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 700 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!
374 条结果
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实验 精选 在 Google Cloud 中執行基礎的資料、機器學習和 AI 工作:挑戰研究室
完成「Perform Foundational Data, ML, and AI Tasks in Google Cloud」技能徽章課程之後,您可以透過這個挑戰研究室檢測所學的技能與知識。進行這個研究室之前,請先熟悉研究室的內容。
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课程 精选 BigQuery for Data Warehousing
Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. BigQuery is Google's ful…
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实验 精选 Troubleshooting and Solving Data Join Pitfalls
In this lab, you explore the relationships between data tables and the pitfalls to avoid when joining them together.
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实验 精选 Exploring NCAA Data with BigQuery
Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.
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课程 精选 Preparing for your Professional Data Engineer Journey
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.
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实验 精选 Troubleshooting Data Models in Looker
In this lab you will learn how to troubleshoot and diagnose LookML code
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课程 精选 Modernizing Data Lakes and Data Warehouses with Google Cloud
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a success…
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课程 精选 Google Cloud Big Data and Machine Learning Fundamentals
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
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实验 精选 Build a Data Warehouse with BigQuery: Challenge Lab
This challenge labs tests your skills in building a data warehouse using BigQuery.
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实验 精选 Analyze and Visualize Looker Data: Challenge Lab
In this challenge lab, you test your skills to view, filter, and sort data in Looker. You are also asked to save Looks, add them to a dashboard, add them to a board, and schedule regular delivery of data.