[go: nahoru, domu]

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
Clear all

732 条结果

  1. 实验 精选

    BigQuery Soccer Data Analytical Insight

    Learn how to create deeper analytical insights from soccer event data using BigQuery.

  2. 实验 精选

    Arcade Hero: Enter the Artifact Registry YUM

    Arcade Hero: Artifact Registry Level One

  3. 实验 精选

    Build a Multi-Modal GenAI Application: Challenge Lab

    This challenge lab evaluates your understanding of Google's Vertex AI SDK for integrating generative AI models to build an Image generator app, and an app which enables you to ask questions about images and receive insightful text-based responses.

  4. 实验 精选

    Introduction to Convolutions with TensorFlow

    A convolution is a filter that passes over an image, processes it, and extracts features that show a commonality in the image. In this lab you'll see how they work, and try processing an image to extract features from it!

  5. 实验 精选

    Arcade Hero: Enter the Artifact Registry APT

    Arcade Hero: Artifact Registry Level One

  6. 实验 精选

    Arcade Hero: Enter the Artifact Registry Python

    Arcade Hero: Artifact Registry Level One

  7. 实验 精选

    Build an AI Image Generator app using Imagen on Vertex AI

    In this lab, you will learn how to use Google's Vertex AI SDK to interact with the pre-trained Image Generation AI model, enabling you to send text prompts to the AI model as an input for image generation and receive the image response generated by the AI model.

  8. 实验 精选

    Arcade Hero: Enter the Artifact Registry NPM

    Arcade Hero: Artifact Registry Level One

  9. 实验 精选

    BigQuery Machine Learning using Soccer Data

    Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.

  10. 实验 精选

    Deploying a Multi-Cluster Gateway Across GKE Clusters

    Learn how to enable, use, and deploy the multi-cluster Google Kubernetes Engine (GKE) Gateway controller