Containerization and Kubernetes for DevOps
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Containerization and Kubernetes for DevOps
This course is part of Practical DevOps Bootcamp for All Specialization
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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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April 2026
4 assignments
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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, youβll 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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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.
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