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⇱ Containerization and Kubernetes for DevOps | Coursera


Containerization and Kubernetes for DevOps

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Containerization and Kubernetes for DevOps

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Master containerization using Docker to build and manage containerized applications.

  • Gain hands-on experience in setting up and managing Kubernetes clusters for container orchestration.

  • Learn to scale applications and configure services like ClusterIP, NodePort, and LoadBalancer.

  • Troubleshoot Kubernetes deployments and create YAML configuration files for resource management.

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Recently updated!

April 2026

Assessments

4 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Practical DevOps Bootcamp for All 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 2 modules in this course

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A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This comprehensive course delves into containerization with Docker and orchestration using Kubernetes, providing the essential tools for DevOps success. You'll learn the fundamentals of Docker, from container creation to managing Docker images and containers using CLI. After covering Docker, you'll transition into Kubernetes, exploring how to manage containers at scale, set up clusters, and configure services like ClusterIP, NodePort, and LoadBalancer for efficient communication between pods. Throughout the course, you’ll gain hands-on experience with Docker and Kubernetes, including demonstrations on containerizing Python Flask apps and deploying them on Kubernetes. You'll also learn essential troubleshooting techniques, Kubernetes object management, and YAML configuration. The course is designed to help you master container orchestration and manage scalable applications in a DevOps environment. Ideal for DevOps engineers, system administrators, and developers, this course requires basic knowledge of programming and Docker. You'll explore both cloud and on-premise Kubernetes configurations, preparing you for real-world applications. By the end of the course, you will be able to build Docker containers, manage Kubernetes clusters, deploy scalable applications, and troubleshoot containerized environments efficiently.

In this module, we will introduce Docker and containerization concepts, explaining how they fit into modern DevOps workflows. You'll learn to work with Docker images and containers, and apply your knowledge by containerizing a Python Flask app for deployment.

What's included

23 videos2 readings1 assignment

23 videosβ€’Total 131 minutes
  • Section Introductionβ€’1 minute
  • Introduction to Containerizationβ€’4 minutes
  • Containerization Conceptsβ€’3 minutes
  • Docker at a Glanceβ€’6 minutes
  • Docker Architectureβ€’5 minutes
  • Docker Objectsβ€’2 minutes
  • Overview of Docker Imagesβ€’5 minutes
  • Container Registry and Docker Hubβ€’5 minutes
  • Demonstration - Docker Hubβ€’6 minutes
  • Demonstration - Installing Dockerβ€’3 minutes
  • Managing Images with Docker CLIβ€’2 minutes
  • Demonstration - Managing Images with Docker CLIβ€’13 minutes
  • Overview of Docker Containersβ€’3 minutes
  • Managing Containers with Docker CLIβ€’3 minutes
  • Demonstration - Managing Containers with Docker CLIβ€’15 minutes
  • Getting Started with Dockerfileβ€’4 minutes
  • Demonstration - Creating a Dockerfileβ€’12 minutes
  • Demonstration - Validating Dockerfile and Building Imageβ€’9 minutes
  • Demonstration - Running a Container from Our Imageβ€’2 minutes
  • Demonstration - Publishing Image to a Registryβ€’4 minutes
  • Project Demonstration - Containerize the Python Flask App with Dockerβ€’20 minutes
  • Docker Section Summaryβ€’1 minute
  • Project Demonstration - Updating Docker Progress in GitHub Projectsβ€’2 minutes
2 readingsβ€’Total 20 minutes
  • Introduction to the Course 'Containerization and Kubernetes for DevOps'β€’10 minutes
  • Full Specialization Resourcesβ€’10 minutes
1 assignmentβ€’Total 15 minutes
  • Containerization with Docker - Assessmentβ€’15 minutes

In this module, we will dive into Kubernetes and its role in orchestrating containers at scale. You'll explore its architecture and learn how to deploy, scale, and manage applications in Kubernetes, along with practical demonstrations on using Kubernetes objects like Pods, Deployments, and Services.

