これは、Google Cloud Essentials よりもレベルの高い内容の練習機会を求めている初心者のクラウド デベロッパーに おすすめのコースです。Cloud Storage だけでなく、 Monitoring や Cloud Run functions などの主要なアプリケーション サービスに関連するラボを通して、 実践的な経験を積むことが可能です。また、 あらゆる Google Cloud イニシアチブに応用できる有益なスキルを身に付けることができます。
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安全な Google Cloud ネットワークの構築コースを修了してスキルバッジを獲得しましょう。このコースでは、Google Cloud でアプリケーションを ビルド、スケール、保護するための複数のネットワーク関連リソースについて学習します。
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このコースは、技術または財務の担当者で Google Cloud 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を学びます。 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 Google Cloud 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課金データを分析する方法、 Looker Studio を使用してカスタムの課金ダッシュボードを作成する方法を習得します。動画で紹介されている関連資料には、 こちらの参考資料ドキュメントからアクセスできます。
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Cloud Logging is a fully managed service that performs at scale. It can ingest application and system log data from thousands of VMs and, even better, analyze all that log data in real time. In this fundamental-level Quest, you learn how to store, search, analyze, monitor, and alert on log data and events from Google Cloud. The labs in the Quest give you hands-on practice using Cloud Logging to maximize your learning experience and provide insight on how you can use Cloud Logging to your own Google Cloud environment.
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Learn the ins and outs of Google Cloud's operations suite, an important service for generating insights into the health of your applications. It provides a wealth of information in application monitoring, report logging, and diagnoses. These labs will give you hands-on practice with and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data. It is recommended that the students have at least earned a Badge by completing the Google Cloud Essentials. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this course, enroll in and finish the challenge lab at the end of the Monitor and Log with Google Cloud Operations Suite to receive an exclusive Google Cloud digital badge.
For everyone using Google Cloud Platform for the first time, getting familar with gcloud, Google Cloud's command line, will help you get up to speed faster. In this quest, you'll learn how to install and configure Cloud SDK, then use gcloud to perform some basic operations like creating VMs, networks, using BigQuery, and using gsutil to perform operations.
Firebase is a backend-as-service (Bass) platform for creating mobile and web applications. In this quest you will learn to build serverless web apps, import data into a serverless database, and build a Google Assistant application with Firebase and its Google Cloud integrations. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
「Cloud Run でのサーバーレス アプリケーションの開発」コースの中級スキルバッジを獲得すると、 データ マネジメントのための Cloud Run と Cloud Storage の統合、 Cloud Run と Pub/Sub を使用した復元力のある非同期システムの構築、 Cloud Run を使用した REST API ゲートウェイの構築、Cloud Run でのサービスの構築とデプロイといったスキルを実証できます。
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Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text, and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the Google Cloud Run Serverless Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google…
Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
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Data Catalog is deprecated and will be discontinued on January 30, 2026. You can still complete this course if you want to. For steps to transition your Data Catalog users, workloads, and content to Dataplex Catalog, see Transition from Data Catalog to Dataplex Catalog (https://cloud.google.com/dataplex/docs/transition-to-dataplex-catalog). Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.
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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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Blockchain and related technologies, such as distributed ledger and distributed apps, are becoming new value drivers and solution priorities in many industries. In this course you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. It brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. Since this course uses advanced SQL in BigQuery, a SQL-in-BigQuery refresher lab is at the start.
Google Cloud ネットワークにおけるデプロイの自動化とトラフィックの管理
Earned 11月 13, 2022 EST
クラウド エンジニアリング
Earned 11月 13, 2022 EST
ベースライン: インフラストラクチャ
Earned 11月 13, 2022 EST
安全な Google Cloud ネットワークの構築
Earned 1月 29, 2022 EST
Google Cloud の費用の把握
Earned 1月 29, 2022 EST
Cloud Logging
Earned 1月 29, 2022 EST
DEPRECATED Google Cloud's Operations Suite
Earned 1月 28, 2022 EST
Google Cloud ネットワークの構築
Earned 1月 28, 2022 EST
Google Cloud におけるアプリ開発環境の設定
Earned 1月 28, 2022 EST
Using the Cloud SDK Command Line
Earned 1月 27, 2022 EST
Firebase を使用したサーバーレス アプリの開発
Earned 1月 27, 2022 EST
Build Apps & Websites with Firebase
Earned 1月 27, 2022 EST
Compute Engine での Cloud Load Balancing の実装
Earned 1月 26, 2022 EST
Cloud Run でのサーバーレス アプリケーションの開発
Earned 1月 26, 2022 EST
Google Cloud Run Serverless Workshop
Earned 1月 18, 2022 EST
Google Cloud の基礎
Earned 1月 16, 2022 EST
Google Cloud でのクラウド セキュリティの基礎の実践
Earned 1月 15, 2022 EST
Looker ダッシュボードとレポート用にデータを準備する
Earned 9月 26, 2021 EDT
BigQuery のデータから分析情報を引き出す
Earned 9月 25, 2021 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned 9月 25, 2021 EDT
Data Catalog Fundamentals
Earned 9月 25, 2021 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned 9月 25, 2021 EDT
DEPRECATED Applied Data: Blockchain
Earned 9月 25, 2021 EDT
Data Science on the Google Cloud Platform
Earned 9月 25, 2021 EDT