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Kubernetes Training

Master Kubernetes with hands-on experience in networking, scheduling, persistent storage, security, and troubleshooting. Gain industry-relevant skills and become proficient in managing containerized workloads efficiently
3 Enrolled
8 hour

Course Overview

This course provides an in-depth understanding of Kubernetes, focusing on core concepts, networking, services, scheduling, persistent storage, security, and troubleshooting. Designed for IT professionals, this training will help you gain expertise in managing Kubernetes clusters, deploying applications, and securing containerized environments. By the end of the course, you will be proficient in handling real-world Kubernetes deployments and troubleshooting issues effectively.

What you’ll learn

→ Core concepts and networking in Kubernetes

→Cluster architecture and master node components

→ Kubernetes services, controllers, and scheduling

→ Persistent storage management with PVs and PVCs

→ Security best practices and authentication methods

→ Debugging and troubleshooting Kubernetes clusters

Requirements

  • Basic knowledge of Linux and command-line tools
  • Familiarity with containerization (Docker, OCI-compliant containers)
  • Understanding of cloud computing and networking fundamentals
  • Prior experience with YAML configuration files is beneficial

Features

  • Hands-on lab exercises for practical learning
  • Real-world case studies and best practices
  • Access to Kubernetes sandbox environments
  • Step-by-step guidance on configuring networking and security
  • Troubleshooting scenarios and debugging exercises
  • Certification of completion

Target audiences

  • DevOps engineers and system administrators
  • IT professionals managing containerized applications
  • Cloud architects and software developers
  • Security engineers handling Kubernetes environments

Basic knowledge of containers (such as Docker) is recommended, but this course will guide you through Kubernetes concepts from the fundamentals to advanced topics.

Yes! The course includes practical exercises, labs, and troubleshooting scenarios to apply the concepts learned.

Yes, you will receive a certificate of completion, which can be used to demonstrate your Kubernetes expertise.

You will need a system with Linux/macOS (or Windows with WSL), a Kubernetes cluster (Minikube, Kind, or a cloud-based service like EKS/GKE/AKS), and a code editor such as VS Code.

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