本课程介绍 Google Cloud 中的 AI 和机器学习 (ML) 服务，这些服务可构建预测式和生成式 AI 项目。本课程探讨从数据到 AI 的整个生命周期中可用的技术、产品和工具，包括 AI 基础、开发和解决方案。通过引人入胜的学习体验和实操练习，本课程可帮助数据科学家、AI 开发者和机器学习工程师提升技能和知识水平。
在本课程中，您将了解 Google Cloud 数据工程、数据工程师的角色和职责，以及相关的 Google Cloud 产品和服务。您还将了解如何应对数据工程挑战。
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In this skill badge, you will demonstrate your ability to deploy Google Agentspace and set up data stores and actions. To learn these skills, we encourage you to take the course Accelerate Knowledge Exchange with Agentspace.
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Agentspace 结合了 Google 在搜索和 AI 领域的专长。它是一款企业工具，让员工只需通过一个搜索栏，就能从文档库、电子邮件、聊天消息、工单系统及其他数据源中查找具体信息。Agentspace 助理还能帮助进行头脑风暴、开展研究、生成文档大纲并执行其他操作，比如邀请同事参加某日历活动。因此它能加快知识型工作的进度并提升协作效率。
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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
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This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
基准：基础架构
Earned Apr 23, 2025 EDT
在 Google Cloud 上实施云安全基础措施
Earned Apr 22, 2025 EDT
为 Looker 信息中心和报告准备数据
Earned Apr 16, 2025 EDT
Google Cloud 上的 AI 和机器学习简介
Earned Apr 16, 2025 EDT
从 BigQuery 数据中挖掘数据洞见
Earned Apr 15, 2025 EDT
Google Cloud 数据工程简介
Earned Apr 10, 2025 EDT
Deploy Google Agentspace
Earned Mar 20, 2025 EDT
借助 Agentspace 加速知识交流
Earned Mar 19, 2025 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned Mar 13, 2025 EDT
Preparing for your Professional Data Engineer Journey
Earned Jan 23, 2025 EST