Bicep templates, and generate and translate Azure CLI and PowerShell scripts.
Learn how to evolve traditional cloud administration and DevOps tasks into agentic AI workflows using agent instructions, skills, and multi-agent orchestration.