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Smart Analytics, Machine Learning, and AI on Google Cloud

Smart Analytics, Machine Learning, and AI on Google Cloud

magic_button AutoML
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7 个小时 中级 universal_currency_alt 25 个积分

Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.

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info
课程信息
目标
  • Differentiate between ML, AI and deep learning.
  • Discuss the use of ML API’s on unstructured data.
  • Execute BigQuery commands from notebooks.
  • Create ML models by using SQL syntax in BigQuery.
  • Create ML models without coding using Vertex AI AutoML.
前提条件
To benefit from this course, participants should have completed “Google Cloud Big Data and Machine Learning Fundamentals” or have equivalent experience.
受众
Data Engineers
支持的语言
English, español (Latinoamérica), 日本語, français, português (Brasil), italiano, and 한국어
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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
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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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