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.
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실습 추천 Using Role-based Access Control in Kubernetes Engine
After provisioning two service accounts to represent user personas and three namespaces for dev, test, and prod, you will test the access controls of the personals in each namespace.
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실습 추천 Creating Vertex AI Agent Builder
In this codelab, you’ll learn about Vertex AI Agent Builder. In a step by step process,you will be able to create a simple agent based conversational bot.
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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
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실습 추천 Getting started with Webpack
In this hands-on lab, you will learn about the Webpack development.
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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.
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실습 추천 Offloading Financial Mainframe Data into BigQuery and Elastic Search
In this hands-on lab, you will import synthetic data* representing financial records offloaded from a bank’s mainframe.
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실습 추천 Deploy Secure Endpoints for Users with ChromeOS
In this lab, you'll set up ChromeOS device and users & browsers policies.
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실습 추천 Grounding Gemini Models in Vertex AI
In this lab, you will learn how to use grounding in Vertex AI to generate content grounded in your own documents and data.
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실습 추천 Exploring the Public Cryptocurrency Datasets Available in BigQuery
In this hands-on lab you’ll learn how to use BigQuery to explore the cryptocurrency public datasets now available. This is a challange lab, and you are required to complete some simple SQL statements.
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실습 추천 Secure Software Supply Chain: Using Cloud Build & Cloud Deploy to Deploy Containerized Applications
In this lab you will use Cloud Build to create a containerized "Hello, World!" application, store the container in Artifact Registry, and deploy the contianer to Cloud Run.