Are you looking for the Best Kubernetes Courses on Coursera? If yes, then this article is for you. In this article, I will share the 7 Best Kubernetes Courses on Coursera.
So, give a few minutes to this article and find out the Best Kubernetes Courses on Coursera for you.
Now, without further ado, let’s get started-
Best Kubernetes Courses on Coursera
- 1. Architecting with Google Kubernetes Engine Specialization
- 2. Cloud-Native Development with OpenShift and Kubernetes Specialization
- 3. Introduction to Containers w/ Docker, Kubernetes & OpenShift
- 4. Getting Started with Google Kubernetes Engine
- 5. Fundamentals of Kubernetes Deployment
- 6. Exam Prep CKA: Certified Kubernetes Administrator
- 7. Virtualization, Docker, and Kubernetes for Data Engineering
- Summary of Best Kubernetes Courses on Coursera
- Conclusion
- FAQ
1. Architecting with Google Kubernetes Engine Specialization
Rating- 4.7/5
Time to Complete- 3-6 Months
Best for– Beginners
Provider- Google Cloud
In this program, you’ll learn how to use it for different tasks. You’ll discover how to build, schedule, and keep an eye on your work on GKE. You’ll also cover things like finding services, controlling who can access what, making things secure, and making sure your data stays put.
But here’s the cool part: you won’t just watch videos. You’ll actually get to try out what you learn using Qwiklabs. It’s like a practice playground. The projects in Qwiklabs will let you use Google Cloud tools in real situations. This way, you’ll get hands-on experience and really understand how to use what you’ve learned in the lessons.
By the end of the course, you’ll be all set to make smart solutions using GKE in real-life situations.
Who Should Enroll?
- Those who have previous experience in working at the Linux command line, and working with networks and Web servers.
Interested in Enroll?
If yes, then check out the details here- Architecting with Google Kubernetes Engine Specialization
2. Cloud-Native Development with OpenShift and Kubernetes Specialization
Rating- 4.7/5
Time to Complete- 1 Month
Best For- Intermediate Learners
Provider- RedHat
This special course is for people like you who work with apps, computer systems, or design stuff. It helps you understand what container technology is all about. In these three classes, you’ll hear about basic ideas, like different ways to use boxed-up apps. You will also check out what makes Kubernetes and Red Hat OpenShift different. And you’ll finish up by learning how to make apps bigger when you need to.
Now, when it comes to doing things, these classes are hands-on. You’ll get step-by-step guides to show you how it’s done. Starting from the basics of boxed-up apps, you’ll move on to putting them in Kubernetes and OpenShift. By the end, you’ll know how to create, launch, make bigger, and fix issues with these apps in real situations.
Once you finish this special course, you’ll be good to go in handling apps in boxes on Kubernetes and OpenShift in the real world.
Who Should Enroll?
- Those who have previous basic knowledge of the command prompt of a Windows, Linux, or MacOS system; web applications; and local and remote applications.
Interested in Enroll?
If yes, then check out the details here- Cloud-Native Development with OpenShift and Kubernetes Specialization
3. Introduction to Containers w/ Docker, Kubernetes & OpenShift
Rating- 4.4/5
Time to Complete- 13 hours
Best For- Intermediate Learners
Provider- IBM
In this course, you’ll pick up important skills to boost your software expertise. You’ll dive into containers and get to know tools like Docker, Kubernetes, Red Hat, OpenShift, and Istio.
These tools help your apps work smoothly in any cloud. Throughout the course, you’ll learn the basics, like how to use Docker and key things in Kubernetes.
You’ll also do hands-on labs every week to practice what you learn. By the end, you’ll confidently put your apps in the cloud using OpenShift.
Who Should Enroll?
- Those who have a basic understanding of cloud and programming concepts.
Interested in Enroll?
If yes, then check out the details here- Introduction to Containers w/ Docker, Kubernetes & OpenShift
4. Getting Started with Google Kubernetes Engine
Rating- 4.5/5
Time to Complete- 6 hours
Best for Intermediate Learners
Provider– Google Cloud
In this course, you’ll learn about Google Kubernetes Engine (GKE), a tool that makes using Kubernetes easy on Google Cloud. If you’re curious about Kubernetes, which helps your apps work well with your computer stuff, you’re in the right place!
Start by understanding simple things about Google Cloud. Then, explore containers and Kubernetes to see how you can put your apps in containers and run them smoothly in Google Cloud. This course is all about making GKE easy for you, covering everything from the basics to how Kubernetes really works.
Who Should Enroll?
- Those who have previous experience in working at the Linux command line, and working with networks and Web servers.
Interested in Enroll?
