Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to LLMs and Agent Frameworks
- An overview of Large Language Models in infrastructure automation.
- Core concepts within multi-agent workflows.
- Exploring AutoGen, CrewAI, and LangChain: practical DevOps use cases.
Configuring LLM Agents for DevOps Tasks
- Installing AutoGen and setting up agent profiles.
- Utilising the OpenAI API and other LLM providers.
- Establishing workspaces and CI/CD-compatible environments.
Automating Test and Code Quality Processes
- Using prompts to generate unit and integration tests via LLMs.
- Deploying agents to enforce linting, commit rules, and code review standards.
- Automating the summarisation and tagging of pull requests.
LLM Agents for Alert Management and Change Detection
- Designing responder agents for pipeline failure alerts.
- Analysing logs and traces using language models.
- Proactively identifying high-risk changes or misconfigurations.
Multi-Agent Orchestration in DevOps
- Role-based agent coordination (planner, executor, reviewer).
- Managing agent messaging loops and memory.
- Implementing human-in-the-loop designs for critical systems.
Security, Governance, and Observability
- Managing data exposure and ensuring LLM safety in infrastructure.
- Auditing agent actions and defining scope restrictions.
- Monitoring pipeline behaviour and model feedback.
Real-World 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.
Summary and Future Steps
Requirements
- Practical experience with DevOps tooling and pipeline automation.
- A solid working knowledge of Python and Git-based workflows.
- Familiarity with LLMs or experience with prompt engineering.
Target Audience
- Innovation engineers and leads overseeing AI-integrated platforms.
- LLM developers operating within DevOps or automation contexts.
- DevOps professionals investigating intelligent agent frameworks.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customised Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from £3200 + VAT*
Contact us for an exact quote and to hear our latest promotions
