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.
-
실습 추천 Google Meet: Getting Started
Use Google Meet to hold impromptu video meetings, virtual training classes around the world, remote interviews, and much more.
-
실습 추천 Connect an App to a Cloud SQL for PostgreSQL Instance
In this lab, you create a Kubernetes cluster and deploy a simple application to that cluster. Then, you connect the application to the supplied Cloud SQL for PostgreSQL database instance and confirm that it is able to write to and read from it.
-
실습 추천 Integrate BigQuery Data and Google Workspace using Apps Script: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Integrate BigQuery Data and Google Workspace using Apps Script quests. You should be familiar with the content of labs before attempting this lab.
-
실습 추천 Cloud Run에서 Gemini Pro와 통합된 Streamlit 앱 배포하기
이 실습에서는 Cloud Run에서 Gemini Pro와 통합된 Streamlit 앱을 배포하는 방법을 알아봅니다.
-
실습 추천 Google Drive: Getting Started
Use Google Drive to store all your files in the cloud, including photos, Microsoft® Word® documents, Excel® spreadsheets, and more. You can also make changes to a Word file using Google Docs, or convert your Word files to Google Docs.
-
실습 추천 Securing Compute Engine Applications and Resources using BeyondCorp Enterprise (BCE)
In this lab, you will learn how to secure a Compute Engine instance with Identity-Aware Proxy (IAP).
-
실습 추천 Get Started with Google Workspace Tools: Challenge Lab
In this lab you will configure your Workspace as a group member.
-
실습 추천 Modularizing LookML Code with Extends
In this lab, you learn how to modularize LookML code with Extends.
-
실습 추천 Log Analytics on Google Cloud
In this lab you will learn how to use Cloud Logging to analyze your logs.
-
실습 추천 APIs Explorer: Create and Update a Cluster
In this lab you’ll learn how to use an inline Google APIs Explorer template to call the Cloud Dataproc API to create a cluster, run a simple Spark job in the cluster, and update the cluster.