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.

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

결과 111개

  1. 과정 추천

    BigQuery for Machine Learning

    Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and le…

  2. 과정 추천

    Integrate with Machine Learning APIs

    Earn a skill badge by completing the Integrate with Machine Learning APIs course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Cloud Translation API, and Cloud Natural Language API. A skill badge is an exclusive digital badge issued by Google …

  3. 과정 추천

    Google Cloud Solutions II: Data and Machine Learning

    In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architectur…

  4. 실습 추천

    Integrate with Machine Learning APIs: Challenge Lab

    This challenge labs tests your skills in implementing a solution using the Google Machine Learning APIs

  5. 실습 추천

    Machine Learning with TensorFlow in Vertex AI

    In this lab you will learn how to use Google Cloud Machine Learning and Tensorflow to develop and evaluate prediction models using machine learning.

  6. 실습 추천

    Getting Started with BigQuery ML

    In this lab, you learn how to use BigQuery to create a machine learning model that predicts whether a visitor will make a transaction.

  7. 실습 추천

    Google 머신러닝을 사용한 브라켓톨로지

    이 실습에서는 머신러닝(ML)을 사용하여 공개 NCAA 데이터세트를 분석하고 NCAA 토너먼트 브라켓(대진표)을 예측합니다.

  8. 실습 추천

    Machine Learning with Spark on Google Cloud Dataproc

    In this lab you will learn how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset

  9. 실습 추천

    Fraud Detection on Financial Transactions with Machine Learning on Google Cloud

    Explore financial transactions data for fraud analysis, apply feature engineering and machine learning techniques to detect fraudulent activities using BigQuery ML.

  10. 실습 추천

    Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab

    In this challenge lab you will train, deploy, and create a model pipeline using Vertex AI.