Course Includes:
- Price: FREE
- Enrolled: 100 students
- Language: English
- Certificate: Yes
- Difficulty: Beginner
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Course Folder
What You'll Learn
- 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,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,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 ne
Requirements
- Basic familiarity with any programming language (the running project is a small Python shop app; the Jenkins lecture builds a Maven project — both are fully explained as they are used),A computer with an internet connection; all tools used are free (Git
- Docker Desktop
- a local Kubernetes such as Docker Desktops built-in cluster
- Jenkins
- Terraform),You do not need a paid cloud account: the Terraform lecture runs the complete real lifecycle on local providers
- and the course says plainly what transfers to a real cloud,No prior DevOps experience assumed — the course starts from "it works on my machine"
Description
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
Who this course is for:
- Developers who can write code but have never owned how it ships — and want the full delivery picture on one real project,Production-support
- SRE and platform engineers who meet these pipelines at work and want the model underneath the YAML,Engineers preparing for DevOps / backend / SRE interviews who need worked stories
- not definitions,Students and career-switchers who want one honest
- end-to-end DevOps foundation before specialising
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