Docker Fundamentals

Name: Docker Fundamentals
Rating: 4.5 (86 reviews)

Master Docker basics, image building, and container deployment—made for Data Engineers and developers

Created byAndreas Kretz

Last updated 4/2025

English

What you'll learn

Understand Docker concepts and terminology, including containers, images, registries, and tags.
Install Docker Desktop and navigate DockerHub to find and use existing images.
Build, run, and manage your own Docker images using the CLI and Docker Compose.
Learn how to deploy Docker containers in production environments and follow security best practices.

Course content

5 sections • 15 lectures • 1h 15m total length

Introduction3:04
Master Docker fundamentals for beginners, learn images, containers, registries, and tags, install Docker, pull from Docker Hub, build your own image, and explore Portainer for production workflows.

Docker vs virtual machines6:23
Compare Docker containers with traditional virtual machines, showing how Docker engine manages resources and packaging in images, so apps run consistently from development to production.
Docker terminology: Images, containers, registries and tags5:56
Learn to convert code into a Docker image, spawn containers for deployment, configure environment variables, volumes, ports and networks, and manage versions with tags in registries via push and pull.
How to install Docker Desktop & DockerHub introduction4:09
Install Docker Desktop and explore Docker Hub by searching for containers. Pull images like Postgres and run containers using docker pull, with WSL2 on Windows.

Pulling images & running containers in CLI6:34
Pull Portainer from Docker Hub and run Portainer CE latest in Windows Docker Desktop, map ports 8000 and 9443, and access the UI at https://localhost:9443.
CLI Cheat sheet3:38
Explore docker cli cheat sheets to run containers with image names and port mappings, manage containers and images with ps, stop, rm, and rmi, and use docker compose for automation.
Docker compose explained6:34
Github link fehlt
Build and run a simple Hello World image6:28
learn to build and run a simple hello world image with docker, using a python 3.9 base, a dockerfile, and an entry point that prints hello world with optional arguments.
Build an image requiring dependencies5:05
build a Python 3.9 docker image that loads faker via a requirements.txt, installs dependencies with pip, and prints hello with a fake name and state on startup.
Using the DockerHub image registry4:24
Sign up for Docker Hub, create a repository (private or public), tag your image, log in on your desktop, and push the image to the registry.
Understanding image layers7:55
Explore how Docker image layers cache builds, with base image, requirements, and code forming reusable layers. Learn to pull, delete, and manage images on Docker Hub for production.

Deployment of containers in production5:47
Deploy containers in production with Kubernetes, Docker Swarm, and cloud services like Fargate. Understand clusters, control planes, pods, registries, and horizontal scaling for scalable, reliable deployment.
Security best practices4:09
Learn to secure docker images and containers by using trusted official images, running as an unprivileged user, protecting environment variables, and avoiding exposing the docker socket.
Managing Docker images & containers with Portainer4:04
Explore Portainer to manage Docker images, containers, stacks, volumes, and logs, connect to Docker API, Kubernetes, or Azure, and pull images from Docker Hub.

Requirements

You should have a basic understanding of coding with Python. Experience with virtual machines is beneficial

Description

Get hands-on with Docker and start building modern, containerized solutions—no prior experience required.

Docker has become a must-know tool for Data Engineers, software developers, and anyone working in cloud or DevOps environments. In this course, you'll learn Docker from the ground up and gain the skills needed to confidently use containers in real-world projects.

We'll start with the basics: what Docker is, how it compares to virtual machines, and why it's become a go-to solution for developing and deploying applications. You’ll explore key concepts like images, containers, registries, and DockerHub.

Next, you’ll dive into practical exercises where you’ll pull pre-built images, run containers via the command line, and build your own custom Docker images. You’ll also use Docker Compose to manage multi-container applications and understand how image layers work.

In the final section, we’ll look at how Docker is used in production environments, including deployment strategies, security best practices, and how to manage your setup with tools like Portainer.

Whether you're aiming to simplify your development workflow or prepare for cloud deployments, this course will give you a strong, practical foundation in Docker that you can apply immediately.

Enroll now and start mastering one of the most valuable tools in modern software development today.

Who this course is for:

Developers building modern applications and services that need reliable, repeatable environments.

Docker Fundamentals

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 3min

Docker Concepts3 lectures • 16min

Hands-On Part7 lectures • 41min

Docker In Production3 lectures • 14min

Conclusion1 lecture • 2min

Requirements

Description

Who this course is for: