Cloud Run でのサーバーレス アプリケーションの開発
Earned 3月 12, 2024 EDT
Hybrid Cloud Modernizing Applications with Anthos
Earned 2月 6, 2024 EST
Google Kubernetes Engine を使ってみる
Earned 2月 6, 2024 EST
Application Development with Cloud Run
Earned 2月 6, 2024 EST
App Deployment, Debugging, and Performance - 日本語版
Earned 2月 5, 2024 EST
Securing and Integrating Components of Your Application - 日本語版
Earned 2月 4, 2024 EST
Getting Started with Application Development - 日本語版
Earned 2月 3, 2024 EST
Google Cloud の基礎: コア インフラストラクチャ
Earned 2月 2, 2024 EST
Cloud SQL
Earned 7月 31, 2023 EDT
Inside Track: Authoring and Connectors in Google Apigee Integration
Earned 6月 14, 2023 EDT
Upgrading and Monitoring the Apigee Hybrid API Platform
Earned 1月 27, 2023 EST
Managing and Securing the Apigee Hybrid API Platform
Earned 1月 25, 2023 EST
Architecting and Installing the Apigee Hybrid API Platform
Earned 1月 25, 2023 EST
Hybrid Cloud Multi-Cluster with Anthos
Earned 1月 25, 2023 EST
Hybrid Cloud Service Mesh with Anthos
Earned 1月 24, 2023 EST
Hybrid Cloud Infrastructure Foundations with Anthos
Earned 1月 24, 2023 EST
Google Kubernetes Engine を使用した構築: 実践
Earned 1月 24, 2023 EST
Google Kubernetes Engine を使用した構築: ワークロード
Earned 1月 23, 2023 EST
Google Kubernetes Engine を使用した構築: 基礎
Earned 1月 18, 2023 EST
API Design and Fundamentals of Google Cloud's Apigee API Platform
Earned 1月 17, 2023 EST
API Security on Google Cloud's Apigee API Platform
Earned 1月 16, 2023 EST
API Development on Google Cloud's Apigee API Platform
Earned 1月 13, 2023 EST
Apigee X のデプロイと管理
Earned 1月 6, 2023 EST
企業における AI と ML の利用が拡大し続けるなか、責任を持ってそれを構築することの重要性も増しています。多くの企業にとっての課題は、責任ある AI と口で言うのは簡単でも、それを実践するのは難しいということです。このコースは、責任ある AI を組織で運用化する方法を学びたい方に最適です。
このコースでは、Google Cloud が責任ある AI を現在どのように運用化しているかを、ベスト プラクティスや教訓と併せて学び、責任ある AI に対する独自のアプローチを構築するためのフレームワークとして活用できるようにします。
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In this course you will discover Liquid, the templating language invented by Shopify and explore how it can be used in Looker to create dynamic links, content, formatting, and more.
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Hands on course covering the main uses of extends and the three primary LookML objects extends are used on as well as some advanced usage of extends.
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This course is designed to teach you about roles, permission sets and model sets. These are areas that are used together to manage what users can do and what they can see in Looker.
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This course aims to introduce you to the basic concepts of Git: what it is and how it's used in Looker. You will also develop an in-depth knowledge of the caching process on the Looker platform, such as why they are used and why they work
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This course provides an introduction to databases and summarized the differences in the main database technologies. This course will also introduce you to Looker and how Looker scales as a modern data platform. In the lessons, you will build and maintain standard Looker data models and establish the foundation necessary to learn Looker's more advanced features.
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This course provides an iterative approach to plan, build, launch, and grow a modern, scalable, mature analytics ecosystem and data culture in an organization that consistently achieves established business outcomes. Users will also learn how to design and build a useful, easy-to-use dashboard in Looker. It assumes experience with everything covered in our Getting Started with Looker and Building Reports in Looker courses.
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In this course, we’ll show you how organizations are aligning their BI strategy to most effectively achieve business outcomes with Looker. We'll follow four iterative steps: Plan, Build, Launch, Grow, and provide resources to take into your own services delivery to build Looker with the goal of achieving business outcomes.
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By the end of this course, you should be able to articulate Looker's value propositions and what makes it different from other analytics tools in the market. You should also be able to explain how Looker works, and explain the standard components of successful service delivery.
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This course introduces you to the fundamentals of Application Integration, covering the skills needed to be an Integration Developer with the Application Integration product.
