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⇱ Docker Basics for DevOps | Coursera


Docker Basics for DevOps

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Docker Basics for DevOps

This course is part of DevOps Mastery Specialization

5,039 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.7

45 reviews

Beginner level
No prior experience required
7 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.7

45 reviews

Beginner level
No prior experience required
7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply Docker fundamentals for containerization.

  • Manage Docker images, containers, and networks.

  • Build custom Docker images using Dockerfiles.

  • ntegrate Docker into DevOps workflows for projects.

Details to know

Shareable certificate

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Assessments

6 assignments

Taught in English

Build your subject-matter expertise

This course is part of the DevOps Mastery Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 6 modules in this course

Docker is an open platform for developers and sysadmins to build, ship, and run distributed applications, whether on laptops, data center VMs, or the cloud.

This course introduces Docker to an Absolute Beginner using really simple and easy-to-understand lectures. Lectures are followed by demos showing how to set up and get started with Docker. The coding exercises that accompany this course will help you practice Docker commands, develop your own images using Dockerfiles, and practice Docker Compose. You will be developing Docker files for different use cases right in your browser. This way, you don’t really need to have your own environment set up to get some hands-on practice. The coding exercises will validate your commands and Dockerfiles and ensure you have written them correctly. And finally, we have assignments to put your skills to the test. You will be given the challenge to solve using the skills you gained during this course. This is a great way to gain real-life project experience and work with the other students in the community to develop a Dockerfile and get feedback for your work. The assignment will push you to research and develop your own Docker images. Docker Course Requirements 1. Basic System Administrator Skills 2. Good to have (Not Mandatory) access to a Linux System to setup Docker to follow along

This module introduces Docker’s purpose and fundamentals in modern software development and guides you through installing and setting it up on your system. You’ll then learn the essential commands for working with images, containers, volumes, and networks through guided demonstrations and hands-on labs. This will help you in building the skills to navigate and manage Docker environments effectively.

What's included

6 videos2 readings2 assignments

6 videosβ€’Total 47 minutes
  • Introductionβ€’3 minutes
  • Docker Overviewβ€’13 minutes
  • Getting started with Dockerβ€’2 minutes
  • Demo - Setup and Install Dockerβ€’4 minutes
  • Basic Docker Commandsβ€’8 minutes
  • Demo - Docker Commandsβ€’18 minutes
2 readingsβ€’Total 20 minutes
  • Course Overview & Engage with Communityβ€’10 minutes
  • Hands-on Lab: Basic Docker Commandsβ€’10 minutes
2 assignmentsβ€’Total 60 minutes
  • Docker Introductionβ€’30 minutes
  • Docker Commandsβ€’30 minutes

The "Docker Run" module focuses on the essential Docker Run command for container instantiation. Participants will learn how to use Docker Run to launch and manage containers efficiently. Through guided demonstrations, participants will explore advanced features of Docker Run, enabling them to customize container execution according to specific requirements. Hands-on labs provide participants with practical experience, allowing them to practice Docker Run commands and reinforce their understanding of container deployment and management.

What's included

2 videos1 reading1 assignment

2 videosβ€’Total 34 minutes
  • Docker Runβ€’9 minutes
  • Demo - Advanced Docker Run Featuresβ€’25 minutes
1 readingβ€’Total 10 minutes
  • Hands-on Lab: Docker Run Commandsβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Docker Runβ€’30 minutes

In the "Docker Images" module, participants delve into the core concept of Docker Images and their significance in containerization. Through interactive demonstrations, participants learn to create custom Docker Images tailored to specific application requirements. Hands-on labs provide opportunities to explore Docker Images further, focusing on managing images and utilizing environment variables effectively. Participants also gain insights into the difference between commands and entrypoints, enhancing their understanding of Docker container execution.

What's included

4 videos3 readings1 assignment

4 videosβ€’Total 34 minutes
  • Docker Imagesβ€’8 minutes
  • Demo - Creating a new Docker Imageβ€’18 minutes
  • Environment Variablesβ€’2 minutes
  • Commands vs Entrypointβ€’7 minutes
3 readingsβ€’Total 30 minutes
  • Hands-on Lab: Docker Imagesβ€’10 minutes
  • Hands-on Lab: Environment Variablesβ€’10 minutes
  • Hands-on Lab: Command vs Entrypointβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Docker Imagesβ€’30 minutes

The "Docker Engine and Storage" module provides insights into Docker's core components and storage mechanisms. Participants will gain a deep understanding of Docker Engine's architecture and functionality, enabling them to comprehend its role in containerization. Additionally, participants will delve into Docker Storage concepts, such as volumes, bind mounts, and storage drivers, through theoretical explanations and practical demonstrations. Hands-on labs offer participants opportunities to apply their knowledge and skills in managing Docker storage effectively, ensuring optimal performance and reliability in containerized environments.

What's included

2 videos1 reading1 assignment

2 videosβ€’Total 19 minutes
  • Docker Engineβ€’7 minutes
  • Docker Storageβ€’13 minutes
1 readingβ€’Total 10 minutes
  • Hands-on Lab: Docker Storageβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Docker Engine and Storageβ€’30 minutes

The "Docker Networking and Registry" module focuses on essential networking and registry concepts in Docker environments. Participants will learn about Docker Networking and its importance in enabling communication between containers, including various networking modes and configurations. Through hands-on labs, participants will gain practical experience in setting up and managing Docker Networking, ensuring seamless connectivity within containerized applications. Additionally, participants will explore Docker Registry, a central repository for storing and distributing Docker images. Hands-on labs provide participants with opportunities to interact with Docker Registry, facilitating the storage and retrieval of Docker images in real-world scenarios.

What's included

2 videos2 readings1 assignment

2 videosβ€’Total 10 minutes
  • Docker Networkingβ€’5 minutes
  • Docker Registryβ€’5 minutes
2 readingsβ€’Total 20 minutes
  • Hands-on Lab: Docker Networkingβ€’10 minutes
  • Hands-on Lab: Docker Registryβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Docker Networking and Registryβ€’30 minutes

The "Course Conclusion" module offers a brief recap of key course concepts

What's included

1 video

1 videoβ€’Total 1 minute
  • Conclusionβ€’1 minute

Earn a career certificate

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Instructor

Instructor ratings
4.4 (9 ratings)
KodeKloud
21 Coursesβ€’38,878 learners

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RR
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Reviewed on Feb 8, 2026

helped to learn basic understanding of docker and devops and get some hands-on practice , which truly helped to sum-it up.

SK
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Reviewed on Sep 26, 2025

the lecture is very interesting and kudos to the lecturer. and kode cloud practices really helped

Frequently asked questions

Docker packages applications into containers for simplified software deployment and management. For DevOps, Docker provides consistent environments, faster deployments, and efficient application scaling across cloud platforms.

You will gain practical skills in Docker containerization, managing Docker images, configuring Docker networking, and using Dockerfiles. This course prepares you for integrating Docker into software development and project workflows.

Basic system administration skills are helpful. Linux knowledge is beneficial but not strictly required. The course covers Docker fundamentals, making it accessible for beginners without extensive cloud computing background.

Docker streamlines software development by providing isolated, consistent environments. This reduces deployment issues, speeds testing, and simplifies project collaboration. It also aids in deploying applications to cloud services efficiently.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,