Basic Docker is a hands-on course in the fundamentals of Docker, from managing images and containers and writing multi-stage Dockerfiles to networks, volumes, multi-container systems with Docker Compose and publishing images to Docker Hub. It suits developers, system administrators and anyone comfortable with Windows or macOS who wants matching environments from development to production.
The problem of software that runs on one machine but breaks on another comes from mismatched environments. Docker solves it by packaging an app with everything it needs into a container that runs the same way on a developer's laptop, a test server and production. It has become a core skill for developers and DevOps teams, and the starting point before moving on to Kubernetes and CI/CD.
This new edition takes you from installing Docker Desktop to managing images and containers, writing multi-stage Dockerfiles with current best practice, handling networks and volumes, and using Docker Compose with compose.yaml files and Compose Watch. You then work through workshops with a LAMP stack, WordPress, Node.js with React and Laravel, before publishing images to Docker Hub with GitHub Actions. (2 days, 6 hours per day, 12 hours in total, Beginner level.)
Course Details
This course is a 2026 edition that replaces the previous Basic Docker 2022 course, rewritten for the current Docker Desktop and Docker Compose. It runs for 2 days, 6 hours per day (12 hours in total, 09:00-16:00), as lectures alternating with labs and workshops throughout. Beginner level. Learners install Docker Desktop, manage images and containers, write multi-stage Dockerfiles, handle networks and volumes, use Docker Compose and Compose Watch, work through LAMP stack, WordPress, Node.js with React and Laravel workshops, and publish images to Docker Hub with GitHub Actions. They take home the Dockerfiles and Compose files for every workshop.
Section 1: Lab: Preparing Your Machine and Installing Docker Desktop
Section 2: An Overview of Docker and Containers
Section 3: Lab: Docker Images and Containers
Section 4: Lab: Building Custom Images with a Dockerfile
Section 5: Lab: Networks and Volumes
Section 6: Lab: Docker Compose
Section 7: Workshop: A LAMP Stack and WordPress
Section 8: Workshop: Full Stack Node.js, MongoDB, React and Nginx
Section 9: Workshop: Laravel on Docker
Section 10: Lab: Publishing Images to Docker Hub
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A virtual machine emulates a whole computer, including its own operating system, so it uses a lot of memory and disk space and boots slowly. Containers share the host operating system's kernel and isolate only the app and the libraries it needs, so they are small, start in seconds and many can run on one machine. On Windows and macOS, Docker Desktop runs a small Linux VM in the background, such as WSL 2 on Windows, so it can run Linux containers.
Create a file named Dockerfile in the project folder, or let docker init generate a starting point. Use FROM to choose a base image such as node or php, WORKDIR to set the working folder, COPY to add the files you need, RUN to install packages, EXPOSE for the app's port and CMD for the start command. Add a .dockerignore file to skip unnecessary files, and use a multi-stage build to keep the final image small. Then run docker build -t myapp . and test it with docker run.
Docker Compose uses a single YAML file, now usually named compose.yaml, to describe every service an app needs, such as a web server, the app and a database, with their ports, volumes, networks and environment variables. Running docker compose up -d starts them all together. It suits multi-container systems on development machines and small servers, and during development docker compose watch can sync code into containers automatically.
It suits developers who want their development and production environments to match, system administrators and DevOps teams starting with containers, and anyone who wants a foundation before learning Kubernetes. No Docker experience is needed. You only need basic computer skills, confident use of Windows or macOS, some comfort typing commands in a terminal and the ability to search for information online.
You will be able to create and manage images and containers, including running, stopping, viewing logs and mapping ports, write multi-stage Dockerfiles, manage networks and volumes, use Docker Compose to run multi-container systems such as a LAMP stack, WordPress, Node.js with MongoDB and React, and Laravel, push images to Docker Hub and set up GitHub Actions to build them automatically. Participants who complete the training receive a Certificate of Completion with its own number, which can be verified online.
The course uses Docker Desktop on Windows (through WSL 2) or macOS, with Visual Studio Code and extensions for Docker. The first part covers recommended specifications and installation on each system. The final part uses Docker Hub and GitHub to publish images, so you should sign up for free accounts on both. Docker Desktop is free for personal use, education and small businesses, while larger organisations need a paid plan under Docker's terms.
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