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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 1187개
  1. 실습 추천

    Collect Metrics from Exporters using the Managed Service for Prometheus

    In this lab, you will explore using the Managed Service for Prometheus to collect metrics from other infrastructure sources via exporters.

  2. 실습 추천

    Chronicle SIEM: Introduction & Single Event Rules

    In this lab you perform basic configuration tasks within a Chronicle environment instance.

  3. 실습 추천

    Creating Spanner Instances and Databases (Console)

    In this lab, you create Spanner instances and databases using the Google Cloud Console.

  4. 실습 추천

    Arcade Hero: Enter the Artifact Registry Container

    Arcade Hero: Artifact Registry Level One

  5. 실습 추천

    Creating Permanent Tables and Access-Controlled Views in BigQuery

    This lab focuses on how to create new permanent reporting tables and logical reviews from an existing ecommerce dataset.

  6. 실습 추천

    Visualize the 10,000 Bitcoin Pizza Transaction Using BigQuery and Vertex AI Workbench

    In this lab you will use an Vertex AI Notebook instance to retrieve as many transactions as possible from BigQuery within 2 degrees of separation from the pizza exchange, post-process the transactions to remove excess transaction, then visualize the directed graph.

  7. 실습 추천

    Measuring and Improving Speech Accuracy

    With this lab and Google’s tools you can learn how to get the best possible quality from the Speech-to-Text systems on your specific data.

  8. 실습 추천

    Explore flat and nested data types in BigQuery

    Explore flat and nested data types in BigQuery and learn how to use these data types effectively in queries

  9. 실습 추천

    Classify Text into Categories with the Natural Language API

    In this lab you'll learn how to classify text into categories using the Natural Language API

  10. 실습 추천

    Build an AI Image Recognition app using Gemini on Vertex AI

    In this lab, you will learn how to use Google's Vertex AI SDK to interact with the powerful Gemini generative AI model, enabling you to ask questions about images and receive insightful text-based responses.