Learning path
AI for devops engineers
Be the AI expert in your job. Always up to date.
Your first AI Expert certificate this week. Your AI set up in 15 minutes.
This is exactly what happens after you join. Try it: everything below reacts to your choices.
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Picked by our course-matching AI for devops engineers, your level and your AI, from 700+ courses. Each course ends in a short exam and an AI Expert certificate. New courses arrive every week and your suggestions update with them. Your choices are kept in this browser until you join.
For members: your personal setup prompt, with your sign-in built in. Here's what's inside.
What the setup does
- Connects your AI to your AI Coach: ChatGPT, Claude, Cowork, Microsoft Copilot and more
- Asks you a few questions about your work and saves your profile
- Gives your AI the skills, prompts and tools for devops engineers
- Writes your personal instructions and gives you today's first suggestion
What your AI gets: the devops engineer AI kit
See everything in your devops engineer AI kit: log in or sign up first → · Start for Free
Like "Write Kubernetes Deployment Manifests"
A new idea from your AI Coach every day
Let your AI look at and change things in your Kubernetes cluster, like pods, deployments and services.
From 4,600+ connections, after a short interview about the apps you use
No critical system goes more than one day without a verified good backup
From 3,900+ AI agents: hand a whole task to AI
Cuts time-to-root-cause and coordination effort while engineers keep control of fixes.
From 2,400+ apps you can build, with step-by-step prompts
Not connected? The same suggestions wait for you on your dashboard under Today, with prompts to copy into any AI.
All the courses, certifications, AI tools, connections and apps for devops engineers, most relevant first. Tap the heart on anything to save it for later.
All prompt courses for devops engineers
How to talk to AI, then 8 lessons with ready-to-use prompts for devops engineers.
All video courses for devops engineers
109 video courses our AI picked for devops engineers, most useful first. Tap the heart to save one for later.
Favorites are saved to your account: sign in or get your AI kit first.
All certifications for devops engineers
Every course ends in a short exam and an AI Expert certificate you can add to LinkedIn. Tap the heart to save the ones you're aiming for.
Favorites are saved to your account: sign in or get your AI kit first.
More certifications for devops engineersAll AI tools for devops engineers
24 AI tools our AI matched to the work of devops engineers, best fit first. Each review shows what it does, its alternatives and the jobs it suits.
Favorites are saved to your account: sign in or get your AI kit first.
All connections for devops engineers
Connections let ChatGPT, Claude or Copilot look things up and get work done in other apps, like your email, calendar or bookkeeping software. These 12 fit the work of devops engineers best, well-known apps first.
AWS SSO MCP server
by aashariLet your AI log into AWS, list your accounts and roles, and run AWS commands for you.
Observability MCP server
by alimuratkusluAsk your AI about your Grafana, Prometheus, Kafka and Datadog setup and get answers in plain chat.
Kubernetes MCP server
by manusaLets your AI look at your Kubernetes or OpenShift cluster, check pods and logs, and make changes when you ask.
Jenkins MCP server
by avisangleLets your AI start Jenkins jobs, check build status, read logs, and fetch build files for you.
Grafana MCP server
by grafanaLets your AI search dashboards, check alerts, and query your Grafana data for you.
Analytics Official
Nimbus MCP server
by nimbus-agentLets your AI search your engineering tools like GitHub, Jira, Slack and PagerDuty in one place.
Developer tools Official
OpenShift MCP server
by dockndevaiLets your AI look at your OpenShift cluster: projects, pods, logs, and safe changes when you allow them.
Radar MCP server
by skyhook-ioLets your AI look inside your Kubernetes clusters to check resources, events, logs and Helm state.
Developer tools Official
Buildkite MCP server
by buildkiteLets your AI look at your Buildkite pipelines and builds, compare them, and help you figure out what broke.
Developer tools Official
Docker MCP server
by L337-orgLets your AI look at and manage your Docker containers, images and services for you.
Kubernetes MCP server (MKP)
by StacklokLabsLet your AI look at and change things in your Kubernetes cluster, like pods, deployments and services.
Metoro MCP server
by metoro-ioLets your AI answer questions about your Kubernetes cluster using Metoro's monitoring data.
Developer toolsAnalytics OfficialAll apps you can build for devops engineers
Apps you build yourself with your own AI, no coding needed and no monthly fee. Our AI picked the 12 that fit the work of devops engineers.
Production incident triage and response coordination portal
Reduce time to coordinated resolution while keeping responders in control.
Alert investigation and fix console
Reduce time from alert to reviewed fix while keeping engineers in control.
Technical runbook prerequisite checker
Readiness before executing a runbook.
Build artifact provenance explorer
Explain where released artifacts originated.
Production incident root-cause coordination portal
Cut time-to-root-cause and incident coordination effort while keeping engineers in control of fixes.
Incident reporting assistant
A verifiable incident timeline with uncertainty explicitly preserved.
Technical incident replay academy
Build operational capability without production disruption.
Observability retention optimizer
Control observability cost without discarding required evidence.
Flaky-test isolation laboratory
Recover meaningful CI signal and reduce repeat investigation.
AI delivery workspace with managed implementation
Reduce tool sprawl and handoff effort while keeping project data and workflow under the team's control.
Managed GPU model deployment control plane
Reduce the number of rented platforms and manual handoffs needed to deploy and run AI models.
Agentic software delivery control workspace
Consolidate planning, coding, review and release checks into one owned workspace.
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.
At a glance
What you get
- 3 step setup process
- Relevant courses for your job (700+ available)
- A certificate per course
- AI Coach
- 15-minute AI setup in ChatGPT, Claude, Copilot and more