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 980 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!

  • Badge
  • 格式 (1)
  • 语言

1073 条结果

  1. 实验 精选

    Generative AI: Stuttgart Tour

    Arcade chatbot lab to learn about the Stuttgart

  2. 实验 精选

    Scaling Microservices Applications: Migration to Redis Enterprise on Google Cloud

    In this lab, you will deploy a fully functioning microservices e-Commerce website application on Google Cloud using Redis to run the shopping cart service and then migrate that to Redis Enterprise for scalability and high availability.

  3. 实验 精选

    Build a Website on Google Cloud: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Building Websites on Google Cloud course. You should be familiar with the content of these labs before attempting this lab.

  4. 实验 精选

    Pub/Sub: Qwik Start - Python

    In this lab, you learn about Pub/Sub and how to create a topic and subscriber with a Python script, and then publish and view messages. Watch the short video Simplify Event Driven Processing with Cloud Pub/Sub.

  5. 实验 精选

    Deploying an Open Source Cassandra™ Database using the GCP Marketplace

    In this lab you will deploy an Apache Cassandra™ database using using the GCP marketplace. You will connect to the database using CQL Shell and run some simple DDL commands to create a table, load some data and query it.

  6. 实验 精选

    Cloud Scheduler: Qwik Start

    In this lab you'll create a recurring Cloud Scheduler job that specifies a Pub/Sub topic as the job target.

  7. 实验 精选

    Deploy and Test a Visual Inspection AI Cosmetic Anomaly Detection Solution

    In this lab, you learn how to deploy and test a Visual Inspection AI Cosmetic Anomaly Detection solution.

  8. 实验 精选

    Form Parsing with Document AI (Python)

    In this lab, you will learn how to use the Document AI Form Parser to parse a handwritten form with Python.

  9. 实验 精选

    Exploring NCAA Data with BigQuery

    Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.

  10. 实验 精选

    Safeguarding with Vertex AI Gemini API

    In this lab, you learn how to inspect the safety ratings returned from the Vertex AI Gemini API and how to set a safety threshold to filter responses.