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Duration 14 hours
Course Outline
Foundations of LLMs and Agent Frameworks
- The role of large language models in infrastructure automation
- Core concepts behind multi-agent workflows
- Practical applications of AutoGen, CrewAI, and LangChain in DevOps
Configuring LLM Agents for DevOps Operations
- Installation of AutoGen and setup of agent profiles
- Utilizing the OpenAI API and alternative LLM providers
- Creating workspaces and environments compatible with CI/CD pipelines
Streamlining Test and Code Quality Processes
- Prompting LLMs to produce unit and integration tests
- Using agents to enforce linting, commit standards, and code review protocols
- Automating the summarization and tagging of pull requests
LLM Agents for Alert Management and Change Monitoring
- Creating responder agents to address pipeline failure alerts
- Applying language models for log and trace analysis
- Proactively identifying high-risk changes or misconfigurations
Orchestrating Multi-Agent Systems in DevOps
- Role-based agent orchestration (planner, executor, reviewer)
- Implementing agent messaging loops and memory management
- Designing human-in-the-loop mechanisms for critical systems
Security, Governance, and Observability
- Managing data exposure and ensuring LLM safety within infrastructure
- Auditing agent actions and defining scope restrictions
- Monitoring pipeline behavior and collecting model feedback
Practical Applications and Custom Scenarios
- Designing agent workflows for incident response
- Integrating agents with GitHub Actions, Slack, or Jira
- Best practices for scaling LLM integration within DevOps environments
Summary and Future Directions
Requirements
- Hands-on experience with DevOps tooling and pipeline automation
- Proficiency in Python and Git-based development workflows
- Familiarity with LLMs or experience with prompt engineering
Target Audience
- Innovation engineers and leads for AI-integrated platforms
- LLM developers focused on DevOps or automation domains
- DevOps professionals exploring intelligent agent frameworks
