Free Online Kubernetes Courses & MOOCs

EdX

AWS

Containerized Applications on AWS (edX)

CS: Information & Technology Computer Science

Dive into the world of containerized applications on AWS with this comprehensive course. Learn how to modernize your applications by harnessing the power of container technologies such as Docker and orchestrate them using Kubernetes, all within Amazon Web Services' robust infrastructure. This course is designed for developers, sysadmins, and IT professionals looking to enhance their application management skills in a cloud-first world.

Self Paced

Self-Paced

Docker Kubernetes Container Orchestration

Guided Project: Get Started with Red Hat OpenShift (edX)

EdX

IBM

Guided Project: Get Started with Red Hat OpenShift (edX)

Computer Science

Embark on a quick yet insightful journey into container orchestration with our 'Guided Project: Get Started with Red Hat OpenShift' course. In under an hour, you'll learn the ropes of managing applications and services using OpenShift’s intuitive web console. Whether you're new to development or looking to enhance your Kubernetes skills, this project-based learning experience is tailored for you.

Self Paced

Self-Paced

Red Hat Kubernetes Openshift

Getting Started with Google Kubernetes Engine (edX)

EdX

Google Cloud

Getting Started with Google Kubernetes Engine (edX)

Computer Science

Dive into the world of container orchestration with 'Getting Started with Google Kubernetes Engine' – a comprehensive course designed for those new to Kubernetes and GCP. Whether you're an application developer, cloud architect, or IT manager, this course will equip you with the skills needed to deploy, manage, and scale containerized applications efficiently on Google Cloud Platform's robust Kubernetes service. Discover how to harness the power of GKE to create scalable, resilient, and secure environments for your applications.

Self Paced

Self-Paced

Kubernetes Google Kubernetes Engine Google Cloud

EdX

Linux Foundation,LinuxFoundationX

Introduction to Cilium (edX)

Computer Science

Dive into the world of modern network management with our Introduction to Cilium course on edX. Gain hands-on experience with installing Cilium in Kubernetes environments, mastering its observability features through Hubble, enhancing network security, and managing multi-cluster setups—all while harnessing the power of eBPF for unparalleled scalability and performance.

Self Paced

Self-Paced

Networking Kubernetes Cilium

Cloud Virtualization, Containers and APIs (edX)

EdX

AI (Pragmatic AI Labs)

Cloud Virtualization, Containers and APIs (edX)

Computer Science

Dive into the world of cloud computing with our expert-led course on Cloud Virtualization, Containers, and APIs. Gain a deep understanding of virtual machines, containerization techniques, microservices architecture, and how to implement them effectively within your operations. This course is designed for IT professionals looking to enhance their skills in managing complex cloud environments using DevOps best practices.

Self Paced

Self-Paced

Cloud Computing DevOps Virtual Machine

Virtualization, Docker, and Kubernetes for Data Engineering (edX)

EdX

AI (Pragmatic AI Labs)

Virtualization, Docker, and Kubernetes for Data Engineering (edX)

Computer Science

Dive into this comprehensive course that covers essential topics in modern data engineering: Virtualization, Docker, and Kubernetes. Whether you're new to the field or seeking to refine your expertise, this course offers hands-on experience with cloud environments, container orchestration, and best practices for deploying robust data engineering solutions.

Self Paced

Self-Paced

Docker Kubernetes Virtualization

EdX

AI (Pragmatic AI Labs)

DevOps, DataOps, MLOps (edX)

Computer Science

Unlock the full potential of your machine learning projects by mastering DevOps, DataOps, and MLOps. This course will guide you through end-to-end operations, ensuring seamless integration from data collection to model deployment. Enhance your skills in automating processes, managing data pipelines, and deploying ML models efficiently.

Self Paced

Self-Paced

Machine Learning DevOps Docker