按照您自己的方式探索 Google Cloud 培训。
Google Cloud 提供 980 多项学习活动供您选择，我们设计的目录完整全面，充分考虑了您的需求。该目录包含各种可供您选择的活动形式，既有简短的单个实验，也有由视频、文档、实验和测验组成的多模块课程，您可以根据需求进行选择。我们的实验可为您提供实际云资源的临时凭据，以便您通过实际操作掌握 Google Cloud 知识。您可以跟踪、衡量和了解自己的 Google Cloud 学习进度，完成学习活动即可赢取徽章！
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实验 精选 Chronicle SIEM: Introduction & Single Event Rules
In this lab you perform basic configuration tasks within a Chronicle environment instance.
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实验 精选 Collect Metrics from Exporters using the Managed Service for Prometheus
In this lab, you will explore using the Managed Service for Prometheus to collect metrics from other infrastructure sources via exporters.
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实验 精选 Creating Spanner Instances and Databases (Console)
In this lab, you create Spanner instances and databases using the Google Cloud Console.
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实验 精选 Creating Permanent Tables and Access-Controlled Views in BigQuery
This lab focuses on how to create new permanent reporting tables and logical reviews from an existing ecommerce dataset.
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实验 精选 Visualize the 10,000 Bitcoin Pizza Transaction Using BigQuery and Vertex AI Workbench
In this lab you will use an Vertex AI Notebook instance to retrieve as many transactions as possible from BigQuery within 2 degrees of separation from the pizza exchange, post-process the transactions to remove excess transaction, then visualize the directed graph.
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实验 精选 Measuring and Improving Speech Accuracy
With this lab and Google’s tools you can learn how to get the best possible quality from the Speech-to-Text systems on your specific data.
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实验 精选 Explore flat and nested data types in BigQuery
Explore flat and nested data types in BigQuery and learn how to use these data types effectively in queries
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实验 精选 Classify Text into Categories with the Natural Language API
In this lab you'll learn how to classify text into categories using the Natural Language API
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实验 精选 Build an AI Image Recognition app using Gemini on Vertex AI
In this lab, you will learn how to use Google's Vertex AI SDK to interact with the powerful Gemini generative AI model, enabling you to ask questions about images and receive insightful text-based responses.