About this Course

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Flexible deadlines
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Shareable Certificate
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Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
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Intermediate Level
Approx. 23 hours to complete
English

What you will learn

  • Describe data management, governance, and preprocessing options

  • Identify when to use Vertex AutoML, BigQuery ML, and custom training

  • Implement Vertex Vizier Hyperparameter Tuning

  • Explain how to create batch and online predictions, setup model monitoring, and create pipelines using Vertex AI

Skills you will gain

  • Tensorflow
  • Machine Learning
  • Cloud Computing
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. 23 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Content RatingThumbs Up82%(1,801 ratings)
Week1
Week 1
2 minutes to complete

Introduction

2 minutes to complete
1 video (Total 2 min)
24 minutes to complete

Understanding the ML Enterprise Workflow

24 minutes to complete
2 videos (Total 6 min), 1 reading, 1 quiz
2 hours to complete

Data in the Enterprise

2 hours to complete
9 videos (Total 34 min), 1 reading, 2 quizzes
3 hours to complete

Science of Machine Learning and Custom Training

3 hours to complete
8 videos (Total 36 min), 2 readings, 2 quizzes
Week2
Week 2
5 hours to complete

Vertex Vizier Hyperparameter Tuning

5 hours to complete
3 videos (Total 17 min), 1 reading, 3 quizzes
5 hours to complete

Prediction and Model Monitoring Using Vertex AI

5 hours to complete
4 videos (Total 16 min), 1 reading, 3 quizzes
Week3
Week 3
6 hours to complete

Vertex AI Pipelines

6 hours to complete
3 videos (Total 5 min), 2 readings, 3 quizzes
21 minutes to complete

Best Practices for ML Development

21 minutes to complete
5 videos (Total 11 min), 1 reading
2 hours to complete

Course Summary

2 hours to complete
4 readings
23 minutes to complete

Series Summary

23 minutes to complete
1 video (Total 3 min), 1 reading

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