この最初のハンズオンラボでは、Qwiklabs と Google Cloud Platform Console にアクセスし、GCP の基本機能（プロジェクト、リソース、IAM ユーザー、役割、権限、API、Cloud Shell）を使用します。
この入門レベルのクエストでは、Google Cloud Platform の基本的なツールやサービスに関する実践演習を行います。「GCP の基礎」は Qwiklabs で特に人気のあるクエストですが、それはクラウドの予備知識がほとんどなくても、あらゆる GCP プロジェクトに応用できる実際的な経験を積めるからです。「GCP の基礎」では、Cloud Shell コマンドの記述、初めての仮想マシンのデプロイ、Kubernetes Engine 上でのアプリケーション実行と負荷分散など、Google Cloud Platform の主な機能を紹介します。
DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this quest you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five multiple-choice question quiz and find out!
G Suite is Google's Collaborative Applications platform, delivered from Google Cloud. In this introductory-level quest, you will get hands-on practice with G Suite’s core applications from a user perspective. Although there are many more applications and tool components to G Suite than are covered here, you will get experience with the primary apps: Gmail, Calendar, Sheets and a handful of others. Each lab can be completed in 10-15 minutes, but extra time is provided to allow self-directed free exploration of the applications. As an optional final step, you can take the Certification Exam Practice lab, and see the kinds of practice questions and performance-based scenarios are part of the forthcoming G Suite Certification exam.
This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics and gain insights from data, and develop with pre-trained ML APIs to leverage machine learning event if you are not a Machine Learning expert.You will also experience seamless integration between various Google services and APIs to create intelligent apps.
このクエストは、技術または財務の担当者で GCP の費用の管理を担う方に最適です。請求先アカウントを設定する方法、リソースを整理する方法、請求アクセス権限を管理する方法について学習します。ハンズオンラボでは、請求書を表示する方法、請求レポートを使用して GCP の費用を追跡する方法、BigQuery や Google スプレッドシートを使用して請求データを分析する方法、データポータルを使用してカスタムの請求ダッシュボードを作成する方法について学習します。
This is the second Quest in a two-part series on GCP billing and cost management essentials. This Quest is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. Here you'll learn several ways to control and optimize your GCP costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts. In the hands-on labs, you’ll practice using various tools to control and optimize your GCP costs or to influence your technology teams to apply the cost optimization best practices.
Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.
With Google Assistant expected to be part of over a billion consumer devices by the end of this year, this Quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. Over the course of 5 labs, you will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required -- these labs use the cloud-based Google Assistant simulator environment for developing and testing -- but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.
Get Anthos Ready. Demand for Google Kubernetes Engine is growing, and customers are looking to Google and its partners to provide in-depth technical knowledge. This first Google Kubernetes Engine-centric Quest of best practices hands-on labs will get you started containerizing to modernize in place , and then managing your deployed apps and services -- with monitoring, tracing, and logging.