按照您自己的方式探索 Google Cloud 培训。

Google Cloud 提供 980 多项学习活动供您选择,我们设计的目录完整全面,充分考虑了您的需求。该目录包含各种可供您选择的活动形式,既有简短的单个实验,也有由视频、文档、实验和测验组成的多模块课程,您可以根据需求进行选择。我们的实验可为您提供实际云资源的临时凭据,以便您通过实际操作掌握 Google Cloud 知识。您可以跟踪、衡量和了解自己的 Google Cloud 学习进度,完成学习活动即可赢取徽章!

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112 条结果

  1. 课程 精选

    Engineer Data for Predictive Modeling with BigQuery ML

    Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; buil…

  2. 课程 精选

    NCAA® March Madness®: Bracketology with Google Cloud

    In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.

  3. 课程 精选

    Prepare Data for ML APIs on Google Cloud

    Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language A…

  4. 课程 精选

    Intro to ML: Image Processing

    Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of oth…

  5. 实验 精选

    Create ML Models with BigQuery ML: Challenge Lab

    This challenge lab tests your skills in developing and using machine learning models using BigQuery.

  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. 课程 精选

    Advanced ML: ML Infrastructure

    Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this advanced-level quest, you will get hands-on practice with machine learning at …

  8. 实验 精选

    Vertex AI Workbench 笔记本:Qwik Start

    在本实验中,您将训练一个 TensorFlow 模型并将其部署到 Vertex AI 以提供预测服务。请观看以下两个视频:Getting started with Notebooks for machine learning(面向机器学习的 Notebooks 入门指南)和 Faster model training and experimentation with Vertex AI(使用 Vertex AI 更快地进行模型训练和实验)。

  9. 实验 精选

    Predict Baby Weight with TensorFlow on Vertex AI

    In this lab you train, evaluate, and deploy a machine learning model to predict a baby’s weight. You then send requests to the model to make online predictions. This lab is part of a series of labs on processing scientific data.

  10. 实验 精选

    Classify Images of Clouds in the Cloud with AutoML Images

    AutoML Images helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).