This course contains the use of artificial intelligence.

Build one real delivery pipeline end to end — Git, Docker, Kubernetes, Jenkins, GitHub Actions and Terraform — on a single project, and learn to say the lines interviewers reward.

  - Package any application with a Dockerfile you can write from memory — layers, build cache and port mapping included

  - Run the Git workflow senior engineers actually use: small branches, fast-forwards, merge commits, conflicts resolved by combining intent, and the golden rule of rebase

  - Deploy to Kubernetes from a Deployment + Service YAML you can read line by line — desired state, self-healing, scaling, and fixing an ImagePullBackOff with two commands

  - Write a 24-line declarative Jenkinsfile with gated deploys and a post block that reports honestly, whatever happened

  - Build a GitHub Actions pipeline where every push is tested across a version matrix and only green merges to main deploy — with secrets encrypted, masked, and never in the code

  - Provision infrastructure with Terraform: init, plan, apply, scale, destroy — and treat state as production data, because it holds secrets in clear text

  - Combine all of it in a capstone: one continuous pipeline from commit to production that you watch refuse to ship broken code

  - Answer the DevOps interview questions with the exact sentences — and the worked stories — senior engineers use