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Trần Nguyên

メンバー加入日: 2021

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Introduction to Image Generation - 日本語版 のバッジ Introduction to Image Generation - 日本語版 Earned 1月 10, 2024 EST
Introduction to Generative AI Studio - 日本語版 のバッジ Introduction to Generative AI Studio - 日本語版 Earned 1月 10, 2024 EST
Generative AI Fundamentals - 日本語版 のバッジ Generative AI Fundamentals - 日本語版 Earned 1月 10, 2024 EST
Introduction to Responsible AI - 日本語版 のバッジ Introduction to Responsible AI - 日本語版 Earned 1月 10, 2024 EST
Introduction to Large Language Models - 日本語版 のバッジ Introduction to Large Language Models - 日本語版 Earned 1月 10, 2024 EST
Introduction to Generative AI - 日本語版 のバッジ Introduction to Generative AI - 日本語版 Earned 1月 10, 2024 EST
Build a Data Warehouse with BigQuery のバッジ Build a Data Warehouse with BigQuery Earned 11月 14, 2021 EST
Flutter Development のバッジ Flutter Development Earned 7月 23, 2021 EDT
Deprecated Kubernetes Solutions のバッジ Deprecated Kubernetes Solutions Earned 5月 19, 2021 EDT
Optimize Google Cloud Costs のバッジ Optimize Google Cloud Costs Earned 5月 12, 2021 EDT
Understand Your Google Cloud Costs のバッジ Understand Your Google Cloud Costs Earned 5月 10, 2021 EDT
Applied Data: Blockchain のバッジ Applied Data: Blockchain Earned 5月 9, 2021 EDT
DEPRECATED Websites and Web Applications のバッジ DEPRECATED Websites and Web Applications Earned 4月 24, 2021 EDT
DEPRECATED Explore Machine Learning Models with Explainable AI のバッジ DEPRECATED Explore Machine Learning Models with Explainable AI Earned 4月 21, 2021 EDT
Integrate with Machine Learning APIs のバッジ Integrate with Machine Learning APIs Earned 4月 21, 2021 EDT
Prepare Data for ML APIs on Google Cloud のバッジ Prepare Data for ML APIs on Google Cloud Earned 4月 20, 2021 EDT
[DEPRECATED] Data Engineering のバッジ [DEPRECATED] Data Engineering Earned 4月 18, 2021 EDT
DEPRECATED IoT in the Google Cloud のバッジ DEPRECATED IoT in the Google Cloud Earned 4月 18, 2021 EDT
Google Cloud Essentials のバッジ Google Cloud Essentials Earned 4月 18, 2021 EDT
Baseline: Infrastructure のバッジ Baseline: Infrastructure Earned 4月 18, 2021 EDT
Intermediate ML: TensorFlow on Google Cloud のバッジ Intermediate ML: TensorFlow on Google Cloud Earned 4月 18, 2021 EDT
Intro to ML: Image Processing のバッジ Intro to ML: Image Processing Earned 4月 18, 2021 EDT
BigQuery Basics for Data Analysts のバッジ BigQuery Basics for Data Analysts Earned 4月 17, 2021 EDT
Create ML Models with BigQuery ML のバッジ Create ML Models with BigQuery ML Earned 4月 17, 2021 EDT
BigQuery for Machine Learning のバッジ BigQuery for Machine Learning Earned 4月 17, 2021 EDT
Build Apps & Websites with Firebase のバッジ Build Apps & Websites with Firebase Earned 4月 17, 2021 EDT
Migrating MySQL data to Cloud SQL using Database Migration Service のバッジ Migrating MySQL data to Cloud SQL using Database Migration Service Earned 4月 16, 2021 EDT
Build Infrastructure with Terraform on Google Cloud のバッジ Build Infrastructure with Terraform on Google Cloud Earned 4月 11, 2021 EDT
Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications のバッジ Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications Earned 4月 8, 2021 EDT
NCAA® March Madness®: Bracketology with Google Cloud のバッジ NCAA® March Madness®: Bracketology with Google Cloud Earned 4月 8, 2021 EDT
Application Development - Python のバッジ Application Development - Python Earned 4月 3, 2021 EDT
Develop Serverless Apps with Firebase のバッジ Develop Serverless Apps with Firebase Earned 4月 2, 2021 EDT
Optimize Costs for Google Kubernetes Engine のバッジ Optimize Costs for Google Kubernetes Engine Earned 4月 2, 2021 EDT
Serverless Cloud Run Development のバッジ Serverless Cloud Run Development Earned 4月 2, 2021 EDT
Cloud Architecture: Design, Implement, and Manage のバッジ Cloud Architecture: Design, Implement, and Manage Earned 4月 2, 2021 EDT
Deploy Kubernetes Applications on Google Cloud のバッジ Deploy Kubernetes Applications on Google Cloud Earned 4月 1, 2021 EDT
Build a Secure Google Cloud Network のバッジ Build a Secure Google Cloud Network Earned 4月 1, 2021 EDT
Set up and Configure a Cloud Environment in Google Cloud のバッジ Set up and Configure a Cloud Environment in Google Cloud Earned 3月 31, 2021 EDT
[DEPRECATED] Build Interactive Apps with Google Assistant のバッジ [DEPRECATED] Build Interactive Apps with Google Assistant Earned 3月 30, 2021 EDT
Getting Started with Go on Google Cloud のバッジ Getting Started with Go on Google Cloud Earned 3月 28, 2021 EDT
Build a Website on Google Cloud のバッジ Build a Website on Google Cloud Earned 3月 27, 2021 EDT
Implement DevOps in Google Cloud のバッジ Implement DevOps in Google Cloud Earned 3月 25, 2021 EDT
Monitor and Log with Google Cloud Operations Suite のバッジ Monitor and Log with Google Cloud Operations Suite Earned 3月 23, 2021 EDT
Perform Foundational Infrastructure Tasks in Google Cloud のバッジ Perform Foundational Infrastructure Tasks in Google Cloud Earned 3月 23, 2021 EDT
Implement Cloud Security Fundamentals on Google Cloud のバッジ Implement Cloud Security Fundamentals on Google Cloud Earned 3月 23, 2021 EDT
Implement Load Balancing on Compute Engine のバッジ Implement Load Balancing on Compute Engine Earned 3月 23, 2021 EDT

