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IBM

Introduction to Containers w/ Docker, Kubernetes & OpenShift

Take the next step in your software engineering career by getting skilled in container tools and technologies! The average salary for jobs that require container skills is $137,000 in the US according to salary.com, making Devops professionals and developers with these skills highly in demand. More than 70 percent of Fortune 100 companies are running containerized applications. But why? Using containerization, organizations can move applications quickly and seamlessly among desktop, on-premises, and cloud platforms. In this beginner course on containers, learn how to build cloud native applications using current containerization tools and technologies such as Docker, container registries, Kubernetes, Red Hat, OpenShift, and Istio. Also learn how to deploy and scale your applications in any public, private, or hybrid cloud. By taking this course you will familiarize yourself with: - Docker objects, Dockerfile commands, container image naming, Docker networking, storage, and plugins - Kubernetes command line interface (CLI), or “kubectl” to manipulate objects, manage workloads in a Kubernetes cluster, and apply basic kubectl commands - ReplicaSets, autoscaling, rolling updates, ConfigMaps, Secrets, and service bindings - The similarities and differences between OpenShift and Kubernetes Each week, you will apply what you learn in hands-on, browser-based labs. By the end of the course, you’ll be able to build a container image, then deploy and scale your container. The skills taught in this course are essential to anyone in the fields of software development, back-end & full-stack development, cloud architects, cloud system engineers, devops practitioners, site reliability engineers (SRE), cloud networking specialists and many other roles.

Status: OpenShift
Status: Containerization
IntermediateCourse18 hours

Featured reviews

NJ

5.0Reviewed Oct 26, 2022

A​ good introduction to Docker, Kubernetes and OpenShift. I really enjoyed the hand-on labs. They're an efficient way to understand how abstract concepts can be applied.

EC

4.0Reviewed Apr 27, 2022

Very good intro to Containers, good content. I didn't give 5 stars because there are some bugs that make you lose time during the lab sessions, especially the last - and longest - one.

RM

4.0Reviewed Jun 22, 2021

Very good introduction to the basic concepts of Containerization and Kubernetes. Good examples to get a starting feel on how to work with such tools

TR

4.0Reviewed Dec 17, 2023

Overall course is good, but it becomes better if the lecture explanations are done by a real person. AI voice makes it boring to watch and hard to understand.

FM

5.0Reviewed Nov 7, 2023

Very happy to attend and complete this course. Where it's possible to see the effort and dedication behind it. Highly recommended

LA

5.0Reviewed Oct 19, 2021

I audited this course, but it was pretty much what I hoped for. Nice hands on exercises that are the core of a good training course for me.

DK

5.0Reviewed Sep 11, 2022

G​ood intro to docker containers, kubernetes and openshift. Most topics are high level, Docker alone is given about a week's worth of material.

MA

5.0Reviewed Mar 18, 2025

An excellent course from IBM on Containers (especially for Docker and Kubernetes). The Labs provided by IBM are very helpful and help to gain skills very efficiently. I highly recommend this course.

FB

5.0Reviewed Oct 6, 2024

The course content is very good. There was one exercise in OpenShift that I could not do in the Lab Environment. Luckily I had access to another environment where I could do it.

MJ

4.0Reviewed Sep 24, 2022

Very good content, really well exlpained, step by step, making it easy for noobs to start using these technologies from scratch. I can't give 5 stars due to Labs stability, specially OpenShift.

RB

5.0Reviewed Dec 25, 2021

The course was really helpful and cleared the concept and idea behind using containers. The hands-on lab exercise helped me in understanding the code in a better way.

JR

4.0Reviewed Dec 16, 2021

I learned a lot, with a great lab environment for practice. Even though on the final project OpenShift lab it had some delay issues.

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