About this Course

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Coursera Labs
Includes hands on learning projects.
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Intermediate Level
Approx. 13 hours to complete
English

What you will learn

  • Use the Vertex AI Feature Store

  • Describe how to move from raw data to features

  • Perform Feature Engineering in BigQuery ML and Keras

  • Preprocess features using Apache Beam and Cloud DataFlow

    Use tf.Transform

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level
Approx. 13 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Content RatingThumbs Up86%(2,381 ratings)
Week1
Week 1
1 minute to complete

Module 0: Introduction

1 minute to complete
1 video (Total 1 min)
3 hours to complete

Module 1: Introduction to Vertex AI Feature Store

3 hours to complete
8 videos (Total 33 min), 1 reading, 2 quizzes
1 hour to complete

Module 2: Raw Data to Features

1 hour to complete
9 videos (Total 43 min), 1 reading, 1 quiz
Week2
Week 2
6 hours to complete

Module 3: Feature Engineering

6 hours to complete
12 videos (Total 35 min), 1 reading, 5 quizzes
Week3
Week 3
1 hour to complete

Module 4: Preprocessing and Feature Creation

1 hour to complete
3 videos (Total 10 min), 1 reading, 1 quiz
26 minutes to complete

Module 5: Feature Crosses - TensorFlow Playground

26 minutes to complete
5 videos (Total 4 min), 1 reading, 1 quiz
3 hours to complete

Module 6: Introduction to TensorFlow Transform

3 hours to complete
6 videos (Total 20 min), 1 reading, 2 quizzes
1 hour to complete

Module 7: Summary

1 hour to complete
4 readings

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