このコースでは拡散モデルについて説明します。拡散モデルは ML モデル ファミリーの一つで、最近、画像生成分野での有望性が示されました。拡散モデルは物理学、特に熱力学からインスピレーションを得ています。ここ数年、拡散モデルは研究と産業界の両方で広まりました。拡散モデルは、Google Cloud の最先端の画像生成モデルやツールの多くを支える技術です。このコースでは、拡散モデルの背景にある理論と、モデルを Vertex AI でトレーニングしてデプロイする方法について説明します。

詳細

このコースでは、Vertex AI の Generative AI Studio をご紹介します。Generative AI Studio によりジェネレーティブ AI モデルのプロトタイプ作成とカスタマイズを行い、ジェネレーティブ AI 機能を自社のアプリケーションで活用できます。このコースでは、Generative AI Studio の概要、機能とオプション、使用方法をデモを通じて学びます。コースの最後には、ハンズオンラボで学んだことを実践し、クイズで理解度を確認しましょう。

詳細

「Introduction to Generative AI」、「Introduction to Large Language Models」、「Introduction to Responsible AI」の各コースを修了すると、スキルバッジを獲得できます。最終テストに合格することで、ジェネレーティブ AI の基礎概念を理解していることが証明されます。 スキルバッジは、Google Cloud のプロダクトとサービスに関する知識を認定するために Google Cloud が発行するデジタルバッジです。スキルバッジは、ソーシャル メディアの公開プロフィールを作成してそこに追加することで一般向けに共有できます。

詳細

この入門レベルのマイクロラーニング コースでは、責任ある AI の概要と重要性、および Google が責任ある AI を自社プロダクトにどのように実装しているのかについて説明します。また、Google の AI に関する 7 つの原則についても説明します。

詳細

このコースは、大規模言語モデル(LLM)とは何か、どのようなユースケースで活用できるのか、プロンプト調整で LLM のパフォーマンスを高めるにはどうすればよいかについて学習する、入門レベルのマイクロ ラーニング コースです。ジェネレーティブ AI アプリを自分で作成するのに役立つ Google ツールについても紹介します。

詳細

この入門レベルのマイクロラーニング コースでは、ジェネレーティブ AI の概要、利用方法、従来の機械学習の手法との違いについて説明します。独自のジェネレーティブ AI アプリを作成する際に利用できる Google ツールも紹介します。

詳細

Complete the intermediate Build a Data Warehouse with BigQuery skill badge to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge course, and final assessment challenge lab, to receive a digital badge that you can share with your network. For practice with BigQuery fundamentals (including working with the console and command line), complete the course titled BigQuery Basics for Data Analysts.

