Kubernetes: Build, Configure & Troubleshoot Clusters

Overview

By the end of this Kubernetes Training, learners will be able to identify Kubernetes components, explain cluster architecture, configure clusters on AWS, set up environments with Kubeadm, and apply troubleshooting techniques using Minikube. This course is designed to move beyond theory, providing hands-on demonstrations that empower learners to create, manage, and scale containerized applications in both cloud and local environments. Learners will benefit from completing this course by gaining practical, job-ready skills essential for DevOps engineers, cloud administrators, and software developers seeking to excel in container orchestration. Through step-by-step guidance, participants will confidently build clusters, join worker nodes, troubleshoot failures, and test deployments in real-world scenarios. What makes this course unique is its modular structure that bridges fundamentals with advanced practices, combining AWS-based cluster management with local experimentation via Minikube. Each lesson is designed with clear learning objectives rooted in Bloom’s Taxonomy, ensuring learners not only understand Kubernetes but can also demonstrate, configure, and evaluate it effectively in professional contexts.

Syllabus

Getting Started with Kubernetes

This module introduces learners to the fundamentals of Kubernetes, covering its core components, architecture, and major concepts. It builds a strong foundation by exploring the basics of container orchestration and gradually transitions into understanding cluster creation and management on AWS. Learners will gain a practical introduction that sets the stage for advanced Kubernetes training.

Building and Managing Kubernetes Clusters

This module equips learners with hands-on skills to configure, manage, and troubleshoot Kubernetes clusters in both cloud and local environments. Starting with AWS cluster management, it progresses into Kubeadm-based setup, troubleshooting practices, and the use of Minikube for local deployments. Learners will master cluster configuration, worker node management, and practical troubleshooting to strengthen real-world Kubernetes expertise.