In this module, we will establish a foundational understanding of Kubernetes and its significance in modern DevOps workflows. You’ll explore why Kubernetes is widely adopted, what its architecture looks like, and how its control and data planes function. Finally, you’ll get hands-on with kubectl, the command-line tool essential for Kubernetes management.

In this module, we will walk through installing Kubernetes tooling like kubectl and Minikube on various operating systems. You'll get platform-specific guidance for MacOS, Linux, and WSL to ensure a smooth setup experience. By the end, your local Kubernetes environment will be ready for deploying and managing clusters.

In this module, we will explore the process of running containers within Kubernetes using Pods—the smallest deployable units. You'll learn about the Pod lifecycle, perform real-world labs using kubectl, and deploy the initial version of the Color API. This hands-on section bridges container images with Kubernetes workloads.

In this module, we will dive deep into Kubernetes object management with YAML manifests. You'll understand the structure of manifest files, practice creating resources using both command-line and declarative methods, and address limitations of imperative configurations. By the end, you'll be managing Kubernetes objects more effectively and at scale.

In this module, we will focus on how Kubernetes maintains high availability and enables updates through ReplicaSets and Deployments. You'll perform labs to create, manage, and scale Deployments, explore rollout mechanics, and handle version changes in your applications. This section strengthens your workload automation skills.

In this module, we will take a detailed look at Kubernetes Services and how they enable communication within and outside the cluster. You'll configure various service types, deploy test applications to simulate traffic, and link services to external endpoints. This section ensures your applications are both discoverable and scalable.