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
모두 지우기
  • 배지
  • 형식
  • 언어

결과 1186개
  1. 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.

  2. 실습 추천

    Automate GKE Configurations with Config Sync and Policy Controller

    Use GitOps-driven Config Sync to automate configuration and Policy Controller to enforce policies on GKE Enterprise resources

  3. 실습 추천

    Getting started with Webpack

    In this hands-on lab, you will learn about the Webpack development.

  4. 실습 추천

    Deploy Secure Endpoints for Users with ChromeOS

    In this lab, you'll set up ChromeOS device and users & browsers policies.

  5. 실습 추천

    Creating Vertex AI Conversation Playbooks

    In this codelab, you’ll learn about Vertex AI Conversational AI Playbooks. In a step by step process,you will be able to create a simple playbook based conversational bot.

  6. 실습 추천

    Cloud Composer: Qwik Start - Command Line

    In this lab, you use Cloud Shell command line to create the Cloud Composer environment and set Composer environment variables. You then use Composer to run a workflow that verifies a data file, creates and runs an Apache Hadoop wordcount job on a Dataproc cluster, and deletes the cluster.

  7. 실습 추천

    Migrating Data to and from Spanner with Dataflow

    In this lab, you use Dataflow and Apache Beam to migrate data into Spanner.

  8. 실습 추천

    Contact Center AI Insights

    CCAI Insights provides contact center interaction data to answer business questions or support decisions to drive efficiency. It uses Google ML and Large Language Models to turn contact center data to insights to action. Based on the outcomes of the insights module various actions can be taken by contact center ma…

  9. 실습 추천

    Recover VMs with Google Backup and DR Service

    Use SCC reports to diagnose and remediate security issues

  10. 실습 추천

    Getting Started with Neo4J Enterprise on Google Cloud

    In this lab you will load data from a Google Cloud Storage Bucket to Neo4j then explore the data using the Neo4J browser and Cypher query language