Learn DevOps.
Ship faster
with AI.

Hands-on courses in CI/CD, containers, cloud infrastructure and AI-assisted engineering. Build real pipelines, not slide decks.

Browse courses ChatGPT for Developers
12,000+engineers trained
40+hands-on labs
4.8/5learner rating
devai@academy: ~/lab-03-pipeline 
$ git push origin main
→ pipeline #482 started
[build]   docker build -t app:1.4.2 .   ✔ 38s
[test]    pytest --cov=85               ✔ 142 passed
[scan]    trivy image app:1.4.2         ✔ 0 critical
[plan]    terraform plan                +3 ~1 -0
[deploy]  kubectl rollout status        ✔ 3/3 ready
[ai]      review summary posted to PR   ✔
✓ deployed to production in 4m 12s
// courses

Pick a track. Build the real thing.

Every course ends with a deployed project you can show in your portfolio or on the job.

Beginner

DevOps Foundations

Linux, Git, networking basics and your first automated pipeline with GitHub Actions.

6 weeks · 14 labs
Intermediate

Docker & Kubernetes in Production

Package, deploy and scale services. Helm, autoscaling, ingress and zero-downtime releases.

8 weeks · 18 labs
Advanced

Infrastructure as Code & SRE

Terraform, observability with Prometheus and Grafana, SLOs and incident response.

8 weeks · 16 labs
// featured program

ChatGPT for Developers

Use ChatGPT as a daily engineering tool: write and review code, debug faster, generate tests and automate DevOps chores without leaking secrets or trusting bad output.

  • Prompt patterns for coding, refactoring and code review
  • Generate Dockerfiles, CI workflows and Terraform, then verify them
  • Debug logs, stack traces and failed pipelines in minutes
  • Security, privacy and licensing rules for AI-generated code
  • Build a small AI-powered dev tool with the OpenAI API
$249$349· 4 weeks · self-paced + live Q&A
Join the next cohort View the course
you › prompt
Our GitHub Actions deploy fails with:
"ImagePullBackOff: unauthorized".
Here are the workflow and the k8s manifest.
What is wrong, and how do I fix it?
chatgpt › response
# Likely cause
The cluster has no pull credentials for your
private registry.

# Fix
kubectl create secret docker-registry regcred \
  --docker-server=ghcr.io \
  --docker-username=$GH_USER \
  --docker-password=$GH_TOKEN

# Then reference it in the pod spec
imagePullSecrets:
  - name: regcred
you › in class
You learn to verify every suggestion before it ships.
// learning path

From first commit to production on-call.

Each stage builds on the last. Start where you are.

Stage 1

Foundations

Linux, Git, scripting and CI basics.

Stage 2

Containers

Docker, registries and Kubernetes deploys.

Stage 3

Automate with AI

ChatGPT for Developers and AI-assisted pipelines.

Stage 4

Operate

Terraform, monitoring, SLOs and incidents.

// tools you will use

The stack teams actually run.

GitGitHub ActionsGitLab CIDockerKubernetesHelmTerraformAnsibleAWSAzurePrometheusGrafanaChatGPTOpenAI APIPythonBash
// learner feedback

Engineers who shipped.

I cut our deploy time from 40 minutes to 6 after the Kubernetes course.
Minh T. · Backend Engineer
The ChatGPT program changed how I debug. I now verify, not just paste.
Sara L. · Full-stack Developer
Real labs, real clusters. I passed my SRE interview two months later.

Start your next deploy here.

Get the course catalog and early access to the next ChatGPT for Developers cohort.