11 Best Kubernetes Courses & Classes Online To Take In 2023
Discover the top 11 online Kubernetes courses and classes designed to elevate your expertise in container orchestration, microservices management, and cloud computing, with our comprehensive list based on ratings, reviews, and learner feedback.
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Are you looking for the best Kubernetes courses to level up your skills in container orchestration, microservices management, and cloud computing? Look no further, as we have researched a whopping 404 popular Kubernetes courses from various providers, with over 6,189,544 enrolled students who have provided 671,372 ratings and reviews. We meticulously evaluated and handpicked the top courses based on a combination of factors, including ratings, reviews, enrollments, learner feedback, content quality, comprehensive curriculum, release dates, and affordability. In addition, we also incorporated our own experiences and expertise to finalize the list.
These online Kubernetes courses cater to different proficiency levels, ensuring a complete learning experience for all enthusiasts eager to dive into Kubernetes' functionalities. The selected courses cover essential aspects like Docker integration, Red Hat OpenShift, and cloud services offered by AWS and Google Cloud. Get ready to embark on a transformative learning journey and equip yourself with the expertise required to excel in the modern DevOps and container orchestration landscape!
Embark on a journey to understand the powerful Kubernetes system, which is widely used for managing containerized applications, including container orchestration. If your team is starting to use Kubernetes and you need guidance on its implementation, this course will provide you with the necessary knowledge to transform your organization using Kubernetes and cloud-native patterns. You will learn how to simplify software container orchestration and enhance your utilization of Kubernetes without adding extra complexity to your infrastructure.
Throughout the course, essential concepts, architecture, and the problem-solving model of the Kubernetes system will be explored to help you comprehend containerized deployments and scaling better. This course will provide you with technical instructions on deploying stand-alone and multi-tier applications, and you will gain insights into ConfigMaps, Secrets, and how to use Ingress. By the end of the course, you will have a firm understanding of Kubernetes' origin, architecture, and building blocks to start your cloud-native journey and put your newfound knowledge into practice.
Best for:
This course is ideal for those looking to acquire knowledge about Kubernetes and its functionalities, helping learners deploy microservices and manage containerized applications effectively. It provides a comprehensive understanding of container orchestration, cloud-native patterns, and Kubernetes architecture for both beginners and experienced DevOps professionals.
This comprehensive course offers a deep dive into Docker and Kubernetes, providing you with the practical knowledge and essential hands-on experience to build, test, and deploy containers effectively. You will learn from a Docker Captain and DevOps consultant, ensuring that the content is up-to-date and relevant to both beginners and experienced professionals. Throughout the course, you will cover a wide range of topics, from container creation and management to Swarm, Kubernetes, Compose, and more.
Above and beyond learning about Docker and Kubernetes, this course will also explore real-world problems related to containerization, such as secrets management, logging, and rolling upgrades. As part of the learning process, you will have access to versatile resources, including Slack and Discord servers where you can connect with fellow students and the instructor for any assistance or further learning. The course content will continually be updated to keep up with changes and advancements related to Docker and Kubernetes, ensuring that you gain the most pertinent skills as you work towards mastery in this vital area of software development and infrastructure management.
User review:
Great course overall, thank you Bret! But I would redesign k8s part a bit:
1. Reshoot some of the videos to adjust them with current behavior of kubectl run command
2. Add more practice in k8s part. For example, deploy some microservice app that become bigger and more complex from lesson to lesson, using new features of k8s. Unlike Docker and Swarm parts, I don't really feel that I'm ready to use k8s in my day to day work. I've just got some overview but definitely need further learning to really start using it.
3. Move all devops con videos out of the course and add it as additional resources. Many of them are either outdated today or interesting to very narrow part of students [1]... Read More
Kirill Lutcenko
Best for:
This course is ideal for those looking to acquire comprehensive knowledge on Docker and Kubernetes, providing practical skills to build, test, and deploy containers effectively. It also covers real-world problems related to containerization, including secrets management, logging, and rolling upgrades.
If you're tired of spinning your wheels learning how to deploy web applications, this is the course for you. The Docker and Kubernetes course will provide you with the necessary skills to build, test, and deploy Docker applications with Kubernetes, while also learning production-style development workflows. From the inner workings of containers to the implementation of continuous integration and continuous deployment pipelines using Github, Travis CI, and Amazon Web Services, this comprehensive guide will help you master the latest technology in today's DevOps world.
