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!

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111 条结果

  1. 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.

  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. 课程 精选

    Introduction to AI and Machine Learning on Google Cloud - 简体中文

    本课程介绍 Google Cloud 中的人工智能 (AI) 和机器学习 (ML) 服务,这些服务支持数据到 AI 的生命周期(从 AI 基础、AI 开发到 AI 解决方案)。我们将探索一系列技术、产品和工具;利用这些工具,可基于不同用户(包括数据科学家、AI 开发者和机器学习工程师)的目标构建机器学习模型、机器学习流水线和生成式 AI 项目。

  4. 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.

  5. 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 …

  6. 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.

  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

    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 …

  9. 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 …

  10. 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