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02

Google Cloud Big Data and Machine Learning Fundamentals

02

Google Cloud Big Data and Machine Learning Fundamentals

magic_button MLOps Data Streaming Pub/Sub
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5 个小时 入门级

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.

技能徽章通过动手实验和挑战赛形式的评估,检验您对特定产品的实际知识掌握情况。完成课程即可获得徽章,也可直接参加实验室挑战赛,快速获得徽章。徽章可证明您掌握技能的熟练程度,提升您的专业形象,最终助您获得更多职业机会。欢迎访问您的个人资料,并跟踪您已获得的徽章。

info
课程信息
目标
  • Identify the data-to-AI lifecycle on Google Cloud and the major products of big data and machine learning.
  • Design streaming pipelines with Dataflow and Pub/Sub.
  • Analyze big data at scale with BigQuery.
  • Identify different options to build machine learning solutions on Google Cloud.
  • Describe a machine learning workflow and the key steps with Vertex AI.
  • Build a machine learning pipeline using AutoML.
前提条件
N/A
受众
Data Analysts, Data Engineers, Data Scientists, and ML Engineers who are getting started with Google Cloud
支持的语言
English, español (Latinoamérica), 日本語, 한국어, français, português (Brasil), українська, and italiano
学完本课程后,我可以做些什么?
学完本课程后,您可以探索学习路线 中的其他内容或浏览学习目录
我能获得什么徽章?
学完一门课程后,您将获得结业徽章。徽章可在个人资料中供查看,还可在社交网络上分享。
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