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DevOps Roadmap for Beginners

Five free courses in the order a DevOps engineer actually needs them: the Linux command line, Git, Docker containers, SQL, and Python for automation. Every lesson runs in your browser, nothing to install, and each course ends with a free certificate.

  • 5courses
  • 8sections
  • 498hands-on lessons

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. 1

    Navigate the filesystem, manage files and permissions, chain commands with pipes, read logs, write your first bash scripts. Everything after this step happens in a terminal, so this is where the path begins.

    1 sections82 lessonsFree certificate

  2. 2

    Commits, 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.

    1 sections58 lessonsFree certificate

  3. 3

    Images, 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.

    1 sections40 lessonsFree certificate

  4. 4
  5. 5
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.

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Code Editor
1const greeting = "Hello, Coddy!"
2function sayHi(name) {
3    return greeting + " " + name
4}
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Input
"Alex"
Output
"Hello, Coddy! Alex"

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Variables
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Compete on global leaderboards, invite friends to earn rewards, and celebrate each other's wins. Coding is better with friends!

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Every way to learn

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

Prove Your Skills

Earn certificates for every course you complete. Add them to your LinkedIn profile and resume to showcase your coding expertise to employers.

CoddyCertificate of Completion
This certifies thatJohn Doehas successfully completed
python iconPython Fundamentals
Verified
DateJan 2026
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Why 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 five foundations every one of those tools assumes you already have: a terminal, version control, containers, a database and a scripting language.
  • 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, five on the path. 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 and Docker 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 three steps - Linux, Git and Docker - 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?

Not yet, and we would rather say so than pad the page. The path covers the foundations - Linux, Git, Docker, SQL and Python - that Kubernetes, GitHub Actions, AWS and the rest all assume. Those tools 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 500 lessons in total. At one focused hour a day, the Linux, Git and Docker courses take about a month together, SQL another 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?

You get a free certificate for each course you finish - Linux, Git, Docker, SQL and Python - each verifiable at its own URL and shareable on LinkedIn. There is no single 'DevOps certificate', because the honest credential is the five skills, not a label; a hiring manager can check each of them.
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