You'll go from starting and stopping your first container to seeing how to clean your environment by removing all containers and images. You'll see how to debug issues by running commands inside a container or executing bash commands in a container interactively. All of this is done using the Docker Command Line Interface.

Running Docker containers

Running your first container

Running a container in the background

An interactive container

Working with Docker containers

Helping a colleague

Cleaning up containers

Managing local docker images

Pulling your first image

Pulling a specific tag

Cleaning up images

Using Docker Containers

Once you are able to manage images and containers, it's time to know how to share images with colleagues or your entire company and to understand how to create your own. Now, you'll build your own images using Dockerfiles. Dockerfiles are text files that include everything needed for Docker to build an image. You'll learn how to create images and will get an introduction to all the essential Dockerfile instructions like FROM, RUN, COPY, and more. By the end of this chapter, you'll have insight into how Docker makes images and be able to create optimized Docker images from scratch.

Distributing Docker Images

Sharing your work using a Docker registry

Saving an image to a file

Receiving Docker Images

Creating your own Docker images

Building your first image

Working in the command-line

Editing a Dockerfile

Creating your own Dockerfile

Managing files in your image

Copying files into an image

Copying folders

Working with downloaded files

Choosing a start command for your Docker image

Overriding the default command

Adding a CMD

Writing Your Own Docker Images

In this final chapter, you’ll focus on making your Dockerfiles configurable and secure. You'll learn how to make your Dockerfiles configurable using the ARG and ENV instructions. You’ll see why changing the user in your images makes them more secure and how to use the USER Dockerfile instruction to do so. To wrap things up, you’ll learn about some essential security best practices when creating Docker Images.

Introduction to Docker caching

Docker caching

Ordering Dockerfile instructions

Changing users and working directory

WORKDIR and USER

Setting the user

Setting the working directory

Variables in Dockerfiles

Understanding ARG and ENV

Overriding ARG in a build

Changing behavior when starting a container

Creating Secure Docker Images

Security best practices

Keeping packages up-to-date

Be safe, don't use root

Course Glossary


Docker is a tool used to develop, run, and ship containers. It’s an essential part of every data professional’s toolbelt, helping to create robust, secure, and scalable applications or workflows.
In this course, you’ll become a Docker pro, gaining hands-on experience using Docker CLI.

Learn the Docker basics and understand how to create and manage containers using Dockerfiles and instructions. You’ll learn the Docker terminology and get hands-on experience with Docker commands using the Docker Command Line Interface.

As you progress, you’ll learn how to create and manage Docker containers using Dockerfiles and Dockerfile instructions. To wrap up, you’ll learn Docker image security best practices to make your images safe and secure.

The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos.
The course glossary can be found on the right in the resources section.
To obtain CPE credits you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.

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Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

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Machine Learning Engineer

Professional Data Engineer in Python

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