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GCP Essentials

この常に人気が高いクエストでは、Google Cloud を初めて実践的に体験します。より高度な Stackdriver と Kubernetes のコンセプトに取り組むことで、VM の起動や主要なインフラストラクチャ ツールの設定などの基本を身に着けることができます。

En 英語(English) Es スペイン語(Spanish) Fr フランス語 Ja 日本語 Pt br ポルトガル語(Portuguese) De ドイツ語(German) Ko 韓国語(Korean)
quest

Baseline: Infrastructure

This Quest of all-Introductory-level Self-Paced Labs is intended for the complete beginner in Google Cloud. In this eleven-lab sequence, you will get your first-touch experiences with the Google Cloud services that provide basic infrastructure building blocks that make up core components of any production cloud environments.

quest

Baseline: Data, ML, AI

This Quest of all-Introductory-level Self-Paced Labs is intended for the complete beginner in Google Cloud. In these short hands-on labs, you will get your first-touch experiences with a subset of the Google Cloud services that provide tools for working with big (and small!) data and machine learning / artificial intelligence services in Google Cloud.

quest

Baseline: Deploy & Develop

This Quest of all-Introductory-level Self-Paced Labs is intended for the complete beginner in Google Cloud. In these short hands-on labs, you will get your first-touch experiences with a subset of the Google Cloud services that provide tools for creating and deploying applications: App Engine, the SDK, Source Tools, data stores for your application data, and useful tools for security and privacy, all provided by Google Cloud.

quest

Cloud Architecture

This Quest is intended to provide hands-on practice for those preparing for the <A HREF="https://cloud.google.com/certification/cloud-architect">Google Cloud Certified Professional Cloud Architect Certification</A>. Students will get hands-on exposure to a wide range of Google Cloud Services and techniques which are closely mapped to the topic areas in the certification test. Be aware that while practice with these labs will increase your knowledge and abilities in these topic areas, you will need other preparation to succeed in the question and answer test itself (such as work experience).

quest

Data Engineering

This Quest is intended to provide hands-on practice for those preparing for the <A HREF="https://cloud.google.com/certification/data-engineer">Google Cloud Certified Professional Data Engineer Certification</A>. Students will get hands-on exposure to a wide range of Google Cloud Services and techniques which are closely mapped to the topic areas in the certification test. Be aware that while practice with these labs will increase your knowledge and abilities in these topic areas, you will need other preparation to succeed in the question and answer test itself (such as work experience).

hands-on lab

Advanced Design Patterns using Amazon DynamoDB

DynamoDB Workshop CloudFormation Template: Create an Amazon EC2 instance running the Amazon Linux with the applications required for running the DynamoDB workshop.

hands-on lab

VPC Network Peering

Google Cloud Platform (GCP) Virtual Private Cloud (VPC) Network Peering allows private connectivity across two VPC networks regardless of whether or not they belong to the same project or the same organization.

hands-on lab

Build a Serverless Text-to-Speech Application with Amazon Polly

This lab builds a complete serverless application that demonstrates how to convert text-to-speech using Amazon Polly.

hands-on lab

Improving Network Performance I

In this lab, you'll work on practical elements of performance testing, with an eye to improving network bandwidth in your environment by using different core sizes and internal vs. external networks.

hands-on lab

Network Performance Testing

In this lab, you'll learn important connectivity, performance, testing, and troubleshooting techniques in the Google Cloud Networking insfrastructure environment.

hands-on lab

Improving Network Performance II

In this lab, you'll work on further practical elements of performance testing, toward improving network server performance by using load balancing and content caching.

hands-on lab

Scanning User-generated Content Using the Cloud Video Intelligence and Cloud Vision APIs

This lab will show you how to deploy a set of Cloud Functions in order to process images and videos with the Cloud Vision API and Cloud Video Intelligence API.

hands-on lab

Building High Availability and High Bandwidth NAT Gateways

This lab shows you how to set up multiple NAT gateways with Equal Cost Multi-Path (ECMP) routing and autohealing enabled for a resilient and high-bandwidth deployment.

hands-on lab

Create a Custom Network Using Deployment Manager

This lab creates a complex Deployment Manager (DM) configuration for deploying a custom network resource in Google Cloud Platform. It also explains the basic fundamental block of developing a Deployment Manager.

