Training Course

Note course content is in Japanese. This course will give you a strong operating knowledge of Kubernetes, including how to deploy a containerized application and manipulating resources via the API.

Who Is It For

This course is ideal for those wishing to manage a containerized application infrastructure. This includes existing IT administrators, as well as those looking to start a cloud career.

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What You’ll Learn

This course will teach you how to use the container management platform used by companies like Google to manage their application infrastructure. You will learn how to install and configure a production-grade Kubernetes cluster, from network configuration to upgrades to making deployments available via services. The course also distills key principles, such as pods, deployments, replicasets, and services, and will give you enough information so that you can start using Kubernetes on your own.

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What It Prepares You For

The course, along with real-world experience and study, will provide the skills and knowledge also tested by the Kubernetes Certified Administrator (CKA) exam.

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Course Outline

Chapter 1. Course Introduction

Chapter 2. Basics of Kubernetes

Chapter 3. Installation and Configuration

Chapter 4. Kubernetes Architecture

Chapter 5. APIs and Access

Chapter 6. OPI Objects

Chapter 7. Managing State with Deployments

Chapter 8. Services

Chapter 9. Volumes and Data

Chapter 10. Ingress

Chapter 11. Scheduling

Chapter 12. Logging and Troubleshooting

Chapter 13. Custom Resource Definitions

Chapter 14. Helm

Chapter 15. Security

Chapter 16. High Availability

Gain your certification after this course with our CKA Exam

Bundle this course and the exam to save $100

Prerequisites

Before starting this course, you should be familiar with:

Linux concepts and command line – We recommend Introduction to Linux, a free edX course
Package managers
Git and GitHub
We recommend Introduction to Kubernetes, a free edX course, as a good start for your Kubernetes journey

Lab Info

For hands-on lab exercises, access to a Linux server or Linux desktop/laptop is required. Access to a public cloud provider, or VirtualBox on your machine is also needed. Lab exercises in this course have been tested in a GCP environment.

If using a cloud provider like GCP or AWS, you should be able to complete the lab exercises using the free tier or credits provided to you. However, you may incur charges if you exceed the credits initially allocated by the cloud provider.