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- Describe the agentic DevOps model for Microsoft DevOps Engineers, identify high-value opportunities in daily DevOps work, and define safe operating boundaries for agentic actions on Azure.
After completing this module, you'll be able to:
- Define agentic DevOps in a Microsoft and Azure context.
- Identify high-value DevOps tasks that benefit from agentic support.
- Distinguish assistant, semi-autonomous, and autonomous operating modes.
- Explain human oversight requirements for production-facing operations.
- Manage Azure Boards by using GitHub Copilot integration
By the end of this module, you're able to:
- Describe the Azure Boards and GitHub Copilot integration model
- Configure the connection between Azure Boards and GitHub repositories
- Prepare work items so GitHub Copilot can act on clear requirements
- Delegate and supervise work through pull requests with human review
- Apply governance, security, and adoption practices for AI-assisted planning
- Use Azure DevOps MCP Server with GitHub Copilot to manage projects, work items, pull requests, and pipelines through natural language workflows.
By the end of this module, you're able to:
- Explain the Azure DevOps MCP Server interaction model.
- Configure Azure DevOps MCP Server in Visual Studio Code.
- Use MCP tools to query and update work items.
- Perform pull request and pipeline operations through GitHub Copilot.
- Apply governance and safety controls for AI-assisted DevOps workflows.
- 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.
By the end of this module, you're able to:
- Explain core SRE (Site Reliability Engineering) principles and their relevance in Azure cloud operations.
- Describe how Azure SRE Agent supports incident triage, diagnosis, and remediation workflows.
- Understand architecture, setup requirements, and practical adoption patterns.
- Evaluate common use cases and apply governance controls for safe execution.
- Learn how to use GitHub Copilot plan mode to create structured implementation plans for cloud infrastructure changes and system administration tasks.
By the end of this module, you're able to:
- Describe what GitHub Copilot plan mode is and how it fits into an agentic DevOps workflow.
- Create structured implementation plans for cloud infrastructure changes.
- Use plan mode to break down complex system administration tasks into actionable steps.
- Apply best practices for iterating on and refining Copilot-generated plans.
- Learn how to evolve traditional cloud administration and DevOps tasks into agentic AI workflows using agent instructions, skills, and multi-agent orchestration.
After completing this module, you'll be able to:
- Describe the evolution from manual operations through scripted automation and AI-assisted prompts to agentic workflows
- Explain how multi-agent orchestration and the conductor pattern automate infrastructure operations
- Identify the four building blocks of agentic workflows — agents, skills, instructions, and prompts
- Design multi-agent pipelines for common ops tasks using artifact-based communication