What's included

39 videos1 reading3 assignments

39 videosβ€’Total 213 minutes
  • Getting Started with Kubernetesβ€’1 minute
  • Limitations of Containersβ€’3 minutes
  • Container Orchestrationβ€’5 minutes
  • Introduction to k8sβ€’3 minutes
  • Why Kubernetesβ€’3 minutes
  • Setup Options/Offeringsβ€’5 minutes
  • Kubernetes Architectureβ€’7 minutes
  • Overview and Pre-requisites of Setting Up Two-Node Cluster with Kubeadmβ€’7 minutes
  • Demonstration - Two Node Cluster Setupβ€’26 minutes
  • Kubernetes CLI Overviewβ€’5 minutes
  • Introduction to Kubernetes Objectsβ€’3 minutes
  • Getting Started with Namespacesβ€’2 minutes
  • Demonstration - Namespaces Operationsβ€’4 minutes
  • Getting Started with Podsβ€’3 minutes
  • Demonstration - Pods Operationsβ€’8 minutes
  • Introduction to ReplicaSetsβ€’3 minutes
  • Demonstration - ReplicaSet Operationsβ€’7 minutes
  • Getting Started with Deploymentsβ€’2 minutes
  • Demonstration - Deployment Operationsβ€’6 minutes
  • Introduction to Labels and Selectorsβ€’2 minutes
  • Demonstration - Labels and Selectorsβ€’3 minutes
  • Demonstration - Inbuilt Labelsβ€’2 minutes
  • Demonstration - Useful Kubectl Tipsβ€’3 minutes
  • Introduction to Service Objectsβ€’4 minutes
  • ClusterIPβ€’1 minute
  • Demonstration - ClusterIPβ€’7 minutes
  • NodePortβ€’2 minutes
  • Demonstration - NodePortβ€’6 minutes
  • LoadBalancerβ€’2 minutes
  • Demonstration - LoadBalancerβ€’6 minutes
  • Demonstration - Troubleshooting Deployment and Serviceβ€’6 minutes
  • Kubernetes API Ecosystem and Developing Object Definition Filesβ€’10 minutes
  • Demonstration - Deployment and Service Object Fileβ€’15 minutes
  • Demonstration - Smart Way of Creating YAMLβ€’8 minutes
  • Demonstration - kubectl Explainβ€’9 minutes
  • Project Demonstration - Deploy the Python App on Kubernetesβ€’10 minutes
  • Project Demonstration - Scale the Applicationβ€’6 minutes
  • Kubernetes Wrap-Upβ€’2 minutes
  • Demonstration - Updating Kubernetes Progress in GitHub Projectsβ€’2 minutes
1 readingβ€’Total 10 minutes
  • Conclusion to the Course 'Containerization and Kubernetes for DevOps'β€’10 minutes
3 assignmentsβ€’Total 90 minutes
  • Full Course Practice Assessmentβ€’15 minutes
  • Kubernetes for Orchestration - Assessmentβ€’15 minutes
  • Full Course Assessmentβ€’60 minutes

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Instructor

Packt
1,926 Coursesβ€’560,010 learners

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Frequently asked questions

Containerization is a technology that allows you to package an application and its dependencies into a standardized unit called a container. This makes it easy to deploy and run applications consistently across different environments. Containerization is relevant because it helps streamline development and operations by providing lightweight, portable, and scalable solutions, especially in modern DevOps practices.

The course Containerization and Kubernetes for DevOps covers key concepts of containerization using Docker and container orchestration with Kubernetes. You will learn how to build, manage, and deploy applications using containers, and how Kubernetes can help scale and automate containerized applications in production environments. The course also includes practical demonstrations, including deploying a Python Flask app to both Docker and Kubernetes.

After completing this course, you will be able to containerize applications using Docker, manage containers effectively, and deploy them to cloud environments. You will also be proficient in using Kubernetes for container orchestration, including deploying and scaling applications, managing services, and troubleshooting common issues within a Kubernetes cluster.

This course is suitable for individuals with basic knowledge of software development, particularly those with an interest in DevOps practices. Familiarity with programming and cloud environments would be beneficial but is not required. The course covers both the fundamentals of Docker and Kubernetes, so no prior experience with these technologies is necessary.

This course is for developers, system administrators, and IT professionals who want to expand their skills in containerization and container orchestration. It is particularly beneficial for those looking to implement DevOps practices and automate deployment pipelines using Docker and Kubernetes.

The course takes approximately 8 hours to complete. This includes instructional videos, demonstrations, and hands-on projects that help you apply what you’ve learned about Docker and Kubernetes in real-world scenarios.

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

This course is currently available only to learners who have paid or received financial aid, when available.

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,