원하는 방식의 Google Cloud 교육을 살펴보세요.

Google Cloud에서 개발자를 대상으로 한 980개 이상의 학습 활동을 선택할 수 있는 포괄적인 카탈로그를 설계했습니다. 이 카탈로그는 개발자가 선택할 수 있는 다양한 활동 형식으로 구성되어 있습니다. 짧은 분량의 개별 실습 또는 동영상, 문서, 실습, 퀴즈로 구성된 멀티 모듈 과정 중에서 선택하세요. 실습에서는 실제 클라우드 리소스에 대한 임시 사용자 인증 정보를 제공하므로 실제 리소스를 사용하여 Google Cloud를 알아볼 수 있습니다. 이수한 과정의 배지를 획득하고 Google Cloud 성과를 정의, 추적, 측정하세요.

필터링 기준
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결과 1186개
  1. 실습 추천

    Block.one: Creating a Multi Node EOSIO Blockchain

    In this lab, you will extend the single node EOSIO blockchain to use multiple nodes.

  2. 실습 추천

    Datadog: Getting started with the Helm Chart

    In this lab, you will learn how to use the Datadog Helm Chart.

  3. 실습 추천

    Leveraging NetApp Cloud Volume ONTAP Remote Caching Capabilities for EDA Workloads

    In this lab you will learn how to leverage NetApp Cloud Volumes ONTAP remote caching for EDA workloads.

  4. 실습 추천

    Material Components for Flutter Basics

    Design a basic frontend for a mobile app using Material Components for Flutter.

  5. 실습 추천

    Migrate MySQL Data to Cloud SQL using Database Migration Service: Challenge Lab

    This challenge lab tests your ability to migrate a database using the Database Migration Service.

  6. 실습 추천

    TFX on Google Cloud Vertex AI Pipelines

    In this lab you will develop, deploy, and run a TFX pipeline on Google Cloud Vertex Pipelines.

  7. 실습 추천

    Answering Complex Questions Using Native Derived Tables with LookML

    In this lab you will use native derived tables to answer complex questions with LookML.

  8. 실습 추천

    Create and Manage Cloud SQL for PostgreSQL Instances: Challenge Lab

    In this challenge lab, you test your skills in creating and managing Cloud SQL for PostgreSQL instances.

  9. 실습 추천

    Getting Started with Elasticsearch on Google Cloud

    In this lab you will create a simple Elasticsearch deployment leveraging Google Cloud Platform.

  10. 실습 추천

    Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion

    In this lab you’ll be working with Wrangler directives which are used by the Wrangler plugin, the “Swiss Army Knife” of plugins in the Data Fusion platform, so that your transformations are encapsulated in one place and we can group transformation tasks into manageable blocks.