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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实验 精选 Getting started with Firebase Web
In this hands-on lab, you will learn about the Firebase product suite with Web.
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实验 精选 Migrating an application and data from Apache Cassandra™ to DataStax Enterprise
In this lab, you will learn how to migrate an application running on Apache Cassandra™ to DataStax Enterprise (DSE). To do this, you will deploy a Cassandra™ database and an application that writes data into it. You will then deploy a DataStax Enterprise database and connect the same application to the database. F…
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实验 精选 Scaling VM-Series to Secure Google Cloud Networks
Secure Google Cloud hub-and-spoke topology with VM-Series at scale.
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实验 精选 Vertex AI: Training and Serving a Custom Model
In this lab, you will use Vertex AI to train and serve a TensorFlow model using code in a custom container.
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实验 精选 Build an LLM and RAG-based Chat Application with AlloyDB and Vertex AI
In this lab, you create a chat application that uses Retrieval Augmented Generation, or RAG, to augment prompts with data retrieved from AlloyDB.
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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。
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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.
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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.