The course covers various essential topics, such as Docker from scratch, CI+CD workflows, multi-container deployments on AWS, and Kubernetes in production. You'll start by learning the fundamentals of Docker and container technology and proceed to build your custom images for your applications. Furthermore, you'll acquire the know-how to manage complex applications with many running containers using Kubernetes, while also learning how to set up HTTPS on Kubernetes. By the end of this course, you'll have a thorough understanding of deploying any web application using Docker and Kubernetes, allowing you to excel in the IT industry.
User review:
Spectacular course on devops with Docker, including AWS and NGinx configuration, with detailed explanations. If you take the time to follow the course you won´t regret it. The CI/CD part with Docker has videos using Travis CI, which is no longer free, and is a little outdated regarding deployment to AWS, but supplies full written material about how to use Github Actions, with source code and configuration files that are fully up to date and, more importantly, work like a charm if you pay attention. I think the videos with Travis CI should be replaced with Github Actions. Also I think the chapter about multi container deployment deservers an upgrade to run E2E tests with multiple containers, and show how to configure github to allow the pull request merge only if the tests pass. Also, could show how to use AWS secrets to store db passwords and use them in the environment variables. This comments aside, great course. Buy it with eyes closed. I loved it. Didn´t touch the Kubernetes part yet, so can´t comment on that. [2]... Read More
Fernando Rezende'
Best for:
This course is ideal for acquiring in-depth knowledge on how to build, test and deploy Docker applications with Kubernetes, while mastering production-style development workflows, container technology, and complex application management using Kubernetes.
Kubernetes is an open-source system for automating containerized application deployment, scaling, and management. Originally designed by Google and now maintained by the Cloud Native Computing Foundation, Kubernetes is at the cutting edge of application deployment. This course is designed for absolute Kubernetes beginners, providing a simple and engaging way to learn through hands-on coding exercises. With zero prior knowledge, students who complete the course will be ready to deploy their own applications on a Kubernetes platform.
Throughout the course, students will progress through ten step-by-step lectures, each designed to give ample time to grasp the core concepts. Most importantly, hands-on coding exercises accompany each major concept, ensuring thorough mastery of the material. Combined with real-world assignments that challenge students to solve problems using their new Kubernetes skills, this course provides a comprehensive learning experience that fosters confidence and competence in applying Kubernetes knowledge in practical situations, setting them up for a successful DevOps career.
User review:
The information is good, though the presentation could use some work. There is a distinct speed difference when the person is talking and when they are typing, it is as there were jump cuts. It would be nice if there was a little more care in pausing for a second between moving between two screens, e.g. if a person is following along just to start getting iterations it would be helpful if they did not have to back up the video and try and hit the pause button really quick while trying to compare what they are doing to what the instructor is doing. Also there is a lot of fluff words used in the presentation, so much so I think I watched most if not all of it on 1.5 speed just so I could pay attention. I thought the jumps were an effect of watching the video in 1.5 speed at the start, but even when I slowed it down I found it difficult to see the end result for comparison. But that may just be a quirk of how I learn. Especially when there is syntax involved. [3]... Read More
Douglas Anderson
Best for:
This course is ideal for those who want to acquire knowledge about Kubernetes and its functionalities, along with understanding the role of Kubernetes in DevOps projects, container orchestration, and integration with Docker. Additionally, it provides a comprehensive understanding of Google Kubernetes Engine and best practices for architecting with it.
Throughout the course, you will explore various strategies and tips for efficiently using kubernetes and managing your cluster instances in Google Kubernetes Engine. To ensure a thorough understanding, you will be exposed to the key concepts and methods of implementing, updating, and maintaining Kubernetes applications. Fundamental topics like deploying services, configuring networking between Pods, and exposing deployments via Ingress will be covered as well.
Upon completion, you will have gained a strong foundation in Google Kubernetes Engine that you can apply to real-world scenarios. You will be equipped with the required knowledge to use Kubernetes as a powerful tool for managing your containerized applications, ensuring scalability, reliability, and flexibility. This course is designed for those looking to gain a comprehensive understanding of GKE and will leave you prepared to tackle more advanced concepts and applications in the ever-evolving world of container orchestration.
