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Duration 14 hours
Course Outline
Fundamentals of LLMs and Agent Frameworks
- The role of large language models in infrastructure automation
- Core principles of multi-agent workflows
- Applications of AutoGen, CrewAI, and LangChain in DevOps contexts
Configuring LLM Agents for DevOps Objectives
- Installation of AutoGen and configuration of specific agent profiles
- Utilizing the OpenAI API and alternative LLM providers
- Establishing workspaces and CI/CD-ready environments
Streamlining Test and Code Quality Processes
- Using LLMs to automate the generation of unit and integration tests
- Employing agents to enforce linting standards, commit rules, and code review protocols
- Automating the summarization and tagging of pull requests
LLM Agents for Alert Management and Change Monitoring
- Creating responder agents for pipeline failure notifications
- Analyzing system logs and traces via language models
- Proactive identification of high-risk changes or configuration errors
Coordinating Multiple Agents in DevOps
- Role-based orchestration (planner, executor, reviewer)
- Managing agent communication loops and memory structures
- Implementing human-in-the-loop strategies for critical systems
Security, Governance, and Monitoring
- Mitigating data exposure and ensuring LLM safety within infrastructure
- Auditing agent actions and enforcing scope limitations
- Monitoring pipeline behavior and collecting model feedback
Practical Applications and Custom Scenarios
- Architecting agent workflows for incident response
- Integrating agents with GitHub Actions, Slack, or Jira
- Best practices for scaling LLM integration within DevOps
Conclusion and Future Directions
Requirements
- Practical experience with DevOps toolchains and pipeline automation
- Proficiency in Python and Git-based development workflows
- Familiarity with LLMs or prior exposure to prompt engineering techniques
Target Audience
- Innovation engineers and platform leads integrating AI solutions
- LLM developers specialized in DevOps or automation domains
- DevOps professionals investigating intelligent agent frameworks
