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

    Use Vertex AI Studio for Healthcare

    In this lab, you will learn how to use Vertex AI Studio to create prompts and conversations with Gemini's multimodal capabilities in a healthcare context.

  2. 实验 精选

    APIs Explorer: Cloud SQL

    In this lab, you will get hands-on practice with the Cloud SQL API and its associated methods by making calls through the APIs Explorer tool.

  3. 实验 精选

    Prepare Data for ML APIs on Google Cloud:挑戰研究室

    完成「Prepare Data for ML APIs on Google Cloud」課程的研究室後,您可以透過這個挑戰研究室檢測所學的技能與知識。進行這個研究室前,請先熟悉研究室的內容。

  4. 实验 精选

    Distributed Image Processing in Cloud Dataproc

    In this lab, you will learn how to use Apache Spark on Cloud Dataproc to distribute a computationally intensive image processing task onto a cluster of machines.

  5. 实验 精选

    Build an LLM and RAG-based Chat Application using AlloyDB and LangChain

    Learn how to create an interactive application within a deployed environment.

  6. 实验 精选

    使用 Windows 防禦主機設定安全的 RDP:挑戰研究室

    進行此挑戰研究室時,您必須在限定時間內完成一系列的工作。您將需要在新的虛擬私有雲子網路中,部署安全的 Windows 機器,且該機器需設為無法與外部通訊,接著在當中部署 Microsoft Internet Information Server。

  7. 实验 精选

    Create Text Embeddings for a Vector Store using LangChain

    In this lab, you learn how to use LangChain to store documents as embeddings in a vector store. You will use the LangChain framework to split a set of documents into chunks, vectorize (embed) each chunk and then store the embeddings in a vector database.

  8. 实验 精选

    Explore false positives through incident detection

    Aanalyze a false positive threat using the Security Command Center (SCC) and take action to address it.

  9. 实验 精选

    Setting up Generative Knowledge Assist in the Agent Assist console

    This lab provides a step-by-step approach to creating a Data Store, adding documents to the Data Store, creating a GKA infobot agent and attaching the Data Store to it, setting up an Agent Assist conversation profile, and linking it to the GKA Agent for Knowledge Assist using the Agent Assist console.

  10. 实验 精选

    將 MySQL 資料庫遷移至 Google Cloud SQL:挑戰研究室

    您的挑戰是將資料庫遷移至 Google Cloud SQL 並重新設定應用程式,應用程式就不再需要本機的 MySQL 資料庫。