按照您自己的方式探索 Google Cloud 培训。

Google Cloud 提供 700 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!

  • 解决方案
  • 角色
  • 徽章
  • 格式
  • 级别
  • 时长
  • 语言

111 条结果

  1. 课程 精选

    Build and Deploy Machine Learning Solutions on Vertex AI

    Earn a skill badge by completing the Build and Deploy Machine Learning Solutions with Vertex AI course, where you will learn how to use Google Cloud's unified Vertex AI platform and its AutoML and custom training services to train, evaluate, tune, explain, and deploy machine learning solutions. This skill badge …

  2. 实验 精选

    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.

  3. 实验 精选

    BigQuery Machine Learning using Soccer Data

    Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.

  4. 课程 精选

    Launching into Machine Learning

    The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a …

  5. 课程 精选

    Production Machine Learning Systems

    This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed t…

  6. 课程 精选

    Managing Machine Learning Projects with Google Cloud

    Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine lear…

  7. 课程 精选

    Smart Analytics, Machine Learning, and AI on Google Cloud

    Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course…

  8. 课程 精选

    Google Cloud Big Data and Machine Learning Fundamentals

    This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

  9. 课程 精选

    Machine Learning Operations (MLOps): Getting Started

    This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professiona…

  10. 课程 精选

    Applying Machine Learning to your Data with Google Cloud

    In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learnin…