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 Generative AI: Swimming Tour
Arcade chatbot lab to learn about the swimming events at the Olympics
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实验 精选 Getting Started with MongoDB Atlas on Google Cloud
In this lab you will provision a MongoDB Atlas database and deploy a MEAN Cloud Run app
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实验 精选 Getting Started with Vertex AI Gemini 1.5 Flash
This lab will provide an introductory, hands-on experience with Generative AI on Google Cloud.
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实验 精选 Grounding Gemini Models in Vertex AI
In this lab, you will learn how to use grounding in Vertex AI to generate content grounded in your own documents and data.
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实验 精选 Introduction to Controlled Generation with the Gemini API
In this lab, you will learn how to use the controlled generation capability in the Vertex AI Gemini API.
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实验 精选 Introduction to Vertex AI Embeddings: Text and Multimodal
In this lab, you will explore the Vertex AI Embeddings API for both Text and Multimodal (Images and Video) use cases.
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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 Multimodal Use Cases with Gemini 1.5
In this lab, you will learn how to use Gemini 1.5 Pro and Gemini 1.5 Flash LLMs for multimodal use cases.
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实验 精选 Orchestrating a TFX Pipeline with Airflow
In this lab, you'll learn to create your own machine learning pipelines using TensorFlow Extended (TFX) and Apache Airflow as the orchestrator.