Google Kubernetes Engine (GKE) Courses and Certifications

Continuous Delivery with Jenkins in Kubernetes Engine

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will deploy and completely configure a continuous delivery pipeline using Jenkins running on Kubernetes Engine and go through the dev - deploy process.

• Coursera
• 1 hour 15 minutes
• On-Demand
• Paid Course

Managing Deployments Using Kubernetes Engine

Master Dev Ops best practices with Google Cloud's self-paced lab on managing and scaling containers using Kubernetes Engine.

• Coursera
• 1 hour
• On-Demand
• Paid Course

Orchestrating the Cloud with Kubernetes

Master Kubernetes and Docker container management with Google Cloud's self-paced lab, learning to provision clusters and break applications into microservices.

• Coursera
• 1 hour 15 minutes
• On-Demand
• Paid Course

Setting up Jenkins on Kubernetes Engine

This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab will show you how to set up Jenkins on Google Kubernetes Engine to help orchestrate your software delivery pipeline.

• Coursera
• 1 hour
• On-Demand
• Paid Course

Getting Started with Google Kubernetes Engine

Learn to interact with Google Kubernetes Engine (GKE) in this 2-week Google Cloud course. Build containers, deploy Kubernetes clusters, manage workloads, and understand Kubernetes architecture.

• edX
• 2 weeks, 5-6 hours a week
• On-Demand
• Free Online Course (Audit)

Deploy Kubernetes Load Balancer Service with Terraform

This is a self-paced lab that takes place in the Google Cloud console. In Terraform, a Provider is the logical abstraction of an upstream API. This lab will show you how to setup a Kubernetes cluster and deploy Load Balancer type Nginx service on it.

• Coursera
• 35 minutes
• On-Demand
• Paid Course

Google Kubernetes Engine Pipeline using Cloud Build

Master CI/CD pipelines with Google Cloud's self-paced lab. Learn to build container images, store them, update Kubernetes manifests, and deploy applications.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

App Dev: Deploying the Application into Kubernetes Engine - Python

Learn to deploy a Python app into Kubernetes Engine using Google Cloud resources in this self-paced lab by Google Cloud. Takes less than an hour.

• Coursera
• 50 minutes
• On-Demand
• Paid Course

Distributed Load Testing Using Kubernetes

This is a self-paced lab that takes place in the Google Cloud console. Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.

• Coursera
• 1 hour
• On-Demand
• Paid Course

Cloud Operations for GKE

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will set up Monitoring and visualizing metrics from a Kubernetes Engine cluster

• Coursera
• 45 minutes
• On-Demand
• Paid Course

Hello Node Kubernetes

Learn to create and scale a Node.js app using Kubernetes on Google Cloud in this self-paced, 1-hour lab.

• Coursera
• 1 hour
• On-Demand
• Paid Course

Kubernetes Engine: Qwik Start

15 ratings at Coursera

Learn to deploy containerized applications using Google Kubernetes Engine in this self-paced, less than 1-hour lab by Google Cloud.

• Coursera
• 30 minutes
• On-Demand
• Paid Course

Running a MongoDB Database in Kubernetes with StatefulSets

Master MongoDB database management on Kubernetes Engine using Docker with this self-paced lab by Google Cloud.

• Coursera
• 45 minutes
• On-Demand
• Paid Course

Running a Node.js Container on Google Kubernetes Engine

Learn to run and scale applications using Docker on Google Container Engine in this self-paced lab by Google Cloud. Less than 1 hour workload.

• Coursera
• 40 minutes
• On-Demand
• Paid Course

Installing Anthos Service Mesh on Google Kubernetes Engine

In this lab you will install the Anthos Service Mesh, and use it with the Bookinfo microservices application, all on a GKE cluster.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course