Step 1
Learning path
DevOps Roadmap for Beginners
Free courses in the order a DevOps engineer actually needs them: the Linux command line, Git, Docker containers, Kubernetes, SQL, and Python for automation. Every lesson runs in your browser, nothing to install, and each course ends with a free certificate.
2,204,234+ codders enrolled across these courses
543 lessons592 challenges2,783 quiz questions
- Beginner friendly
AI-assisted coding help
Hands-on interactive lessons
Audio narration on every lesson
Quizzes to test your knowledge
A path certificate at the end, plus 9 along the way
The DevOps training path, step by step
Each step is an existing Coddy course. Take them in order, or jump into the one you are missing - your progress is saved per course either way.
- 1
- 2Step 2
Git and version controlDedicated page
Start this stepStartCommits, branches, merging, resolving conflicts, remotes, and undoing mistakes safely. Every deployment pipeline starts from a Git repository, and every incident review ends in its history.StartDedicated page - 3Step 3
Docker and containersDedicated page
Start this stepStartImages, containers, Dockerfiles, volumes and container networking, practised hands-on. Containers are how modern software is packaged and shipped, and the unit Kubernetes and every cloud platform work with.StartDedicated page - 4Step 4
Kubernetes and container orchestrationDedicated page
Start this stepStartPods, YAML manifests, Deployments, Services, ConfigMaps and Secrets, driven with kubectl against a simulated cluster: scale an app, roll out a new version, roll it back, and debug a Pod stuck in CrashLoopBackOff. Kubernetes is where most teams run the containers the previous step taught you to build.StartDedicated page - 5Step 5
SQL and databasesDedicated page
Start this stepStartQuery, filter, join and aggregate real tables. DevOps work means backing up, migrating and debugging databases, and reading the queries a slow service is running.StartDedicated page2 sections, in order - 6Step 6
Python for automationDedicated page
Start this stepStartThe scripting language of DevOps: file and text processing, working with APIs and JSON, and turning a twenty-command runbook into one script. Prefer Go? The Go course is a fine substitute for this step.StartDedicated page3 sections, in order
What you get
Everything you'll use to learn to code
Learn by Doing
Write real code, query databases, build websites, and master AI prompts. Our interactive lessons cover every skill modern developers need.
playground.js
Code Editor
1const greeting = "Hello, Coddy!"
2function sayHi(name) {
3 return greeting + " " + name
4}
5
Test #1
Test #2
Test #3
Input
"Alex"
Output
"Hello, Coddy! Alex"
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Read, listen, test yourself, ask the AI, or look up anything you've already covered. Every lesson meets you where you are.
Intro to Variables
Audio
A variable is a named container that stores a value you can reference later in your program.
In Python, you create one by writing the name, an equals sign, then the value you want to store.
The value can change over time. Reassigning the name simply points it to a new value.
1xSarah
Earn a Certificate
Earn certificates for every course you complete. Add them to your LinkedIn profile and resume to showcase your coding expertise to employers.
Certificate of CompletionThis certifies thatJohn Doehas successfully completedPython Fundamentals
Python Fundamentals
DateJan 2026
Add to LinkedInWhy start DevOps with Coddy
- Hands-on from the first lesson. You type real commands into a real Linux shell, commit to a real Git repository and build real Docker images in the browser - the muscle memory DevOps work is made of, not slides about it.
- The right order. Most DevOps roadmaps list forty tools; this path teaches the foundations every one of those tools assumes you already have - a terminal, version control, containers, a database and a scripting language - and Kubernetes, the platform most of those containers end up running on.
- AI hints that read your actual output - a failed
chmod, a merge conflict, a container that exits immediately - and nudge you toward the fix without handing it over. - One free certificate per course. Shareable on LinkedIn, and each one names a skill a hiring manager can test in an interview.
Frequently asked questions about learning DevOps
What is DevOps, in plain terms?
DevOps is the practice of building, shipping and running software as one continuous loop instead of a hand-off between a development team and an operations team. In day-to-day work it means automating how code gets tested, packaged and deployed, and being comfortable enough with servers, containers and the command line to keep those systems healthy. The tools change every few years; the foundations on this path do not.
What should I learn first for DevOps?
The Linux command line, before anything else. Almost every DevOps tool - Git, Docker, Kubernetes, Terraform, Ansible, every CI system - is driven from a terminal and runs on Linux servers. Once the shell feels natural, Git and Docker follow easily, and a scripting language like Python turns repetitive tasks into automation. That is exactly the order of this path.
Can I learn DevOps for free?
Yes. Every course on this path is free: the lessons, the browser-based Linux terminal, the Git, Docker and Kubernetes exercises, the AI hints and the certificate at the end of each course. There is no bootcamp fee and nothing to install.
Do I need to know how to code to learn DevOps?
Not to start. The first four steps - Linux, Git, Docker and Kubernetes - need no programming at all. Python comes last on the path precisely because scripting is what you reach for once you have repetitive command-line work worth automating. If you already know a language, you can skip that step or swap in Go, which is also taught on Coddy.
Does this path cover Kubernetes, CI/CD or cloud platforms?
Kubernetes, yes: it is the fourth step, taught hands-on with kubectl against a simulated cluster, from Pods and Deployments to Services, configuration and debugging. CI/CD and the cloud platforms, not yet, and we would rather say so than pad the page. GitHub Actions, AWS and the rest build on the steps here and are on the curriculum roadmap; when a course ships, it joins this path as a new step.
How long does the DevOps path take?
Around 550 lessons in total. At one focused hour a day, the Linux, Git and Docker courses take about a month together, Kubernetes another week or so, SQL two to three weeks, and Python four to six weeks depending on how far you go. Most people are productive at a terminal within the first two weeks.
Do I get a DevOps certificate?
Yes. Finish every step and you get one free DevOps path certificate. It lists each course you finished on the way, and links each course's own certificate, so a hiring manager can check every skill it names. Each course also gives its own certificate as you go, and you can add any of them to LinkedIn. It is a certificate of completion from Coddy, not an accredited qualification.
Do I get a certificate for the DevOps path?
Yes. Finish every step and you get one free certificate for the whole DevOps path. It lists each course you finished on the way, and links each course's own certificate, so anyone can check every skill it names. You can add it to your LinkedIn profile. It is a certificate of completion from Coddy, not an accredited qualification.