User review:
Fast-paced and worth it! This is a fantastic introduction to Kubernetes focusing on the basic terminology and deployment/administration of docker containers to a cluster. It introduces labels, containers, pods, services, namespaces, and several different types of deployment along with a whole lot of different CLI calls to understand what is going on in the cluster.
I'm a developer with a very strong systems background and this course was easy to finish in a couple of days. The videos are good but not sufficient -- the real high quality content is in the course labs, which are DEFINITELY worth the purchase price. [4]... Read More
Lucas B
Best for:
This course excels at providing a comprehensive understanding of Google Kubernetes Engine, including deployment of microservices, container orchestration, and best practices for architecting with GKE.
This comprehensive course provides a hands-on approach to learning how to create DevOps CI/CD pipelines using Git, Jenkins, Ansible, Docker, and Kubernetes on AWS. Throughout the course, you will become familiar with different DevOps tools and their applications in real-world scenarios, as well as understand the logical workflow of a DevOps project. With the guidance of AR Shankar, a seasoned instructor with over 10 years of experience in the DevOps domain, you will acquire the necessary skills and knowledge to confidently set up your own CI/CD pipeline.
Designed for those who want to enhance their expertise in the DevOps field and learn to build CI/CD pipelines using various tools, this course offers a step-by-step demonstration of how to integrate Github, Jenkins, Maven, Docker, Ansible, and Kubernetes into a cohesive, functional project. By gaining hands-on experience in using these powerful tools in tandem, you will be well-equipped to tackle real-world challenges and contribute effectively to DevOps projects in your professional career.
User review:
content need some updates.
example to create a docker image out of centOS by using a dockerfile. Docker file wasn't working as it was giving error when it was trying to download centOS
"error: failed to download metadata for repo "appstream: cannot prepare internal mirrorlist: no URLs in mirrorlist"
centOS moved their repos to different repos and mirrorlist. And you have to add to commands to point to yum.repos.d. I'm experienced enough to find the work around but for beginners they might be stuck at this point.
Also, video 53 integrate kubernetes bootstrap server with Ansible.
not sure why we've ended up using root while we created ansadmin account to do so. That required later on to copy the ssh key of the root user from ansible server to kubernetes bootstrap server to be to run the playbook. it was confusing to me and we didn't use the ansadmin account at the end. [5]... Read More
Mohamed Ali Mahmoud
Best for:
This course is the best for those who want to enhance their expertise in the DevOps field, learn to build CI/CD pipelines using various tools, and gain hands-on experience in using Github, Jenkins, Maven, Docker, Ansible, and Kubernetes.
This comprehensive course provides a solid foundation in microservices, demonstrating how to break down monolithic applications into more agile and nimble components that can be deployed in a container-centric Kubernetes environment. The course begins by highlighting the myriad benefits of microservices and how these can be seamlessly integrated and implemented within a container-based architecture paradigm. By using an existing monolithic application as an example, the instructor, Karthik Gaekwad, delves into its functionality, adds Kubernetes constructs, and expertly guides students through the process of deploying new services into a Kubernetes environment with Minikube.
In addition to teaching students about Kubernetes and microservices, the course also introduces essential tools such as Helm and Jaeger, which work hand in hand with Kubernetes to build even more resilient and robust microservices. Through this expertly designed course, learners will develop a strong understanding of how to build scalable and reliable microservices using Kubernetes, gaining valuable insights and practical knowledge that can be applied directly to real-world situations. By the end of the course, students will have gained a well-rounded understanding of the power of Kubernetes and microservices, equipping them with the skills to develop, deploy, and manage containerized applications in a modern, dynamic, and efficient manner.
Best for:
This course is ideal for learners seeking expertise in breaking down monolithic applications into agile, containerized components, deploying and managing these services using Kubernetes environment with tools like Minikube, Helm, and Jaeger.
Participants in this comprehensive course will gain a solid understanding of the Google Cloud platform, as well as the key concepts and tools related to containerization and Kubernetes. With a strong focus on architectural best practices, attendees will learn how to design, deploy, and manage applications using Google Kubernetes Engine to optimize scalability, security, and efficiency. Through hands-on exercises and practical use cases, participants will be able to apply their newfound knowledge, preparing them to confidently architect and manage containerized workloads on the Google Cloud using Kubernetes.
User review:
Thanks for the great learning and skill enchancement platform. I am a Cloud Devops Consultant Currently working with Amazon Web Services. I got some time to learn GCP with Kubernetes. I have learned a lot from Coursera and Google Cloud regarding the Advanced Emering Tech Stacks.
