
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.
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.
Github link fehlt
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.
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.
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.
Explore Portainer to manage Docker images, containers, stacks, volumes, and logs, connect to Docker API, Kubernetes, or Azure, and pull images from Docker Hub.
Level up your docker skills by deploying containers to the cloud with Kubernetes or Fargate and by setting up CI/CD pipelines for automated builds and deployments.
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.