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Google Cloud 上の Gemini 1.0 Pro モデルとアプリケーションの統合に関する短いコースです。ここでは、Gemini API とその生成 AI モデルについて学習し、Gemini 1.0 Pro モデルと Gemini 1.0 Pro Vision モデルにコードからアクセスする方法を学びます。これらのモデルの機能は、アプリからのテキスト、画像、動画のプロンプトを使用してテストできます。
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This course introduces the Cloud Run serverless platform for running applications.
In this course, you learn about the fundamentals of Cloud Run, its resource model and the container lifecycle.
You learn about service identities, how to control access to services, and how to develop and test your
application locally before deploying it to Cloud Run. The course also teaches you how to integrate
with other services on Google Cloud so you can build full-featured applications.
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In this course, you learn about containers and how to build, and package container images. The content in this course includes best practices for creating and securing containers, and provides an introduction to Cloud Run and Google Kubernetes Engine for application developers.
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In this course, you learn about Cloud Run functions, Google's serverless, fully-managed functions as a service (FaaS) product that lets you implement single-purpose function code that reponds to HTTP requests and events from your cloud infrastructure.
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This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices. Using lectures and hands-on labs, you learn how to use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to build microservices applications on Google Cloud.
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In this course, you learn the fundamentals of application development on Google Cloud. You learn best practices for cloud applications, and how to select compute and data options to match your application use cases. You're introduced to generative AI and how it's used to help build applications. You learn about authentication and authorization, application deployment, continuous integration and delivery, and monitoring and performance tuning for your applications running in Google Cloud. Using lectures and hands-on labs, you learn how to get started building and running applications on Google Cloud.
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「Apigee X を使用した API の開発と保護」コースを修了するとスキルバッジを獲得できます。 このコースでは、API をモダナイズする方法、サービス アカウントと Google 認証を使用して、Apigee API プロキシからバックエンド サービスに安全にアクセスする方法、 API プロダクトとデベロッパー ポータルを使用して API を製品化する方法、 API キー、OAuth、プライベート変数、障害の処理などの機能を使用して API を保護する方法、 Pub/Sub や Cloud Logging などの Google Cloud サービスと Apigee を統合する方法、 Natural Language API や Geocoding API などの Google Cloud の API を呼び出す方法を学習します。
詳細
Complete the introductory Create and Manage Cloud Spanner Instances skill badge to demonstrate skills in the following: creating and interacting with Cloud Spanner instances and databases; loading Cloud Spanner databases using various techniques; backing up Cloud Spanner databases; defining schemas and understanding query plans; and deploying a Modern Web App connected to a Cloud Spanner instance.
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Complete the introductory Create and Manage Bigtable Instances skill badge to demonstrate skills in the following: creating instances, designing schemas, querying data, and performing administrative tasks in Bigtable including monitoring performance and configuring node autoscaling and replication.
「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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Course four of the Anthos series prepares students to consider multiple approaches for modernizing applications and services within Anthos environments. Topics include optimizing workloads on serverless platforms and migrating workloads to Anthos. This course is a continuation of course three, Anthos on Bare Metal, and assumes direct experience with the topics covered in that course.
This course introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to on Google Cloud using Cloud Run.design, implement, deploy, secure, manage, and scale applications
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Course Description:
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Course Description:
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アプリケーション デベロッパーは、このコースを通して、Google Cloud のマネージド サービスをシームレスに統合するクラウドネイティブ アプリケーションの設計方法と開発方法を学びます。講義、デモ、ハンズオンラボを通して、アプリケーション開発のベスト プラクティスを適用する方法、さらに、オブジェクト ストレージやリレーショナル データ、キャッシュ保存、分析に適切な Google Cloud ストレージ サービスを使用する方法を学習します。
各ラボのいずれかのバージョンを修了する必要があります。各ラボは Node.js で提供されます。ほとんどの場合、同じラボが Python または Java でも提供されます。各ラボをご希望の言語で修了できます。
これは「Developing Applications with Google Cloud」シリーズの最初のコースです。このコースを修了したら、「Securing and Integrating Components of your Application」コースに登録してください。
Cloud SQL is a fully managed database service that stands out from its peers due to high performance, seamless integration, and impressive scalability. In this quest you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features, which you will apply to production frameworks and application environments. From creating instances and querying data with SQL, to building Deployment Manager scripts and connecting Cloud SQL instances with applications run on GKE containers, this quest will give you the knowledge and experience needed so you can start integrating this service right away.