詳細

Explore the fundamentals of Flutter application development in this hands-on quest! Within this quest, you will build a "Hello World" Flutter application, design a frontend for a shopping application, and learn how to connect your Flutter applications to backend services. Each lab in this quest utilizes a pre-provisioned development environment allowing minimal setup to get into the application code!

詳細

Containerized applications have changed the game and are here to stay. With Kubernetes, you can orchestrate containers with ease, and integration with the Google Cloud Platform is seamless. In this advanced-level quest, you will be exposed to a wide range of Kubernetes use cases and will get hands-on practice architecting solutions over the course of 8 labs. From building Slackbots with NodeJS, to deploying game servers on clusters, to running the Cloud Vision API, Kubernetes Solutions will show you first-hand how agile and powerful this container orchestration system is.

詳細

Google Cloud の請求管理と費用管理の基礎を学ぶ、2 部構成コースの 2 つ目のクエストです。このクエストは、財務または IT の担当者で、組織のクラウド インフラストラクチャの最適化を担う方に最適です。ここでは、予算とアラートの設定、割り当て上限の管理、確約利用割引の活用など、Google Cloud 費用を管理および最適化する方法をいくつか学びます。ハンズオンラボでは、さまざまなツールを実際に使って Google Cloud の費用を管理、最適化したり、費用を最適化するためのベスト プラクティスを技術チームに共有し、その普及を促したりすることができます。

詳細

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。

詳細

Blockchain and related technologies, such as distributed ledger and distributed apps, are becoming new value drivers and solution priorities in many industries. In this Quest you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. This Quest brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. Since this Quest utilizes advanced SQL in BigQuery, a SQL-in-BigQuery refresher lab is at the start. The final lab is an advanced challenge-style lab in which there are elements where you are not provided the answer but must solve it for yourself.

詳細

When it comes to hosting websites and web applications, you want a framework that’s robust, fast, and secure. By choosing the Google Cloud Platform, you will have all of those needs covered. In this fundamental-level quest, you will get hands-on practice with GCPs key infrastructure and computing services for the web. From deploying your first web app, to integrating Cloud SQL with Ruby on Rails, to mapping the NYC subway system on App Engine, you will learn all the skills needed to harness GCPs web hosting power.

詳細

Earn a skill badge by completing the Explore Machine Learning Models with Explainable AI quest, where you will learn how to do the following using Explainable AI: build and deploy a model to an AI platform for serving (prediction), use the What-If Tool with an image recognition model, identify bias in mortgage data using the What-If Tool, and compare models using the What-If Tool to identify potential bias. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest and the final assessment challenge lab to receive a skill badge that you can share with your network.

詳細

機械学習はもっとも急速に成長している技術分野の一つであり、Google Cloud はその発展に貢 献してきました。Google Cloud には数多くの API が用意されており、あらゆる機械学習ジョブ に対応することができます。この上級レベルのクエストでは、「Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API」などのラボを受講して、Machine Learning API を実際に操作します。このクエスト(最後のチャレンジラボも含む)を修了すると、Google Cloud の限定デジタルバッジを取得できます。チャレンジラボでは詳細な手順の説明はありません。最小限のガイダンスに基づいてソリューションを構築することが求められ、Google Cloud テクノロジーのスキルが試されます。このクエストを修了したら、 Integrate with Machine Learning APIs クエストの最後にある追加のチャレンジラボを受講して、Google Cloud の限定デジタルバッジを取得しましょう。

詳細

Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

詳細

This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. 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 the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.

詳細

In this quest, you will learn about Google Cloud’s IoT Core service and its integration with other services like GCS, Dataprep, Stackdriver and Firestore. The labs in this quest use simulator code to mimic IOT devices and the learning here should empower you to implement the same streaming pipeline with real world IoT devices.

詳細

この入門レベルのクエストでは、Google Cloud 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。「Google Cloud Essentials」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 Google Cloud 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。 「Google Cloud Essentials」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 の主な機能を紹介します。主なコンセプトは 1 分間のビデオで説明されています。

詳細

Google Cloud Essentials よりレベルの高いハンズオンラボでの実践を求めている初心者のクラウド デベロッパーであるなら、このクエストをおすすめします。 Cloud Storage や、Stackdriver および Cloud 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。 このクエストでは、すべての 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られます。主なコンセプトは 1 分間のビデオで説明されています。

詳細

TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.

