Best Free DevOps Courses in 2026 (Docker, Kubernetes, Azure)

DevOps is not a tool or a job title you install. It's a way of building and shipping software where the people who write code and the people who run it work as one team, with automation doing the repetitive parts. In practice that means a few concrete things: continuous integration and delivery (CI/CD) so code gets tested and deployed automatically, containers so an app runs the same on your laptop as in production, and infrastructure as code so servers are defined in files you can version and review instead of clicked together by hand. That sounds like a lot, and it is. But you don't learn it all at once. The single best place to start is Docker. Containers are the foundation that CI/CD pipelines, Kubernetes, and most modern deployment setups are built on. Learn Docker first and the rest of DevOps stops feeling like a pile of unrelated tools and starts looking like one connected workflow. Every course on this list is free and self-paced. Two are free YouTube courses from freeCodeCamp; one is Microsoft's official free learning path. The only thing you might pay for later is a certification exam, and none of these three require that to be useful.

This is a 2-hour Docker crash course on freeCodeCamp's YouTube channel, and it's where almost everyone should begin. It covers what containers are, how they differ from virtual machines, how to write a Dockerfile, build an image, and run a containerized application on your own machine. By the end you'll have packaged a real app into a container, which is the moment Docker stops being abstract. Who it's for: complete beginners to DevOps who already have some coding background. You don't need to be an expert, but you should be comfortable using a terminal and have written a small program before. The pace is brisk, so pause and type along rather than just watching. Honest take. The strength here is speed: it's the fastest path to actually running Docker locally and understanding why containers matter. The limit is scope. It's a focused 2 hours, so it doesn't touch Kubernetes, CI/CD, or cloud deployment. That's fine. Those are the next courses, not this one. See the course at /courses/freecodecamp-docker and the platform at /platforms/freecodecamp.

Once you can build and run a single container, the next question is how to run lots of them reliably in production. That's what Kubernetes does, and this freeCodeCamp tutorial takes you from Docker basics to running an actual cluster. It covers pods, deployments, services, and the core ideas behind container orchestration: scaling, self-healing, and rolling updates. Prerequisite: finish the Docker course first. This one assumes you already know what a container is and why you'd want one. Trying to learn Kubernetes before Docker is a common mistake, and it makes the whole thing harder than it needs to be. Honest take. The payoff is that you'll understand the full container workflow, from one container on your laptop to a managed cluster, which is exactly what production DevOps work looks like. The catch is that Kubernetes is genuinely dense, and this course moves quickly through a lot of concepts. If you're brand new, expect to rewatch sections. See the course at /courses/freecodecamp-kubernetes.

Containers are half the story. The other half is the pipeline: how code moves from a developer's commit to a running deployment, automatically and safely. Microsoft Learn's AZ-400 path is the free, official track for that side of DevOps. It covers CI/CD pipelines, Azure DevOps, infrastructure as code, source control workflows with Git, and release management. It's browser-based with hands-on modules, and finishing it earns a free Microsoft credential. This is the most enterprise-focused course on the list, and that's the point. AZ-400 maps to Microsoft's DevOps Engineer Expert certification, so it's the right pick if you're targeting companies that run on Azure, or if you want a recognized credential on your resume. Even if you never sit the paid exam, the free path teaches the process and tooling side that the two container courses skip. Best for: people aiming at enterprise or Azure environments, or anyone who wants the CI/CD and infrastructure-as-code half of DevOps from an official source. See the course at /courses/microsoft-learn-devops and the platform at /platforms/microsoft-learn.

| Course | Provider | Duration | Depth | Best for | |---|---|---|---|---| | Learn DevOps Basics: Docker | freeCodeCamp | ~2 hrs | Beginner | First container, fastest start | | Kubernetes Full Beginners Tutorial | freeCodeCamp | ~4 hrs | Intermediate | Container orchestration | | AZ-400 Enterprise DevOps | Microsoft Learn | ~8 hrs | Intermediate | CI/CD, IaC, Azure, a credential |

If you're new to DevOps, don't choose. Do them in order. Docker first, because it's the foundation everything else sits on. Kubernetes second, because it's where containers go in production. AZ-400 third, because the pipeline and process side makes the most sense once you understand what you're actually deploying. If you already know Docker, skip straight to the Kubernetes tutorial or the AZ-400 path depending on what you need: orchestration or pipelines. And if your job is Azure-heavy, you can reasonably start with AZ-400 and pick up the container courses alongside it. Browse the full set at /languages/devops.

DevOps sits on top of a few skills these courses assume rather than teach. Shore them up as you go. Cloud fundamentals come first: DevOps and cloud computing overlap heavily, and our /guides/best-free-cloud-computing-courses-2026 guide covers the free AWS and Azure paths worth taking next. Scripting matters too, since a lot of DevOps automation is glue code in Bash or Python. Pick up a CI/CD tool you can practice with for free: GitHub Actions is the easiest to start with and runs on any public repository. And get comfortable on the Linux command line, because most servers and containers you'll touch run Linux. DevOps grows naturally out of backend work, so our /learn/backend path is a good companion if you're coming from the application side.