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In this course, you will learn about the Apigee Integration solution and its architecture. You will learn how to identify and develop customer opportunities while differentiating Google's offering from other competitors. Also, the course includes a deep dive into the use of Connectors in Apigee Integrations, as well as demos into how the implementation configurations for design, deployment, monitoring and debugging are carried out.
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This course discusses the upgrade process for Apigee hybrid, and teaches you how to monitor and troubleshoot the hybrid runtime plane components.
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This course discusses how environments are managed in Apigee hybrid, and how runtime plane components are secured. You will also learn how to deploy and debug API proxies in Apigee hybrid, and about capacity planning and scaling.
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This course introduces you to the fundamentals and practices used to install and manage Google Cloud's Apigee API Platform for hybrid cloud.
Through a combination of lectures, a hands-on lab, and supplemental materials, you will learn how to install and operate the Apigee API Platform.
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This on-demand course equips students to understand, configure, and maintain
multi-cluster Kubernetes infrastructures using Anthos GKE, and Istio-based
service mesh, whether deployed with Anthos on Google Cloud or with Anthos
deployed on VMware.
This is the third, and final, course of the Architecting Hybrid Cloud
Infrastructure with Anthos series.
Completion of the Architecting with Google Kubernetes Engine path is a
prerequisite for this course.
詳細
This on-demand course equips students to understand and adopt Istio-based
service-mesh with Anthos for centralized observability, traffic management,
and service-level security.
This is the second course of the Architecting Hybrid Cloud Infrastructure with
Anthos series. After completing this course, learners should continue to the
Hybrid Cloud Multi-Cluster with Anthos course.
Completion of the Architecting with Google Kubernetes Engine path is a
prerequisite for this course.
詳細
Welcome to Hybrid Cloud Infrastructure Foundations with Anthos!
This is the first course of the Architecting Hybrid Cloud Infrastructure with Anthos path. Anthos enables you to build and manage modern applications, and gives you the freedom to choose where to run them. Anthos gives you one consistent experience in both your on-premises and cloud environments.
During this course, you will be presented with modules that will take you through skills that you will use as an architect or administrator running Anthos environments. The modules in this course include videos, hands-on labs, and links to helpful documentation.
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このコースでは、Kubernetes と Google Kubernetes Engine（GKE）のセキュリティについて、およびロギングとモニタリングについて学びます。また、Google Cloud マネージド ストレージ サービスとデータベース サービスを GKE 内で使用する方法についても学びます。
これは「Google Kubernetes Engine を使用した構築」シリーズの 2 つ目のコースです。このコースを修了したら、「信頼性に優れた Google Cloud インフラストラクチャ: 設計とプロセス」コースか、「Hybrid Cloud Infrastructure Foundations with Anthos」コースに登録してください。
In this course, you learn how to design APIs, and how to use OpenAPI specifications to document them. You learn about the API life cycle, and how the Apigee API platform helps you manage all aspects of the life cycle. You learn about how APIs can be designed using API proxies, and how APIs are packaged as API products to be used by app developers.
Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform. This is the first course of the Developing APIs with Google Cloud's Apigee API Platform series. After completing this course, enroll in the API Security on Google Cloud's Apigee API Platform course.
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In this course, you learn how to secure your APIs. You explore the security concerns you will encounter for your APIs. You learn about OAuth, the primary authorization method for REST APIs. You will learn about JSON Web Tokens (JWTs) and federated security. You also learn about securing against malicious requests, safely sending requests across a public network, and how to secure your data for users of Apigee.
Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform.
This is the second course of the Developing APIs with Google Cloud's Apigee API Platform series. After completing this course, enroll in the API Development on Google Cloud's Apigee API Platform course.
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In this course, you learn how to create APIs that utilize multiple services and how you can use custom code on Apigee. You will also learn about fault handling, and how to share logic between proxies. You learn about traffic management and caching. You also create a developer portal, and publish your API to the portal. You learn about logging and analytics, as well as CI/CD and the different deployment models supported by Apigee.
Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform.This is the third and final course of the Developing APIs with Google Cloud's Apigee API Platform course series.