Hands-On lab was very useful and easy to use. Some where I got some blockers, as soon as I contacted support team, The immediate response to solve the issue is unbelivabe.
From here I have equiped my knowledge in various fundamentas of Google Developer Console. As a OpenSource Enthusisat I believe Working with Different technologies will enhance your career growth. [6]... Read More
LOKESHKUMAR R
Best for:
This course is the best for gaining a solid understanding of the Google Cloud platform, as well as key concepts and tools related to containerization and Kubernetes, enabling you to confidently architect and manage containerized workloads on the Google Cloud using Kubernetes.
Kubernetes is one of the hottest topics right now, and engineers with Kubernetes skills are in big demand. Get those skills with this course! This course offers a great opportunity to work on a real Kubernetes project, and to elevate your skills to a high professional standard on real projects. Throughout the course, you'll be working on realistic requirements - but you don't need to be a coder or know any particular programming language. A set of Docker images will be provided for you, and your job is to use Kubernetes to get these images running.
The system you will be working on is a Microservice-based architecture. Along the way, you will explore design decisions and trade-offs you need to make when managing these complex systems. While the course isn't about designing Microservices, the development work is done, and your task will be to get the system running on a production cluster. You will also analyze the run time performance of the cluster to troubleshoot any mistakes in the code. Furthermore, you'll use a real AWS account and set up monitoring with ELK/Elastic Stack and monitor with Prometheus and Grafana. This course is designed for a wide audience, requiring only some basic knowledge of working with computers, and possibly a bit of command-line experience.
User review:
Well done! Everything is clear to me, and the course is very good because each steps are explained individually, including potential fall traps, varieties and highlights.
After completing the course, I have feeling that I can memorize all most important kubectl commands, basically because he explained each steps (again and again). He also taught how to "fishing by myself", like how to look up for e.g. Kubernetes API reference and documentation. This gives me a good fundamental understanding and prepares myself for the future.
The hands-on course is also very authentic and complete, including some usual human mistakes (e.g. typos, forgotten syntax words) and how to fix it properly. This is much, much better than cutting the video multiple times and mimicking an "error-free" course.
I also raised few questions in Q&A section and the instructor answered it properly and in very short time. IMHO, the course is clearly above the expectation! [7]... Read More
Christoph Pitschmann
Best for:
This course is excellent for those looking to acquire hands-on experience in deploying microservices to the AWS Cloud using Kubernetes, as well as gaining insights into monitoring and analyzing cluster run time performance.
Embark on a comprehensive journey through the world of Kubernetes with our specialized course on AWS EKS Kubernetes-Masterclass | DevOps, Microservices. This masterclass covers a wide range of topics, such as Docker fundamentals, Kubernetes concepts, AWS services, storage solutions, load balancing techniques, DevOps integration, and microservices deployment. By enrolling in this course, students will gain the necessary skills and knowledge to effectively manage and deploy Kubernetes applications on the AWS EKS platform.
This expertly designed course not only delves deep into various Kubernetes concepts but also provides practical implementations using the well-known AWS services. The curriculum is structured to equip learners with hands-on experience, effectively combining theoretical knowledge with real-world applications. Throughout the course, students will have the opportunity to build and deploy real cloud-based solutions using the powerful tools and services provided by AWS and Kubernetes, contributing to a strong foundation for a successful career in the ever-evolving world of cloud computing and DevOps.
User review:
This course is very good because it gives big picture on how should we use EKS to hosting our applications without going too deep which will exhaust learner in the first phase. You will have good basic knowledge of EKS components and after completed this course you can go deeply if you want. Some feedback for Kalyan :
- Upgrade some manifest which use beta version to the official version
- Provide blue-green deployment case
- Add canary and blue-green deployment case into CI/CD section (codepipeline + codebuild)
- Add HPA manifest file to HPA section (currently just use imperative)
- Update outdated command in load test section (cannot run in new EKS version)
- If possible, add terraform case in to EKS too [8]... Read More
Aris Darmawan
Best for:
This course excels at providing students with the skills and knowledge required to effectively manage and deploy Kubernetes applications on the AWS EKS platform. It combines theoretical knowledge with real-world applications, equipping learners with hands-on experience in Docker fundamentals, Kubernetes concepts, AWS services, storage solutions, load balancing techniques, DevOps integration, and microservices deployment.