hands-on lab

Working with Amazon Redshift(日本語版)

このラボでは、クラスターの作成、データのロード、クエリの実行、パフォーマンスのモニタリングなど、Amazon RedShift の使い方をデモンストレーションします。注: このラボの一環で、無料の SQL クライアントをダウンロードします。

En 英語(English) Ja 日本語 Zh 中国語(Chinese)
hands-on lab

Setting up Jenkins on Kubernetes Engine

This hands-on lab will show you how to set up Jenkins on Google Kubernetes Engine to help orchestrate your software delivery pipeline.

hands-on lab

Rent-a-VM to Process Earthquake Data

In this lab you spin up a virtual machine, configure its security, access it remotely, and then carry out the steps of an ingest-transform-and-publish data pipeline manually. This lab is part of a series of labs on processing scientific data.

hands-on lab

Using Ruby on Rails with Cloud SQL for PostgreSQL

In this lab, you'll learn how to deploy a new Ruby on Rails application using Google Cloud SQL for PostgreSQL to Google App Engine Flexible environment.

hands-on lab

Cloud Source Repositories: Qwik Start

In this lab you will create a local Git repository that contains files for a sample App Engine application, add a GCP repository as a remote, and push the contents of the local repository.

hands-on lab

Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API

The Cloud Vision API lets you understand the content of an image by encapsulating powerful machine learning models in a simple REST API. In this lab you’ll send an image to the Cloud Vision API and have it identify objects, faces, and landmarks.

hands-on lab

永続ディスクの作成 (アクティビティトラッキング)

このラボでは、永続ディスクを作成して Google Compute Engine の仮想マシンで使用する方法を学びます。また、ゾーン、リージョン、さまざまなディスクタイプについても学びます。

En 英語(English) Es スペイン語(Spanish) Fr フランス語 Ja 日本語 Pt br ポルトガル語(Portuguese) De ドイツ語(German) Ko 韓国語(Korean) Ar عربى
hands-on lab

Cloud Security Scanner: Qwik Start

The Cloud Security Scanner identifies security vulnerabilities in your Google App Engine web applications.

hands-on lab

Internal Load Balancer

Internal Load Balancer offers you the possibility to load balance TCP/UDP traffic without exposing your VMs via a public IP to the Internet. In this lab we will create a public facing web server to serve the result of a simple web application.

hands-on lab

Introduction to Amazon Elastic Block Store (EBS)

This lab takes you through how to create an Amazon Elastic Block Store (EBS) volume, attach it to an Amazon EC2 instance, take a snapshot of the volume, and increase the size and IOPS. For a demonstration, go to: https://www.youtube.com/watch?v=DKftR47Ljvw <br><br> For the lab to function as written, please DO NOT change the auto assigned region.

En 英語(English) Zh 中国語(Chinese) Pt br ポルトガル語(Portuguese) Ja 日本語
hands-on lab

Automating AWS Services with Scripting and the AWS CLI

 This lab demonstrates how to access and manage AWS services in three ways: through the AWS Management Console, the AWS Command Line Interface (CLI), and the AWS Software Development Kit (SDK). You will use one or more of these three options to access Amazon S3, Amazon EBS, Amazon EC2 and Amazon CloudWatch.

En 英語(English) Zh 中国語(Chinese)
hands-on lab

BigQuery: Qwik Start - Command Line

This hands-on lab shows you how to query public tables and load sample data into BigQuery using the Command Line Interface. Watch the short video <A HREF="https://youtu.be/m0rqccviLNM">Get Meaningful Insights with Google BigQuery</A>.

