Learning path
Learning AI as a DevOps Engineer
This path helps DevOps engineers use AI to draft pipelines, troubleshoot Kubernetes, and handle incidents with less stress. It includes setup, connecting your AI, job skills, this prompt course, and picked video courses with certifications.
Your path
First steps
- Step 1Answer the setup questionsYour job, tasks and AI, so everything fits.
- Step 2Connect your AI: get an expert co-worker for your jobAdd one link to the ChatGPT, Claude or Grok you already use. From then on your own AI knows your work as a devops engineer, and helps like an expert sitting next to you.
- Your daily brief, inside your AI. Just type "Good morning" for the AI news and tools that matter for devops engineers, picked from everything that came out yesterday.
- New ideas every day, each with the prompt to do it, plus a short lesson in the right order for your level.
- Nothing to install, nothing to learn. Connect once and keep working the way you do now. It stays up to date by itself.
- Step 3Give your AI the skills of a top devops engineerYour AI becomes a specialist in your job: it picks the right skill by itself, the moment you need it.
- 6,000+ ready-made skills, with the ones for devops engineers picked for you: reports, analysis, emails, planning and more, done the expert way.
- 4,000+ MCP services that link your AI to the apps you already use, like your calendar, email, CRM or spreadsheets, so it can look things up and get work done there too.
- Build your own apps without coding. Your AI builds tools for your business from 2,000+ step-by-step app plans, so you stop paying for apps you could own.
- Always the newest. New skills and services are added every week and arrive in your AI by themselves.
- Skills picked for devops engineers: devops incident responderpostmortem writingdatabase cloud optimization cost optimizeerror debugging error analysismonitoring specialistkubernetes specialistengineering incident response commanderincident commander
Take the prompt courses
A short framework course to learn how to ask, then 8 lessons with ready-to-use prompts for devops engineers.
Start with this framework: how to talk to AI
Prompt framework course
RACE Prompt Framework: Role, Action, Context, Expectation
RACE helps you define role, action, context, and expected quality when asking for a Terraform review, so the output matches production standards.
Then your prompt course for devops engineers
Prompt course
AI for DevOps Engineers (Prompt Course)
Watch the video courses or add them to your Favorites for later
109 video courses our AI picked for devops engineers, most useful first. Save the ones you want to watch later with the heart.
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Show all 109 video courses
Get certified, or add certifications to your Favorites
Every course ends in an exam and a certificate you can add to LinkedIn. Save the certifications you are aiming for with the heart.
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More certifications for devops engineersShow all 24 certifications
About this learning path
6 topicsAI for DevOps Engineers: A Clear Learning Path
DevOps work moves fast. You are asked to fix pipelines, manage cloud infrastructure, and keep systems running, often while juggling alerts and requests. AI can help you draft, review, and explain the technical pieces so you spend less time on repetitive typing and more time on the parts that need your judgment.
This learning path is built for DevOps engineers who want practical AI help without the hype. You will start with setup questions, connect your AI tool, learn job-specific skills inside your AI, take this prompt course, and finish with video courses picked for your role and their certifications.
Why AI matters now
AI tools can read logs, draft configuration, and suggest fixes in seconds. For DevOps, that means faster pipeline edits, quicker incident triage, and clearer runbooks. It does not replace your knowledge, but it gives you a strong first draft to react to.
What this path includes
You get setup questions to prepare your tools, a guide to connecting your AI, and lessons on skills for the job inside your AI. Then you take the prompt course with lessons like CI/CD drafts, Infrastructure as Code, Kubernetes manifests, incident triage, monitoring, cost, security, and runbooks. Finally, video courses picked for DevOps engineers come with their certifications.
How it saves you time
Instead of staring at a blank file, you ask AI for a starting point. Instead of searching through logs manually, you ask AI to summarize and suggest next steps. Those small wins add up across a week, especially when incidents hit.
How it protects your career
AI is becoming a normal part of DevOps work. Learning to use it well keeps you current and shows you can adapt. You stay in control of the technical decisions while letting AI handle the first pass.
How to start
Begin with the setup questions and connect your AI. Then work through the prompt course in order, trying each lesson on a real task from your job. Pick one video course that matches your current focus, and keep the certification in mind as a goal.
Frequently asked questions
Do I need to be an AI expert to take this path?
No. The path assumes you know DevOps but not AI. You will learn simple, repeatable ways to ask for help and check the answers. The focus is on practical use, not theory.Which AI tool should I use?
You can use ChatGPT, Claude, Gemini, or another assistant you prefer. The prompts work across tools. The connecting guide helps you set up whichever one you choose.Will AI make my job redundant?
No. AI is a helper, not a replacement. It drafts and suggests, but you still review, decide, and own the systems. The path helps you use AI to do your job better, not to step away from it.How long does the path take?
You can move at your own pace. Many learners finish the prompt course in a few sittings and then explore video courses over a few weeks. The goal is steady progress, not speed.