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Apigee X のデプロイと管理」クエストを修了するとスキルバッジを獲得できます。 X このクエストでは、Apigee X アーキテクチャ、Google Cloud プロジェクト内の Apigee X 組織のプロビジョニング方法、 Apigee API と UI を使用した Apigee X の管理、 Cloud Armor と Apigee 脅威保護ポリシーを使用して API を保護する方法を学びます。
責任ある AI: Google Cloud における AI に関する原則の適用
Earned 7月 9, 2025 EDT
Liquid Templates and Parameters
Earned 11月 21, 2024 EST
Extends to Keep LookML DRY
Earned 11月 21, 2024 EST
Admin Roles and Folder Access
Earned 11月 21, 2024 EST
Version Control and Caching
Earned 11月 21, 2024 EST
The Modern Data Platform and LookML
Earned 11月 20, 2024 EST
Driving Data Culture and Designing Dashboards
Earned 11月 20, 2024 EST
Achieving Business Outcomes with Looker
Earned 11月 20, 2024 EST
Looker Explained
Earned 11月 20, 2024 EST
Introduction to Application Integration for Integration Developer
Earned 11月 14, 2024 EST
Google Cloud 上の Gemini 1.0 Pro とアプリケーションの統合
Earned 11月 8, 2024 EST
Developing Applications with Cloud Run on Google Cloud: Fundamentals
Earned 11月 7, 2024 EST
Developing Containerized Applications on Google Cloud
Earned 11月 7, 2024 EST
Developing Applications with Cloud Run Functions on Google Cloud
Earned 11月 7, 2024 EST
Service Orchestration and Choreography on Google Cloud
Earned 11月 6, 2024 EST
Developing Applications with Google Cloud: Foundations
Earned 11月 5, 2024 EST
Apigee X を使用した API の開発と保護
Earned 11月 4, 2024 EST
Create and Manage Cloud Spanner Instances
Earned 3月 27, 2024 EDT
Create and Manage Bigtable Instances
Earned 3月 27, 2024 EDT
Google Cloud での Kubernetes アプリケーションのデプロイ
Earned 3月 13, 2024 EDT
Firebase を使用したサーバーレス アプリの開発
Earned 3月 12, 2024 EDT
Cloud Run でのサーバーレス アプリケーションの開発
Earned 3月 12, 2024 EDT
Hybrid Cloud Modernizing Applications with Anthos
Earned 2月 6, 2024 EST
Google Kubernetes Engine を使ってみる
Earned 2月 6, 2024 EST
Application Development with Cloud Run
Earned 2月 6, 2024 EST
App Deployment, Debugging, and Performance - 日本語版
Earned 2月 5, 2024 EST
Securing and Integrating Components of Your Application - 日本語版
Earned 2月 4, 2024 EST
Getting Started with Application Development - 日本語版
Earned 2月 3, 2024 EST
Google Cloud の基礎: コア インフラストラクチャ
Earned 2月 2, 2024 EST
Cloud SQL
Earned 7月 31, 2023 EDT
Inside Track: Authoring and Connectors in Google Apigee Integration
Earned 6月 14, 2023 EDT
Upgrading and Monitoring the Apigee Hybrid API Platform
Earned 1月 27, 2023 EST
Managing and Securing the Apigee Hybrid API Platform
Earned 1月 25, 2023 EST
Architecting and Installing the Apigee Hybrid API Platform
Earned 1月 25, 2023 EST
Hybrid Cloud Multi-Cluster with Anthos
Earned 1月 25, 2023 EST
Hybrid Cloud Service Mesh with Anthos
Earned 1月 24, 2023 EST
Hybrid Cloud Infrastructure Foundations with Anthos
Earned 1月 24, 2023 EST
Google Kubernetes Engine を使用した構築: 実践
Earned 1月 24, 2023 EST
Google Kubernetes Engine を使用した構築: ワークロード
Earned 1月 23, 2023 EST
Google Kubernetes Engine を使用した構築: 基礎
Earned 1月 18, 2023 EST
API Design and Fundamentals of Google Cloud's Apigee API Platform
Earned 1月 17, 2023 EST
API Security on Google Cloud's Apigee API Platform
Earned 1月 16, 2023 EST
API Development on Google Cloud's Apigee API Platform
Earned 1月 13, 2023 EST
Apigee X のデプロイと管理
Earned 1月 6, 2023 EST