En 英語(English) Fr フランス語
hands-on lab

Blue/Green Deployment Pattern with AWS Elastic Beanstalk

AWS Elastic Beanstalk provides a quick and easy way to deploy your web applications to the AWS cloud without requiring knowledge of the individual pieces that make up the infrastructure. This lab demonstrates the common steps of developing a web application and deploying it to production on AWS, using the EB command line interface. In this lab you will learn how to deploy a simple web application continuously using the Elastic Beanstalk Command Line Interface (EB CLI) in two ways, Rolling Deployment and Blue/Green Deployment. The lab also demonstrates many interesting command line tools to interact with, monitor, scale, and ssh into your running Elastic Beanstalk deployment completely from the command line. Prerequisites: for success with this lab, you should be familiar with systems administration of Linux servers, have comfort with Unix/Linux text editors, and should have at least taken the lab "Introduction to AWS Elastic Beanstalk".

hands-on lab

Working with Elastic Load Balancing (日本語版)

このラボでは、Elastic Load Balancing (ELB) の概念を紹介します。このラボでは、ELB を使用して、アベイラビリティーゾーン内の一連のウェブサーバー間で負荷分散を行います。2 台の Amazon EC2 インスタンスを起動し、ブートストラップによってウェブサーバーとコンテンツをインストールしてから、Amazon EC2 DNS レコードを使用してインスタンスに個別にアクセスします。

En 英語(English) Zh 中国語(Chinese) Ja 日本語
hands-on lab

Introduction to Amazon EC2 Auto Scaling

This lab provides the basic hands-on experience of Amazon EC2 Auto Scaling -- setting up Auto Scaling to automatically launch compute instances in response to conditions that you specify. You will use Auto Scaling via the AWS console to create the basic infrastructure of a Launch Configuration and an Auto Scaling group. You will test the configuration by terminating a running instance and viewing the results as Auto Scaling responds by scaling up and starting another instance. <br><br> For the lab to function as written, please DO NOT change the auto assigned region.

En 英語(English) Ja 日本語
hands-on lab

Entity and Sentiment Analysis with the Natural Language API

The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.

hands-on lab

Working with Alexa: Build a Fact Skill

In this lab, you will build a Fact Skill in the Amazon Developer Portal, then build a Lambda function to handle notifications from Alexa. You will use a sample Fact skill for this lab, which you can use as a template for your own Skill after completing the lab. You will use both the AWS Console and the Amazon Developer Portal in this lab. You do not need an Alexa device. Prerequisites: To successfully complete this lab, you should be familiar with AWS Lambda through taking the introductory lab. Familiarity with Node.js programming will be helpful, although full solution code is provided. You will need to have/create a no-cost, no-credit-card-required account in the Amazon Developer Portal. Familiarity with the Amazon Developer Portal and the Alexa Skills Kit is helpful, though not required. You do not need an Alexa device for this lab.

hands-on lab

Deploy a Ruby on Rails App to App Engine Flexible Environment

In this lab, you will learn how to deploy a new Ruby on Rails application or Rails app for short to Google App Engine Flexible environment. You will learn Cloud Shell and the Cloud SDK to get started without needing any downloads or installs.

hands-on lab

Networking 101

In this lab you will learn how to perform basic networking tasks on Google Cloud Platform by setting up a network and 3 subnetworks; and how GCP might differ from an on-premises setup.

hands-on lab

Container-Optimized OS: Qwik Start

This hands-on lab shows you how to create Compute Engine instances running Container-Optimized OS.

hands-on lab

Kubernetes Engine でデプロイを管理する

DevOps のおすすめの方法は、複数のデプロイを利用してアプリケーションのデプロイ シナリオを管理することです。このラボでは、複数の異種混合デプロイが使用される一般的なシナリオを実現するために、コンテナのスケーリングと管理を実践します。

En 英語(English) Es スペイン語(Spanish) Ja 日本語 Pt br ポルトガル語(Portuguese) Ko 韓国語(Korean) Fr フランス語 De ドイツ語(German)
hands-on lab

Getting Started with Cloud KMS

In this lab you'll work with advanced features of Google Cloud Security and Privacy APIs, including setting up a secure Cloud Storage bucket, managing keys and encrypted data using Key Management Storage, and viewing Cloud Storage audit logs.

hands-on lab

Introduction to Amazon Route 53 (日本語版)

ここではAmazon Route 53の基本的な知識を提供します。ホストゾーン(HZ)内での簡単なDNSレコードの作成、編集、削除、簡単なヘルスチェックおよび関連付けられているフェイルオーバーレコードの作成とテストといった、Route 53 の開始に必要な順について説明します。前提条件は、IPネットワーク、DNSアドレス指定、ホスト名解決についての基本的知識です。

En 英語(English) Ja 日本語
hands-on lab

Using Windows Server Storage Spaces with Amazon EBS

This lab leads you through the steps to launch an Amazon Elastic Compute Cloud (EC2) instance using an Amazon Machine Image (AMI), add multiple disks to the instance, and build a tiered storage pool with SSD and magnetic volumes. You will also create a virtual disk using the storage pool. At the end of this lab, you will understand how to build a virtual disk pool with different storage tiers using Amazon EBS and Windows Storage Spaces and see how to connect to Storage Spaces from another machine via iSCSI.

