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Prompt course · 8 lessons · 25 prompts · 1 hour · Beginner

AI for DevOps Engineers

Learn to use AI to draft CI/CD pipelines, write Terraform, debug Kubernetes, triage incidents, and more. This course gives you prompts you can use right away in ChatGPT, Claude, or Gemini.

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What you'll learn

  • CI/CD pipelines: Draft, debug, and improve pipeline configuration for platforms like Jenkins, GitHub Actions, or GitLab CI.
  • Infrastructure as code: Generate and review Terraform, CloudFormation, or Ansible code for cloud resources.
  • Kubernetes manifests: Write and troubleshoot YAML for deployments, services, and resource limits.
  • Incident triage: Turn alerts, logs, and symptoms into a structured troubleshooting plan and clear updates.
  • Monitoring and alerts: Draft alert rules, SLOs, and dashboards from your service expectations.
  • Cloud cost and scaling: Estimate costs, draft autoscaling policies, and find waste in resource reports.
  • Security and secrets: Review access policies, explain scan findings, and draft secrets handling guidance.
  • Runbooks and handoffs: Turn system knowledge into runbooks, postmortems, and team handoff notes.

What's inside

8 lessons · 25 prompts
  1. Before you start · framework course RACE Prompt Framework: Role, Action, Context, ExpectationRACE helps you define role, action, context, and expected quality when asking for a Terraform review, so the output matches production standards.
  2. Start here Ravi's Wednesday, two waysA day in the life of a DevOps Engineer, before and after these prompts.
  3. 01 Lesson 1 · 3 prompts CI/CD Pipeline Drafts
  4. 02 Lesson 2 · 3 prompts Infrastructure as Code
  5. 03 Lesson 3 · 3 prompts Kubernetes Manifest Help
  6. 04 Lesson 4 · 3 prompts Production Incident Triage
  7. 05 Lesson 5 · 3 prompts Monitoring and Alerting
  8. 06 Lesson 6 · 3 prompts Cloud Cost and Scaling
  9. 07 Lesson 7 · 3 prompts Security and Secrets
  10. 08 Lesson 8 · 4 prompts Runbooks and Collaboration

About this course

7 topics

Prompt Course for DevOps Engineers: Practical AI Help

This prompt course is for DevOps engineers who want to use AI on real tasks. You will learn how to ask for pipeline drafts, infrastructure code, Kubernetes manifests, incident plans, and more. Each lesson gives you a pattern you can reuse.

The lessons move from common daily work to team collaboration. You do not need to memorize anything. You just need to practice with your own systems and keep a critical eye on the output.

  1. The lessons
    1. CI/CD Pipeline Drafts: Use AI to draft, debug, and improve CI/CD pipeline configuration for common platforms.
    2. Infrastructure as Code: Use AI to generate and review Terraform, CloudFormation, or Ansible code for cloud resources.
    3. Kubernetes Manifest Help: Use AI to write and troubleshoot Kubernetes YAML for deployments, services, and resource limits.
    4. Production Incident Triage: Use AI to turn alerts, logs, and symptoms into a structured troubleshooting plan and clear updates.
    5. Monitoring and Alerting: Use AI to draft alert rules, SLOs, and dashboards from service expectations.
    6. Cloud Cost and Scaling: Use AI to estimate costs, draft autoscaling policies, and find waste in resource reports.
    7. Security and Secrets: Use AI to review access policies, explain scan findings, and draft secrets handling guidance.
    8. Runbooks and Collaboration: Use AI to turn system knowledge into runbooks, postmortems, and team handoff notes.
  2. What the course covers

    The course covers eight lessons that match common DevOps tasks. You will work with CI/CD, infrastructure as code, Kubernetes, incident triage, monitoring, cost, security, and runbooks. Each lesson gives you prompts and examples you can adapt.

  3. How the lessons connect

    The lessons build on each other. A pipeline draft might lead to an infrastructure review, then a Kubernetes fix, then an incident plan. By the end, you have a full set of prompts for the whole DevOps cycle.

  4. How to use the prompts well

    Be specific. Include the tool, the error message, and what you have already tried. Ask for a short explanation so you learn while you work. Always review the output before you use it.

  5. Who this course is for

    This course is for DevOps engineers, site reliability engineers, and platform engineers who want to use AI in their daily work. It is also helpful for developers who handle deployments and operations. No prior AI experience is needed.

  6. Safety and privacy first

    Never paste real secrets, passwords, or customer data into an AI tool. Use placeholders and sanitized logs. Check your company policy before sharing any internal code or configuration.

  7. Your next step

    Pick one lesson from your current pain point, like a failing pipeline or a noisy alert. Open your AI tool and try the prompt pattern. Then move to the next lesson when you feel ready.