Kubernetes Fundamentals
Learn how to access a Kubernetes cluster, understand pods, work with running workloads, scale applications with deployments, and expose services. This course introduces the core Kubernetes concepts needed to operate stateless applications on a cluster instead of a single server.
Why It Matters
Kubernetes has become a standard platform for running containerized applications, but it brings a different operating model from traditional Linux services. Operators need to understand cluster access, workload objects, scaling behavior, and service exposure before they can troubleshoot or deploy applications effectively in a cloud-native environment.
What You Will Learn
- Access a Kubernetes cluster and use the command line tools that interact with it.
- Understand pods as the basic execution unit for containerized workloads.
- Inspect and interact with running workloads on the cluster.
- Scale and update stateless applications with deployments.
- Expose workloads through Kubernetes services.
- Apply these skills in a stateless application deployment challenge.
Course Roadmap
The course begins with cluster access so you can connect to Kubernetes and verify that your tooling and context are correct. It then introduces pods, the basic building block for running containers inside the cluster.
Next, the course focuses on interacting with pods so you can inspect and work with active workloads. After that, you move to deployments for scaling and controlled rollout behavior, followed by services that expose applications inside or outside the cluster.
The course ends with the Stateless App Deployment challenge, where cluster access, workload inspection, scaling, and service exposure all matter in one practical Kubernetes workflow.
Who This Course Is For
This course is for DevOps learners and platform beginners who need a practical introduction to Kubernetes before moving into deeper cluster administration topics.
Outcomes
By the end of this course, you will be able to access a Kubernetes cluster, understand and inspect basic workload objects, scale stateless applications with deployments, and expose services using standard Kubernetes patterns.