En 英語(English) Zh 中国語(Chinese) Zh tw 繁体字中国語
hands-on lab

Using Open Data with Amazon S3(日本語版)

このラボでは、データを Amazon S3 にアップロードして、ウェブブラウザから誰でもそのデータにアクセスできるようにする方法をデモンストレーションします。Amazon S3 バケットを作成する方法、ウェブサイトをホストするように Amazon S3 バケットを設定する方法、オブジェクトを Amazon S3 バケットにアップロードする方法、JavaScript を使用してそのオブジェクトをウェブページに表示する方法を学びます。さらに、オープンデータを作成するためのベストプラクティスについても学びます。このラボが終了すると、データへのアクセスを簡単にし、データの基本的な情報を提供する、シンプルなウェブサイトがデプロイされます。

En 英語(English) Ja 日本語 Zh 中国語(Chinese)
hands-on lab

Building Search into your Applications with Amazon CloudSearch

This lab will demonstrate the basics of search engines and Amazon CloudSerach. It will cover how to create a search domain, how to configure it, how to upload data, how to build queries, and how to tune your ranking. You will explore the features of the AWS Management Console and learn how easy it is to get started with Amazon CloudSearch.

En 英語(English) Ja 日本語
hands-on lab

Running Distributed TensorFlow on Compute Engine

This lab shows you how to use a distributed configuration of TensorFlow on multiple Compute Engine instances to train a convolutional neural network model using the MNIST dataset.

hands-on lab

Deploy a Java EE Application on AWS Elastic Beanstalk Using Docker Containers

This lab demonstrates how to install a Java EE application into JBoss Wildfly, running in a custom Docker Container and then deploy your container to AWS Elastic Beanstalk.

hands-on lab

Provision Services with Cloud Launcher

In this hands-on lab you'll learn how to use Cloud Launcher to quickly get started with common operating systems, web frameworks, and databases.

hands-on lab

Automated Video Editing with YOU as the Star!

Learn how to auto-detect faces with Amazon Rekognition and automatically create a new video with Amazon Elastic Transcoder.

hands-on lab

Running a Node.js Container in Kubernetes with Container Engine

Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on premise hardware. This lab provides a quick introduction to running a website on Google Container Engine using Docker.

hands-on lab

Introduction to Amazon DynamoDB(日本語版)

このラボはAmazon DynamoDBについて学びます。マネジメントコンソールからテーブルを作り、クエリの実行、閲覧、テーブルの削除までを実施します。

En 英語(English) Ja 日本語 Zh tw 繁体字中国語
hands-on lab

Using OpenTSDB to Monitor Time-Series Data on Cloud Platform

In this lab you will learn how to collect, record, and monitor time-series data on Google Cloud Platform (GCP) using OpenTSDB running on Google Kubernetes Engine and Google Cloud Bigtable.

hands-on lab

Deployment Manager - パッケージとデプロイ

このラボでは、Python アプリケーションを開発し、それをサービスとして GCP にデプロイします。コードを使用し、既存のアプリケーションをパッケージ化します。

En 英語(English) Ja 日本語
hands-on lab

Introduction to Elastic Load Balancing(日本語版)

[:ja] このラボでは、Elastic Load Balancingを使用して、Webトラフィックを複数のEC2インスタンスに自動的に分散する方法を学習します。基本的なElastic Load Balancingの作成、ヘルスチェックの設定、セキュリティグループの割り当て、および設定の確認方法を演習します。操作デモを含むオンライン無料動画をご覧になるには、 https://us-east-1-aws-training.s3.amazonaws.com/intro/elb.htmlにアクセスしてください。

En 英語(English) Zh 中国語(Chinese) Ja 日本語 Ko 韓国語(Korean)

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