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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 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
- Integration with OpenAI API and other LLM service providers
- Establishing workspaces and CI/CD-ready environments
Streamlining Test and Code Quality Processes
- Prompting strategies for generating unit and integration tests
- Enforcing linting standards, commit rules, and code review guidelines via agents
- Automating pull request summaries and tagging
LLM Agents for Alert Management and Change Monitoring
- Creating responder agents for pipeline failure notifications
- Utilizing language models to analyze logs and traces
- Proactively identifying high-risk changes or configuration errors
Orchestrating Multi-Agent Systems in DevOps
- Role-based agent coordination (planner, executor, reviewer)
- Managing agent messaging loops and memory structures
- Incorporating human-in-the-loop protocols for critical systems
Security, Governance, and Observability
- Addressing data exposure risks and ensuring LLM safety in infrastructure
- Auditing agent actions and limiting operational scope
- Monitoring pipeline behavior and collecting model feedback
Practical Use Cases and Custom Implementations
- Developing agent workflows for incident response
- Connecting agents with GitHub Actions, Slack, or Jira
- Best practices for scaling LLM integration within DevOps environments
Conclusion and Future Pathways
Requirements
- Hands-on experience with DevOps tools and pipeline automation
- Proficiency in Python and Git-based workflows
- Familiarity with LLMs or practical exposure to prompt engineering
Target Audience
- Innovation engineers and leads managing AI-integrated platforms
- LLM developers focused on DevOps or automation domains
- DevOps professionals looking to explore intelligent agent frameworks
