Best Courses to Learn Kubernetes
Tags: kubernetes, docker, codenewbie, tutorial
Published: 2020-06-25 08:44:24

Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications.

![images/flower.svg](https://d33wubrfki0l68.cloudfront.net/69e55f968a6f44613384615c6a78b881bfe28bd6/42cd3/_common-resources/images/flower.svg)

It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community.

Docker and Kubernetes are the newest tech in the Dev Ops world, and have dramatically changed the flow of creating and deploying web apps. Docker is a technology that allows applications to run in constructs called 'containers', while Kubernetes allows for many different 'containers' to run in coordination.

We have curated a list of **Best Kubernetes Couses** that you can take up in order to get acquainted with the technology.

## 1.  [Docker and Kubernetes: The Complete Guide](https://click.linksynergy.com/deeplink?id=0F1O0otUXQc&mid=39197&u1=devtoTop&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fdocker-and-kubernetes-the-complete-guide%2F)

Build, test, and deploy Docker applications with Kubernetes while learning production-style development workflows

**_Course rating: 4.6 out of 5.0 ( 27,722 Ratings total)_**

In this course, you will :

-   Learn Docker from scratch, no previous experience required.
-   Master the Docker CLI to inspect and debug running containers.
-   Build a CI + CD pipeline from scratch with Github, Travis CI, and AWS.
-   Understand the purpose and theory of Kubernetes by building a complex app.
-   Automatically deploy your code when it is pushed to Github!
-   Learn Docker from scratch,  **no previous experience required**    
-   Build your own  **custom images** tailored to your applications    
-   Master the Docker CLI to  **inspect and debug**  running containers    
-   Understand  **how Docker works**  behind the scenes, and what a container is    
-   Build a **CI + CD pipeline**  from scratch with Github, Travis CI, and AWS    
-   **Automatically deploy**  your code when it is pushed to Github!    
-   Build a  **complex multi-container application**  from scratch and deploy it to AWS    
-   Understand the purpose and  **theory of Kubernetes**    
-   Deploy a **production-ready Kubernetes**  Cluster to Google Cloud

You can take Docker and Kubernetes: The Complete Guide Certificate Course on  Udemy  .

## 2.  [Getting Started with Google Kubernetes Engine](https://pluralsight.pxf.io/c/1137078/424552/7490?u=https%3A%2F%2Fwww.pluralsight.com%2Fcourses%2Fgetting-started-google-kubernetes-engine)

You'll learn to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic.

**_Course rating: 3.0 out of 5.0 ( 15 Ratings total)_**

In this course, you will :

- Learn to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. 
- Students also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.

You can take Getting Started with Google Kubernetes Engine Certificate Course on  Pluralsight  .

## 3.  [Learn DevOps: The Complete Kubernetes Course](https://click.linksynergy.com/deeplink?id=0F1O0otUXQc&mid=39197&u1=devtoTop&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Flearn-devops-the-complete-kubernetes-course%2F)

Kubernetes will run and manage your containerized applications. Learn how to build, deploy, use, and maintain Kubernetes

**_Course rating: 4.4 out of 5.0 ( 10,600 Ratings total)_**

In this course, you will :

-   Install and configure Kubernetes (on your laptop/desktop or production grade cluster on AWS).
-   Use Docker Client (with kubernetes), kubeadm, kops, or minikube to setup your cluster.
-   Be able to run stateless and stateful applications on Kubernetes.
-   Use Healthchecks, Secrets, ConfigMaps, placement strategies using Node/Pod affinity / anti-affinity.
-   Use StatefulSets to deploy a Cassandra cluster on Kubernetes.
-   Add users, set quotas/limits, do node maintenance, setup monitoring.
-   Use Volumes to provide persistence to your containers.
-   Be able to scale your apps using metrics.
-   Package applications with Helm and write your own Helm charts for your applications.
-   Automatically build and deploy your own Helm Charts using Jenkins.
-   Install and use kubeless to run functions (Serverless) on Kubernetes.
-   Install and use Istio to deploy a service mesh on Kubernetes.
-   Continuously Develop using Skaffold.

This course will help you to gain understanding how to deploy, use, and maintain your applications on Kubernetes. If you are into DevOps, this is a technology you need to master. Kubernetes has gained a lot of popularity lately and it is a well sought skill by companies.

