Containerization Using Docker

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In this Guided Project, you will:

Create a customised Docker image using Dockerfile

Perform data persistence in Docker using volumes and copy command

Create a Docker image tar file and extract back the image from the tar file

1 hour 15 minutes
Intermediate
No download needed
Split-screen video
English
Desktop only

Welcome to "Containerization using Docker". In this guided project you will learn how to use Docker to create a customised image of your application using Dockerfiles, enable data persistence and will also learn various methods to share your Docker images. Also, the task-based approach that we follow in our guided project will get you a better understanding of basic commands in Docker that comes very handy while working on your real-life project. . Most importantly you will leave this course with more confidence that will get you to work in Docker platform more efficiently. If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center. Good luck as you get started, and I hope you enjoy the course! Happy learning !!!!!

Skills you will develop

  • Linux

  • Devops

  • containerization

  • Docker

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Creation of a customised Docker image for a python application using Dockerfile

  2. Performing data persistence in Docker using Docker volumes

  3. Performing data copy from a Docker container to Docker host.

  4. Creation of an image tar file from Docker image and also retrieve back image from the tar file

  5. Creation of an image tar file directly from Docker container and also retrieve back image from the tar file

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

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You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.