원하는 방식의 Google Cloud 교육을 살펴보세요.

Google Cloud에서 개발자를 대상으로 한 700개 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.

  • 솔루션
  • 역할
  • 배지
  • 형식
  • 수준
  • 기간
  • 언어

결과 374개

  1. 실습 추천

    Engineer Data for Predictive Modeling with BigQuery ML: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Engineer Data for Predictive Modeling with BigQuery ML skill badge. You should be familiar with the content of labs before attempting this lab.

  2. 과정 추천

    Data Catalog Fundamentals

    Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own t…

  3. 과정 추천

    Preparing for your Professional Data Engineer Journey

    This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

  4. 실습 추천

    Derive Insights from BigQuery Data: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Derive Insights from BigQuery Data skill badge. You should be familiar with the content of the labs before attempting this lab.

  5. 실습 추천

    BigQuery Soccer Data Ingestion

    Get started with sports data science by importing soccer data on matches, teams, players, and match events into BigQuery tables.

  6. 실습 추천

    Troubleshooting Data Models in Looker

    In this lab you will learn how to troubleshoot and diagnose LookML code

  7. 실습 추천

    Creating a Data Transformation Pipeline with Cloud Dataprep

    Cloud Dataprep by Alteryx is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. In this lab, you explore the Dataprep user interface (UI) to build a data transformation pipeline.

  8. 과정 추천

    Google Cloud Big Data and Machine Learning Fundamentals - 한국어

    이 과정에서는 데이터-AI 수명 주기를 지원하는 Google Cloud 빅데이터 및 머신러닝 제품과 서비스를 소개합니다. Google Cloud에서 Vertex AI를 사용하여 빅데이터 파이프라인 및 머신러닝 모델을 빌드하는 프로세스, 문제점 및 이점을 살펴봅니다.

  9. 과정 추천

    BigQuery for Data Warehousing

    Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. BigQuery is Google's ful…

  10. 실습 추천

    Analyze and Visualize Looker Data: Challenge Lab

    In this challenge lab, you test your skills in filtering, pivoting, calculating, and merging data to build Looker dashboards and reports.