This DevOps course teaches you to package apps in Docker, run them on Kubernetes and automate builds with Jenkins. Classes are live in Hinglish, in a small batch of up to 30. Every lab is reviewed by a mentor and your work goes to GitHub.
At a glance
Tools
Who it's for
Before you start
Outcomes
Real skills you can show — every project goes on your GitHub.
Syllabus
Each module has a clear goal, live classes, a lab session and practice you push to GitHub. Your mentor reviews it and tells you exactly how to improve.
Module 1
Be comfortable in the terminal and understand what DevOps is trying to fix.
Practice: Run a small web app on a Linux machine and read its logs
Module 2
Package an app into a container that runs the same way on any machine.
DockerDocker Hub
Practice: Containerise a web app and push the image to a registry
Module 3
Run an app with its database and other services using one command.
Docker Compose
Practice: Run a web app with a database using Docker Compose
Module 4
Understand how Kubernetes runs and keeps your containers alive.
kubectlMinikube or kind (local cluster)
Practice: Deploy a web app to a local Kubernetes cluster
Module 5
Scale an app up and down, update it without downtime and keep its data safe.
Helm
Practice: Roll out a new version of your app and roll it back
Module 6
Automate build, test and deploy steps with a pipeline stored in your repository.
JenkinsGitHub
Practice: A Jenkins pipeline that builds, tests and deploys a containerised app
Module 7
See what your cluster is doing and apply basic security habits.
PrometheusGrafana
Practice: A Grafana dashboard for your Kubernetes app
Module 8
Take a real app from source code to a running, monitored cluster.
Practice: A multi-service app deployed to Kubernetes with a Jenkins pipeline and a README
Projects
Pick one, plan it like a real team with tickets, build it, and present it. It becomes the centrepiece of your portfolio.
Package a web app and its database with Docker and Docker Compose, with a clear README.
Deploy a frontend, an API and a database to a cluster with scaling and rolling updates.
Automate tests, image builds and deployment every time code is pushed to GitHub.
Add Prometheus and Grafana to your app and show its health on a dashboard.
Opening soon
This specialisation isn't scheduled yet. Join the waitlist and we'll tell you first when a batch opens. We open the courses with the most interest first.
Where it can lead
Roles this skill helps you towards
No course can guarantee a job. We help you build real skills, real projects and a portfolio you can show.
FAQ
The batch is not scheduled yet. Join the waitlist and we will tell you first when it opens. No dates or prices are fixed today.
Classes are live in Hinglish. Commands, config files and notes are in English, as they are in real DevOps work.
A laptop or desktop with 8 GB RAM or more and a stable internet connection works best, because we run containers and a small local cluster. Phones and tablets are not enough.
No. Most labs run on your own laptop. We use free tiers and sandbox accounts, and we shut resources down after class, so no one gets a surprise cloud bill.
Kubernetes runs containers, so you must know what a container is first. We spend the first part of the course on Docker so Kubernetes makes sense.
Yes, many companies still run Jenkins. We also cover the same ideas with GitHub Actions in our CI/CD course, so you can use either.
Keep going
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Baking your code to give you a pie
Join a live demo class, meet the mentor and see how a CodeBakerz batch works. No payment, no pressure — decide after.