詳細

大規模な計算処理能力を活用してパターンを認識し、画像を解釈することは、自動運転から顔認識まで、さまざまな用途における AI の基盤技術です。Google Cloud Platform は、API を呼び出すだけで利用できるシステムを通じて、ワールドクラスの速度と精度を提供しています。GCP にはさまざまな API があるため、機械学習に関するほぼすべてのタスクに対応することができます。この入門クエストでは、画像処理に用いられる機械学習の実践的な演習を行います。ラボを活用して、画像にラベルを付けたり、顔やランドマークを検出したり、画像内のテキストを抽出、分析、翻訳したりすることができます。

詳細

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.

詳細

Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in the following: creating and evaluating machine learning models with BigQuery ML to make data predictions. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

詳細

機械学習を学んで実践し、SQL だけを使用して、数時間ではなく数分でモデルをビルドしたいとお考えの場合、BigQuery の新機能である BigQuery ML を使用すれば、最小限のコーディングで機械学習モデルの作成、トレーニング、評価、予測が可能になります。この一連のラボでは、さまざまなモデルタイプを試して、優れたモデルを作成する方法を学習します。

詳細

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.

詳細

This advanced-level quest offers hands-on practice with migrating MySQL data to Cloud SQL using Database Migration Service. You will start with an introductory lab that briefly reviews how to get started with Cloud SQL for MySQL, including how to connect to Cloud SQL instances using the Cloud Console, then continue with two labs focused on migrating MySQL databases to Cloud SQL using different job types and connectivity options available in Database Migration Service. The quest ends with migrating MySQL user data when running Database Migration Service jobs.

詳細

Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.

詳細

In this course you will learn how to use several BigQuery ML features to improve retail use cases. Predict the demand for bike rentals in NYC with demand forecasting, and see how to use BigQuery ML for a classification task that predicts the likelihood of a website visitor making a purchase.

詳細

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.

詳細

In this advanced-level quest, you will learn the ins and outs of developing GCP applications in Python. The first labs will walk you through the basics of environment setup and application data storage with Cloud Datastore. Once you have a handle on the fundamentals, you will get hands-on practice deploying Python applications on Kubernetes and App Engine (the latter is the same framework that powers Snapchat!) With specialized bonus labs that teach user authentication and backend service development, this quest will give you practical experience so you can start developing robust Python applications straight away.

詳細

Complete the intermediate Develop Serverless Apps with Firebase skill badge to demonstrate skills in the following: architecting and building serverless web applications with Firebase, utilizing Firestore for database management, automating deployment processes using Cloud Build, and integrating Google Assistant functionality into your applications. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.

詳細

Complete the intermediate Optimize Costs for Google Kubernetes Engine skill badge to demonstrate skills in the following: creating and managing multi-tenant clusters, monitoring resource usage by namespace, configuring cluster and pod autoscaling for efficiency, setting up load balancing for optimal resource distribution, and implementing liveness and readiness probes to ensure application health and cost-effectiveness. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.

詳細

Lily さんは 12 年前に獣医クリニック チェーンの「Pet Theory」を創業しました。 以来クリニックは急速な拡大を遂げてきましたが、それに伴い課題も明らかになっ ています。予約システムが負荷の増大に対応できなくなっているほか、飼い主に検査 結果のメールやテキスト メッセージを確実に届けることができていません。また、獣医 は保険会社への対応に時間をとられ、診療に十分な時間を割くことができない状態です。 Lily さんは、これまで使用してきたソリューションよりも柔軟にスケーリングでき、継続的なメンテナンスの負担が小さいクラウドベースのシステムを構築したいと考えています。 そこで、サーバーレス テクノロジーを採用することにしました。Google Cloud Run サーバーレス クエストの各ラボでは、架空のビジネス シナリオに沿って Lily さんたちのサーバーレス ソリューションの実装をサポートします。このクエストを最後のチャレンジラ ボまで含めて修了すると、Google Cloud の限定デジタルバッジを取得できます。チャ レンジラボに詳細な手順の説明はありません。最小限のガイダンスに基づいてソリュー ションを構築することが求められ、Google Cloud テクノロジーのスキルが試されます。

詳細

Earn a skill badge by completing the Cloud Architecture: Design, Implement, and Manage to demonstrate skills in the following: deploy a publicly accessible website using Apache web servers, configure a Compute Engine VM using startup scripts, configure secure RDP using a Windows Bastion host and firewall rules, build and deploy a Docker image to a Kubernetes cluster and then update it, and create a CloudSQL instance and import a MySQL database. This skill badge is a great resource for understanding topics that will appear in the Google Cloud Certified Professional Cloud Architect certification exam. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.

