On-demand activities

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!

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1186 条结果
  1. 实验 精选

    Google Calendar: Getting Started

    Learn how to use Google Calendar to schedule meetings and events and get reminders about upcoming activities. You can also share your schedule with others and create multiple calendars that you and your team can use together.

  2. 实验 精选

    Develop with Apps Script and AppSheet: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Develop with Apps Script and AppSheet quest. You should be familiar with the content of those labs before attempting this lab.

  3. 实验 精选

    Build a Knowledge Based System with Vertex AI Vector Search, LangChain and Gemini

    In this lab, you use Vertex AI Vector Search to index documents and create a knowledge base. The knowledge base is utilized to retrieve relevant search results to supply with a query submitted to a large language model (LLM), in this case, Gemini, as context. This technique is known as retrieval augmentation gener…

  4. 实验 精选

    Exploring the Lineage of Data with Cloud Data Fusion

    This lab shows how to use Cloud Data Fusion to explore data lineage - the data's origins and its movement over time.

  5. 实验 精选

    Securing APIs with Apigee X

    In this lab, you modify an API to require OAuth tokens for access. You use the SpikeArrest policy to limit the rate of API calls by application, and you use private variables and data masking to hide sensitive data from users who debug API traffic.

  6. 实验 精选

    Publishing APIs with Apigee X

    In this lab, you use API products to package your APIs, and create a developer portal so application developers can try your APIs and sign up to use them.

  7. 实验 精选

    Getting Started with Google Cloud NetApp Volumes

    In this lab, you will learn the basic concepts about Google Cloud NetApp Volumes

  8. 实验 精选

    Manage Multi-cluster Workloads at Scale with GKE Fleets and Teams

    Provision and manage infrastructure resources for different teams with GKE Enterprise's fleet team management features

  9. 实验 精选

    Machine Learning with TensorFlow in Vertex AI

    In this lab you will learn how to use Google Cloud Machine Learning and Tensorflow to develop and evaluate prediction models using machine learning.

  10. 实验 精选

    Implement Load Balancing on Compute Engine:挑戰研究室

    完成 Implement Load Balancing on Compute Engine 技能徽章課程的研究室之後,您可以透過這個挑戰研究室檢測所學的技能與知識。進行這個研究室之前,請先熟悉研究室的內容。