按需活动

Google Cloud 根據您的需求規劃了全方位的課程內容,內含超過 700 項學習活動,並涵蓋多種活動型態,您可自由選擇。您可以選擇簡短的個別研究室,或是包含影片、文件、研究室和測驗的多單元課程。在研究室中,您可以透過臨時憑證實際使用雲端資源,直接累積 Google Cloud 實作經驗。完成課程可獲得徽章,讓您輕鬆掌握、追蹤及評估自己的 Google Cloud 學習成果!

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111 条结果

  1. 课程 精选

    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. 课程 精选

    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. 课程 精选

    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. 实验 精选

    Integrate with Machine Learning APIs: Challenge Lab

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

  5. 实验 精选

    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. 实验 精选

    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. 实验 精选

    Bracketology with Google Machine Learning

    In this lab, you use BigQuery to analyze the public NCAA dataset and BigQuery ML to predict NCAA tournament brackets.

  8. 实验 精选

    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. 实验 精选

    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. 课程 精选

    How Google Does Machine Learning

    This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models. The course discusses the five phases of converting a …