詳細

Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge to demonstrate skills in the following: configuring and building Docker container images, creating and managing Google Kubernetes Engine (GKE) clusters, utilizing kubectl for efficient cluster management, and deploying Kubernetes applications with robust continuous delivery (CD) practices. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.

詳細

Earn a skill badge by completing the Build and Secure Networks in Google Cloud course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.

詳細

この基礎レベルの クエスト は他の Qwiklabs 製品の中でもユニークです。 これらのラボは、Google Cloud Certified Associate Cloud Engineer 認定資格試験に出題されるトピックやサービスについて、 IT プロフェッショナルがハンズオンで演習するために作成されました。 IAM からネットワーキング、Kubernetes engine のデプロイまで、Google Cloud の知識が試される 特定のラボで構成されています。このクエストおよびクエストの最後にあるチャレンジラボを完了すると、Google Cloud 限定デジタルバッジを獲得できます。これらのラボでの演習は スキルや能力の向上に役立ちますが、試験ガイドやその他の対策資料も参照することをお勧めします。

詳細

Earn a skill badge by completing the Build Interactive Apps with Google Assistant quest, where you will learn how to build Google Assistant applications, including how to: create an Actions project, integrate Dialogflow with an Actions project, test your application with Actions simulator, build an Assistant application with flash cards template, integrate customer MP3 files with your Assistant application, add Cloud Translation API to your Assistant application, and use APIs and integrate them into your applications. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.

詳細

Get started with Go (Golang) by reviewing Go code, and then creating and deploying simple Go apps on Google Cloud. Go is an open source programming language that makes it easy to build fast, reliable, and efficient software at scale. Go runs native on Google Cloud, and is fully supported on Google Kubernetes Engine, Compute Engine, App Engine, Cloud Run, and Cloud Functions. Go is a compiled language and is faster and more efficient than interpreted languages. As a result, Go requires no installed runtime like Node, Python, or JDK to execute.

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このクエストでは、ウェブサイトの可用性とスケーラビリティを確保するために利用できる 4 つの Google Cloud ウェブサイト アーキテクチャについて学びます。最後のチャレンジラボも含め、このクエストを修了すると、Google Cloud の限定デジタルバッジを獲得できます。チャレンジラボには詳細な手順説明はありませんが、最小限のガイダンスを基にソリューションを構築することが求められ、Google Cloud テクノロジーのスキルがテストされます。このクエストは、Get Cooking in Cloud の動画シリーズの内容に基づいています。

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DevOps で競争力を高めましょう。DevOps は、ソフトウェアの迅速な提供、サービスの信頼性向上、ソフトウェア関係者間での責任の共有などを目的とした組織的、文化的な活動です。 このクエストでは、Google Cloud を使用してソフトウェアを提供する際のスピード、安定性、可用性、セキュリティを高める方法について学びます。Google Cloud に加わった DevOps Research and Assessment を使用して、現在のチームの競争力を確認しましょう。5 つの選択式の質問に答えると結果が表示されます。このクエスト(最後のチャレンジラボも含む)を修了すると、Google Cloud の限定デジタルバッジを取得できます。チャレンジラボでは詳細な手順の説明はありません。最小限のガイダンスに基づいてソリューションを構築することが求められ、Google Cloud テクノロジーのスキルが試されます。

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Complete the introductory Monitor and Log with Google Cloud Operations Suite skill badge to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending custom application metrics, and configuring Cloud Monitoring alerts based on custom metrics. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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Getting Started - Create and Manage Cloud Resources よりレベルの高いハンズオンラボでの実践を求めている初心者のクラウド デベロッパーであるなら、このクエストをおすすめします。 Cloud Storage や、Stackdriver および Cloud 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。 このクエストでは、すべての 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られます。このクエストおよびクエストの最後にあるチャレンジラボを完了すると、Google Cloud 限定デジタルバッジを獲得できます。主なコンセプトは 1 分間のビデオで説明されて います。

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Complete the intermediate Implement Cloud Security Fundamentals on Google Cloud skill badge to demonstrate skills in the following: creating and assigning roles with Identity and Access Management (IAM); creating and managing service accounts; enabling private connectivity across virtual private cloud (VPC) networks; restricting application access using Identity-Aware Proxy; managing keys and encrypted data using Cloud Key Management Service (KMS); and creating a private Kubernetes cluster. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge course, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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Complete the introductory Implement Load Balancing on Compute Engine skill badge to demonstrate skills in the following: writing gcloud commands and using Cloud Shell, creating and deploying virtual machines in Compute Engine, and configuring network and HTTP load balancers. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

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