Google Cloud Skills Boost

Data Science on Google Cloud: Machine Learning

1 day Advanced universal_currency_alt 44 Credits
This is the second of two Quests of hands-on labs derived from the exercises from the book Data Science on Google Cloud Platform, 2nd Edition by Valliappa Lakshmanan, published by O'Reilly Media, Inc. In this second Quest, covering chapter 9 through the end of the book, you extend the skills practiced in the first Quest, and run full-fledged machine learning jobs with state-of-the-art tools and real-world data sets, all using Google Cloud tools and services.
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    In this lab, you will need to automate the model building, training, and deployment to the model endpoint by creating a Vertex training pipeline.

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    Real Time Machine Learning with Cloud Dataflow and Vertex AI

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  • info
    Quest Info
    Prerequisites
    This Quest assumes two prerequisites: 1) you have access to the O’Reilly book Data Science on the Google Cloud Platform, as the labs only include the exercises from the end of each chapter and do not contain the concepts or teaching from the text itself. 2) You have already completed the first Quest in this sequence: Data Science on Google Cloud as well as all the prerequisites required for that Quest. WIthout these prerequisites, students will not have the skills or experience needed to succeed here.
    Available languages
    English, português (Brasil), 日本語, français, and español (Latinoamérica)
    What do I do when I finish this quest?
    After finishing this quest, you can explore additional content in your learning path or browse the learning catalog.
    What badges can I earn?
    Upon finishing a quest, you will earn a badge of completion. Some quests test your ability to apply your knowledge via a final assessment challenge lab. For these quests, you will receive a skill badge. Badges can be viewed on your profile and shared with your social network.