The course introduction explains the course goals and previews each section.

Welcome and getting started guide

Course introduction

Course Introduction

The first section of this course introduces cloud computing concepts. Learners explore fundamental terminology, the Google Cloud network, how Google Cloud resources are organized in an hierarchy for management, and the tools available to connect to Google Cloud for allocating, changing, and releasing resources.

Introduction

Cloud computing and Google Cloud

Google Cloud compute offerings

The Google network

Resource management

Billing

Interacting with Google Cloud

Lab Introduction: Accessing the Cloud console and Cloud Shell

Accessing the Google Cloud Console and Cloud Shell

Quiz Question 1

Quiz Question 2

Quiz Question 3

Quiz Question 4

Introduction to Google Cloud

The second section of this course examines software containers and the benefit they bring to application deployment. Learners explore containers and container images, Cloud Build, Kubernetes, and Google Kubernetes Engine.

Containers

Container images

Lab introduction: Working with Cloud Build

Working with Cloud Build

Kubernetes

Google Kubernetes Engine

Introduction to Containers and Kubernetes

The third section of this course explores the components of a Kubernetes cluster and how they work together. Learners deploy a Kubernetes cluster by using Google Kubernetes Engine, deploy Pods to a GKE cluster, and view and manage different Kubernetes objects.

Kubernetes concepts

Kubernetes components

GKE Autopilot and GKE standard

Object management

Lab introduction: Deploying GKE Autopilot Clusters

Deploying GKE Autopilot Clusters

Kubernetes Architecture

The final section of this course introduces the kubectl command, which is the command line utility used to interact with and manage the resources inside Kubernetes clusters. Learners are introduced to the concept of introspection, then get practice deploying Google Kubernetes Engine clusters from Cloud Shell.

The kubectl command

Introspection

Lab introduction: Deploying GKE Autopilot Clusters from Cloud Shell

Deploying GKE Autopilot Clusters from Cloud Shell

Kubernetes Operations

The course summary recaps the major concepts learners were introduced to during the course.

Course summary

Course Summary

Course Resources

Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud. 

The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, as it’s commonly referred to, and how to get applications containerized and running in Google Cloud. The course starts with a basic introduction to Google Cloud, and is then followed by an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.

Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud.

The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, as it’s commonly referred to, and how to get applications containerized and running in Google Cloud. The course starts with a basic introduction to Google Cloud, and is then followed by an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.

The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, and how to get applications containerized and running in Google Cloud. 

Getting Started with Google Kubernetes Engine

Google Associate Cloud Engineer

Instructor

Let's practice!

Introduction to Google Cloud - Lab Introduction: Accessing the Cloud console and Cloud Shell

Lab Introduction: Accessing the Cloud console and Cloud Shell

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