You can take Learn DevOps: The Complete Kubernetes Course Certificate Course on  Udemy  .

## 4.  [Kubernetes Installation and Configuration Fundamentals](https://pluralsight.pxf.io/c/1137078/424552/7490?u=https%3A%2F%2Fwww.pluralsight.com%2Fcourses%2Fkubernetes-installation-configuration-fundamentals)

Let’s get you started learning Kubernetes. First, you'll learn about its architecture, and then how to install your first cluster. With that cluster up and running you'll explore how to work with it and deploy applications in Kubernetes!

**_Course rating: 5.0 out of 5.0 ( 197 Ratings total)_**

In this course, you will :

- Get you started learning how to install, configure and work with a Kubernetes cluster. 
- In this course, Kubernetes Installation and Configuration Fundamentals, you will learn foundational knowledge needed to install, configure and deploy applications in a Kubernetes cluster. 
- First, you will learn about Kubernetes' architecture, looking closely at each of the cluster's components and their roles. 
- Next, you will discover how to install and configure a Kubernetes cluster: you'll look at how to perform installations on-premises with kubeadm, and in cloud scenarios such as Azure Kubernetes Services and Google Kubernetes Engine. 
- Finally, you will explore how to interact with your cluster, deploying Pods, Services, and Deployments. When you’re finished with this course, you will have the skills and knowledge of Kubernetes needed to administer a Kubernetes cluster and deploy applications in Kubernetes. Software required: Linux.

You can take Kubernetes Installation and Configuration Fundamentals Certificate Course on  Pluralsight  .

## 5.  [Docker Mastery: The Complete Toolset From a Docker Captain](https://click.linksynergy.com/deeplink?id=0F1O0otUXQc&mid=39197&u1=devtoTop&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fdocker-mastery%2F)

Build, test, deploy containers with the best mega-course on Docker, Kubernetes, Compose, Swarm and Registry using DevOps

**_Course rating: 4.6 out of 5.0 ( 37,339 Ratings total)_**

In this course, you will :

-   How to use Docker, Compose and Kubernetes on your machine for better software building and testing..
-   Learn Docker and Kubernetes official tools from an award-winning Docker Captain!.
-   Learn faster with included live chat group (21,000 members!) and weekly live Q&A..
-   Gain the skills to build development environments with your code running in containers..
-   Build Swam and Kubernetes clusters for server deployments!.
-   Hand's-on with best practices for making Dockerfiles and Compose files like a Pro!.
-   Build and publish your own custom images..
-   Create your own custom image registry to store your apps and deploy in corporate environments..
-   Edit web code on your machine while it's served up in a container    
-   Lock down your apps in private networks that only expose necessary ports    
-   Create a 3-node Swarm cluster in the cloud    
-   Install Kubernetes and and learn the leading server cluster tools    
-   Use Virtual IP's for built-in load balancing in your cluster    
-   Optimize your Dockerfiles for faster building and tiny deploys    
-   Build/Publish your own custom application images    
-   Learn the differences between Kubernetes and Swarm, Create your own image registry, and Use Swarm Secrets to encrypt your environment configs, even on disk    
-   Deploy container updates in a rolling always-up design    
-   Create the config utopia of a single set of YAML files for local dev, CI testing, and prod cluster deploys
   
You can take Docker Mastery: The Complete Toolset From a Docker Captain Certificate Course on  Udemy  .


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Glad to see, that you have made it till the end. If this article added some value to your learning or if you liked it then like, upvote and share it in your network. In case you want to explore more, you can take the  [Free Kubernetes Courses](https://coursesity.com/free-tutorials-learn/kubernetes)  
In case you liked this article, you can also visit the following posts of mine;

-   _[Best Docker Courses for Productive Quarantine!](https://dev.to/coursesity/best-docker-courses-for-productive-quarantine-385n)_
-   _[Git & Github: Introduction to Version Control](https://dev.to/coursesity/git-an-intro-to-version-control-p06)_

Also, I would love to hear any feedback and review from you. Please tell me what you liked in the comment section below. Happy Learning!✨

**_Disclosure: This post includes affiliate links; the client may receive compensation if you purchase products or services from the different links provided in this article._**