If yes, then check out the details here- Getting Started with Google Kubernetes Engine
5. Fundamentals of Kubernetes Deployment
Rating- 4.3/5
Time to Complete- 8 hours
Best For– Intermediate Learners
Provider- LearnQuest
In this course, you’ll explore Kubernetes in-depth.
Over the next few weeks, you’ll learn about several features of Kubernetes, understand the Kubernetes Architecture, and discover how to create clusters with different installation configurations. You’ll also dive into deployments, figuring out how to scale them, update them, and roll back changes. Next, you will learn clusters, pods, and nodes, and take a closer look at Persistent Volumes, as well as Kubernetes Authorization and Authentication.
Lastly, you’ll see how it all comes together in a Kubernetes demo, so you can witness everything in action.
Who Should Enroll?
- Those who have a general idea of what Kubernetes is and what it does.
Interested in Enroll?
If yes, then check out the details here- Fundamentals of Kubernetes Deployment
6. Exam Prep CKA: Certified Kubernetes Administrator
Rating- 4.3/5
Time to Complete- 18 hours
Best For-Intermediate
Provider- Whizlabs
You will learn about Kubernetes (K8s), a cool tool for handling apps—making setups, scaling, and management easy. The training course is here to boost your skills, covering everything from basics like Pods and Nodes to more advanced concepts.
Designed for Cloud and DevOps pros, especially cloud administrators and Kubernetes managers, you’ll get over 7 hours of training. The course includes video lessons, readings, and quizzes split into 6 easy-to-follow modules. Plus, there are assessments to check if you’ve got the hang of automating and managing containerized apps.
Who Should Enroll?
- Those who have hands-on knowledge of Docker and Kubernetes (K8s).
Interested in Enroll?
If yes, then check out the details here- Exam Prep CKA: Certified Kubernetes Administrator
7. Virtualization, Docker, and Kubernetes for Data Engineering
Rating- 4.3/5
Time to Complete- 26 hours
Best For- Advanced
Provider- Duke University
You will learn a lot in this course! You will delve into virtualization, containerization, and Kubernetes—these are like the powerhouse tools for data engineering. Each week, you will encounter new tools and platforms crucial for data engineering. You won’t just stick to the basics; you will master Docker and Kubernetes, and even explore fancy stuff like AI-driven coding with GitHub Copilot.
But wait, there’s more! You will get into efficient container image management with Azure and Amazon Elastic Container Registries. And guess what? You will touch on Site Reliability Engineering (SRE) practices too.
This course is designed for both current students and working professionals. If you want to level up your skills and tackle the dynamic world of advanced data engineering, this is the place to be.
Who Should Enroll?
- Those who have some experience in working with Python, Git for version control, Docker for containerization, and Kubernetes for deployment and scaling.
Interested in Enroll?
If yes, then check out the details here- Virtualization, Docker, and Kubernetes for Data Engineering
And here the list ends. I hope these resources will help you to learn and master Kubernetes. I would suggest you bookmark this article for future referrals.
Now it’s time to wrap up.
Summary of Best Kubernetes Courses on Coursera
| Course Title | Description |
|---|---|
| 1. Architecting with Google Kubernetes Engine Specialization | Learn how to do cool stuff with Google Kubernetes Engine (GKE). You’ll build, balance, and keep an eye on apps. Plus, discover access control and storage tricks. Try it out in hands-on labs. |
| 2. Cloud-Native Development with OpenShift and Kubernetes Specialization | Get into containers, especially OpenShift and Kubernetes. Understand how to make apps grow and learn advanced stuff. Great for cloud and DevOps folks. |
| 3. Introduction to Containers w/ Docker, Kubernetes & OpenShift | Start with the basics of containers using Docker, Kubernetes, and Red Hat OpenShift. Learn to put apps in clouds. Good for beginners. |
| 4. Getting Started with Google Kubernetes Engine | Get the basics of Google Kubernetes Engine (GKE). Learn to make and put your apps in clouds using GKE. Perfect for hands-on experience. |
| 5. Fundamentals of Kubernetes Deployment | Get into the basics of Kubernetes: Pods, Nodes, and more. Tailored for cloud and DevOps folks managing Kubernetes stuff. |
| 6. Exam Prep CKA: Certified Kubernetes Administrator | Prep for the Certified Kubernetes Administrator (CKA) exam. Video lessons, readings, quizzes, and tests to make sure you know your stuff. |
| 7. Virtualization, Docker, and Kubernetes for Data Engineering | Explore tools for data engineering like Docker, Kubernetes, and more. Learn cool things like AI coding and efficient app management. Great for expanding skills in data engineering. |
Conclusion
In this article, I tried to cover all the Best Kubernetes Courses on Coursera. If you have any doubts or questions, feel free to ask me in the comment section.
All the Best!
Enjoy Learning!
FAQ
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Written By Aqsa Zafar
Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.