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. 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 - 繁體中文

    本課程介紹 Google Cloud 中的人工智慧 (AI) 和機器學習 (ML) 服務。這些服務透過 AI 基礎、開發和解決方案,支援「從資料到 AI」的生命週期。本課程討論的技術、產品和工具,可根據數據資料學家、AI 開發人員和機器學習工程師等不同使用者的目標,用於建構機器學習模型、機器學習管道和生成式 AI 專案。

  4. 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 …

  5. 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.

  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. 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…