Training Course

Kubernetes for Developers (LFD259)

Kubernetes is a high-velocity open source orchestration tool to deploy, scale, and update containerized applications. This course will teach you how to containerize, host, deploy, and configure an application in a multi-node cluster.

Who Is It For

This course is ideal for developers who are looking to gain skills in Kubernetes application development. Students should be familiar with the Linux command line, programming languages like Python, Node.js or Go, and have a basic understanding of cloud native application concepts and architectures.
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What You’ll Learn

This course will teach you how to containerize, host, deploy, and configure an application in a multi-node cluster. Starting with a simple Python script, you will define application resources and use core primitives to build, monitor and troubleshoot scalable applications in Kubernetes. Working with network plugins, security and cloud storage, you will be exposed to many of the features needed to deploy an application in a production environment.
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What It Prepares You For

The topics covered are directly aligned with the knowledge domains tested by the Cloud Native Computing Foundation Certified Kubernetes Application Developer (CKAD) Program, and will substantially increase students’ ability to become certified.
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Course Outline
Chapter 1. Course Introduction
Chapter 2. Kubernetes Architecture
Chapter 3. Build
Chapter 4. Design
Chapter 5. Deployment Configuration
Chapter 6. Understanding Security
Chapter 7. Exposing Applications
Chapter 8. Application Troubleshooting

Gain your certification after this course with our CKAD Exam

Bundle this course and the exam to save $100

Prerequisites
Before starting this course, you should be familiar with:

Lab Info
To successfully complete the lab exercises in this course, 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. Detailed instructions to set up your lab environment are provided in the course.

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, or if the cloud provider’s terms and conditions change.

Learning Path
Reviews
Dec 2022
The things I liked most about the course was that is was self-paced, and the topics were explained thoroughly, in an easy-to-understand way.
Dec 2022
I liked the balance between the theory and the practical parts.
Nov 2022
I liked the exercises and domain reviews for the most part. I also liked the little mentions of projects common in the industry, like calico, prometheus, grafana, jaeger, etc.
Oct 2022
Learning the interactions of applications through load balancers and the various network sidecars was interesting.
Oct 2022
I liked the "big picture" overview, with links to external tools, to enhance k8s experience.
Sep 2022
It pushes to go beyond CKAD requirements.