Learn Docker to containerize your own app in six weeks
Six weeks of focused practice — about 40 minutes a day on the official docs, one paid deep-dive course, and one of your own projects — gets you from "what is a container" to building an image, running it, and wiring up a few services with Compose. Roughly 30 hours total. You will not be a Kubernetes platform engineer. You will be able to package your own app so it runs the same on any machine. This path assumes you are comfortable at a command line; if not, do Linux first.
6 weeks · ~30 hours · run one of your own apps in a container you built
1.Docker's official "Get started" guide
Install Docker Desktop and work straight through the official introduction. It is short, current, and free, and it walks you hands-on through the four things that matter: running your first container, building your first image with a Dockerfile, persisting data, and pushing to Docker Hub. Type every command rather than skimming. The official guide is the right starting point because it is maintained by the people who ship the tool, so it never drifts out of date the way blog tutorials do.
Free; Docker Desktop is free for personal use and small business
Docker · Get started →2.Docker Mastery, by Bret Fisher
Once the basics click, Bret Fisher's "Docker Mastery" on Udemy is the deep dive. Fisher is a Docker Captain and the course is one of the few officially Docker-endorsed ones — nineteen-plus hours that take you properly through images, layers, volumes, networking, and Docker Compose for multi-container apps. Watch at 1.25x, pause, and run every command in your own terminal. Wait for one of Udemy's frequent sales: the list price is around $90 but it routinely drops to roughly $15–20, and that is the price you should pay.
Around $15–20 on sale (list ~$90)
Docker Mastery →3.Containerize one of your own apps
Take something you already built — a Python script, a small web app, a static site, a hobby API — and write its Dockerfile from scratch. Get it building, get it running, then add a database or a second service and stand the whole thing up with one docker compose up. You will fight a port that won't bind, a file that won't mount, a dependency that won't install. Pushing through those is the entire point: when your own thing runs in a container, Docker has stopped being theory.
Free
Dockerfile reference →If this doesn't fit you
If you would rather not pay for a course and you learn best by doing, skip Bret Fisher and use KodeKloud's free Docker labs instead. They run entirely in your browser with no local setup — nine guided labs covering the run command, images, volumes, and Compose — so you can practise even on a locked-down work laptop. It is more drill and less narrative than Docker Mastery; pick it if hands-on repetition suits you better than lectures.
Why this path
Most people learning Docker stall in one of two places: they memorise commands without understanding images and layers, or they understand the theory but never containerize anything real. This sequence is built to avoid both. The official guide gives you a correct, current mental model fast; Docker Mastery fills in why containers behave as they do; and the final week forces the knowledge to land by making you debug your own broken build. Skipping step three is the common failure — you can recite docker run flags and still freeze the first time you face a blank Dockerfile for your own code.