This comprehensive course delves into the fundamentals of containers, Kubernetes, and Red Hat OpenShift, offering valuable insights and techniques for creating, deploying, and managing containerized applications. Participants will gain hands-on experience in utilizing Docker for containerization, leveraging the power of Kubernetes for container orchestration, and deploying applications on Red Hat OpenShift Container Platform. The course emphasizes the importance of container technology in modern software architectures and helps attendees understand its role in enabling a cloud-native environment.
By mastering these concepts, participants will be better equipped to navigate the rapidly evolving world of container deployment technologies and contribute to their organizations' adoption of DevOps principles and practices. This course caters to a wide range of professionals, including developers looking to enhance their skills in containerization, administrators seeking knowledge in container orchestration, and architects evaluating the potential of integrating container technologies into their software solutions. Embrace the world of containers, Kubernetes, and Red Hat OpenShift to drive a more efficient, scalable, and resilient approach to software development and deployment.
Best for:
This course is ideal for professionals aiming to acquire knowledge and skills in container orchestration using Kubernetes, as well as understanding the fundamentals of containers and Red Hat OpenShift. It emphasizes the importance of container technology in modern software architectures and enables participants to navigate the rapidly evolving world of container deployment technologies.
In order to choose the best Kubernetes course, it's important to first consider what the learner seeks to accomplish. Gaining knowledge about Kubernetes and its functionalities is a fundamental starting point, but more advanced objectives may include deployment of microservices, understanding Kubernetes' role in DevOps projects, and honing expertise in container orchestration. Additionally, the course should offer a comprehensive understanding of numerous platforms and tools such as Google Kubernetes Engine, managing and scaling applications, and the integration of Docker.
Acquire knowledge about Kubernetes and its functionalities.
Learn how to deploy microservices using Kubernetes.
Understand the role of Kubernetes in DevOps projects.
Gain expertise in container orchestration with Kubernetes.
Obtain a comprehensive understanding of Google Kubernetes Engine.
Develop skills in managing and scaling applications with Kubernetes.
Explore the integration of Docker with Kubernetes.
Find the best practices for architecting with Google Kubernetes Engine.
Learn how to deploy microservices on AWS Cloud using Kubernetes.
Understand the fundamentals of containers, Kubernetes, and Red Hat OpenShift.
By keeping these objectives in mind and evaluating the various course offerings and reviews mentioned in this article, learners can make an informed decision on the best Kubernetes course to meet their individual needs and goals.
Conclusion
In conclusion, Kubernetes has emerged as an essential tool for managing containerized applications and microservices at scale. By acquiring knowledge and mastering this powerful technology, professionals and enthusiasts alike can stay competitive and enhance their skills in the world of DevOps, container orchestration, and cloud computing. The list of courses presented in this article caters to various proficiency levels, providing a comprehensive learning pathway for all those eager to embrace Kubernetes and its functionalities.
Embarking on these highly recommended courses will empower individuals to manage and deploy microservices using Kubernetes, develop expertise in key areas like container orchestration, and integrate essential platforms like Docker, Red Hat OpenShift, and cloud services offered by AWS and Google Cloud. As a result, learners will experience first-hand how Kubernetes plays a vital role in creating a seamless, secure, and highly efficient environment for organizations of all sizes. So waste no time and enhance your knowledge with the finest Kubernetes courses available today!
How much does a Kubernetes course cost?
The cost of a Kubernetes course can vary depending on the platform and the specific course. Prices can range from free without a certificate, up to $149 with a certificate. Some platforms also offer subscription plans, such as Coursera with a $33.25/m annual or $59/m monthly option, and LinkedIn Learning with a $19.99/m annual or $39.99/m monthly option after a 1-month free trial.
How long do Kubernetes courses take?
The duration of Kubernetes courses can also vary. Course lengths can range from as short as 1 hour and 28 minutes, to as long as 56 hours. It's important to consider the course content and your own learning pace when choosing a course.
Are there hands-on Kubernetes courses for beginners?
Yes, there are hands-on Kubernetes courses designed specifically for beginners. These courses often include practical exercises, examples, and projects to help you learn and apply the concepts in a real-world context. One example is the 'Kubernetes for the Absolute Beginners - Hands-on' course on Udemy.
