EdX

Getting Started with Google Kubernetes Engine (edX)

Offered by Google Cloud,
Getting Started with Google Kubernetes Engine (edX)

This class is intended for the following participants: - Application developers, Cloud Solutions Architects, DevOps Engineers, IT managers. - Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud. - Executives and business decision makers evaluating the potential of GKE to address business needs.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

In this course, each module aims to build on your ability to interact with GKE, and includes hands-on labs for you to experience functionalities first-hand. In the first module, you'll be introduced to a range of Google Cloud services and features, with a view to helping you choose the right Google Cloud services to create your own cloud solution. You'll learn about creating a container using Cloud Build, and store a container in Container Registry. You'll also compare and contrast the features of Kubernetes and Google Kubernetes Engine, also referred to as GKE. In addition to conceptualizing the Kubernetes architecture, you'll deploy a Kubernetes cluster using GKE, deploy Pods to a GKE cluster, and view and manage Kubernetes objects.
This course is part of the following programs:

What you'll learn

  • Discuss the differences among Google Cloud compute platforms
  • Discuss the components and architecture of Kubernetes
  • Store container images in Container Registry
  • Explain how pod networking works in Google Kubernetes Engine.
  • Create and manage Google Kubernetes Engine clusters using the Google Cloud console and gcloud/kubectl commands.

Prerequisites:
No prerequisite courses. To get the most out of this course, learners should have basic proficiency with command-line tools and Linux operating system environments, as well as Web server technologies such as Nginx. We also recommend systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment.

Syllabus

  1. Course Introduction

In this module you will learn how to interact with this course.

  1. Introduction to Google Cloud

This module helps you start off with the right framework of concepts. After a review of fundamentals cloud computing, you will learn about how Google Cloud's resources around the world are organized into regions and zones. You'll also learn how you can organize the resources you use in Google Cloud, so that you can manage them. Finally, you'll meet the tools that let you connect to Google Cloud and allocate, change, and release resources.

  1. Introduction to Containers and Kubernetes

In this module you will learn about software containers and their benefits are for application deployment. You'll configure and build containers. You'll also learn about the functions container that management solutions like Kubernetes provide. You'll encounter the advantages of Google Kubernetes Engine compared to building your own container-management infrastructure.

  1. Kubernetes Architecture

In this module you’ll learn the components of a Kubernetes cluster and how they work together. You'll deploy a Kubernetes cluster using Google Kubernetes Engine and deploy Pods to a GKE cluster. You'll also view and manage several very useful kinds of Kubernetes objects.

  1. Introduction to Kubernetes Workloads

In this module you’ll learn the components that are used to manage Kubernetes workloads. You'll learn about the kubectl command and creating Kubernetes workloads called deployments. You'll examine networking services within Kubernetes and the different types of Kubernetes storage abstractions.

  1. Course Resources

PDF links to all modules

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Logging, Monitoring and Observability in Google Cloud (edX) EdX
Google Cloud

Logging, Monitoring and Observability in Google Cloud (edX)

This class is intended for the following participants: - Cloud architects -Administrators -SysOps personnel Cloud developers -DevOps personnel. Learn how to monitor, troubleshoot, and improve your infrastructure and application performance. Guided by the principles of Site Reliability Engineering (SRE), this course features a combination of lectures, demos, hands-on labs, and real-world case studies. In this course, you'll gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, and profiling CPU and memory usage.

Self Paced
Self-Paced
Understanding Your Google Cloud Costs en Español (Coursera) Coursera
Google Cloud

Understanding Your Google Cloud Costs en Español (Coursera)

Understanding Your Google Cloud Platform (GCP) Costs es más apropiado para quienes desempeñan cargos relacionados con la tecnología o las finanzas, y son responsables de administrar los costos de GCP. Aprenderá a configurar una cuenta de facturación, organizar recursos y administrar permisos de acceso a la facturación.

Sep 14th 2026
3 Weeks
Optimizing Your Google Cloud Costs en Español (Coursera) Coursera
Google Cloud

Optimizing Your Google Cloud Costs en Español (Coursera)

Optimizing Your Google Cloud Platform (GCP) Costs es el segundo curso de una serie de dos partes sobre los conceptos básicos de la administración de costos y facturación de GCP. Este curso está destinado principalmente a personas que se desempeñan en funciones relacionadas con finanzas o TI, y que están a cargo de optimizar la infraestructura de nube de sus organizaciones.

Sep 14th 2026
3 Weeks
Authoritative GCP (edX) EdX
AI (Pragmatic AI Labs)

Authoritative GCP (edX)

Master Google Cloud Architecture and prepare for the Professional Cloud Architect certification exam through hands-on labs and expert instruction. This comprehensive course, designed for cloud architects and developers, covers the essential skills needed to design, plan, and manage robust enterprise solutions on Google Cloud Platform (GCP).

Self Paced
Self-Paced