Google Cloud
Self Service ML Pipelines Using Dataprep and AutoML Tables
Google Cloud

Self Service ML Pipelines Using Dataprep and AutoML Tables

Taught in English

Included with Coursera Plus

Project

Build in-demand job skills with step-by-step instructions

Intermediate level
Some related experience required
1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you'll learn

  • Declare a target schema in Dataprep. Define data quality rules to declare what "clean data" looks like.

  • Build a recipe to clean and transform data. Create parameterized datasets for sources and targets.

  • Invoke the data pipeline (flow) from plans for training and inference.

  • Use webhooks to call the AutoML Tables API and execute batch predictions.

Details to know

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Project

Build in-demand job skills with step-by-step instructions

Intermediate level
Some related experience required
1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
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About this project

Instructor

Google Cloud Training
Google Cloud
1,293 Courses2,431,887 learners

Offered by

Google Cloud

How you'll learn

  • Hands-on, project-based learning

    Practice new skills by completing job-related tasks with step-by-step instructions.

  • No downloads or installation required

    Access the tools and resources you need in a cloud environment.

  • Available only on desktop

    This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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