About this Course

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Flexible deadlines
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
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Beginner Level
Approx. 13 hours to complete
English

What you will learn

  • Describe Vertex AI Platform and how it's used to quickly build, train,and deploy AutoML machine learning models without writing a single line of code

  • Describe best practices for implementing machine learning on Google Cloud

  • Leverage Google Cloud Platform tools and environment to do ML

  • Articulate Responsible AI best practices

Skills you will gain

  • Application Programming Interfaces (API)
  • Inclusive ML
  • Machine Learning
  • Google Cloud Platform
  • Bigquery
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
Beginner Level
Approx. 13 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

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Week1
Week 1
4 minutes to complete

Introduction to Course and Series

4 minutes to complete
2 videos (Total 4 min)
1 hour to complete

What It Means to be AI-First

1 hour to complete
7 videos (Total 35 min), 2 readings, 1 quiz
1 hour to complete

How Google Does ML

1 hour to complete
7 videos (Total 31 min), 1 reading, 1 quiz
Week2
Week 2
6 hours to complete

Machine Learning Development with Vertex AI

6 hours to complete
9 videos (Total 41 min), 1 reading, 3 quizzes
Week3
Week 3
3 hours to complete

Machine Learning Development with Vertex Notebooks

3 hours to complete
4 videos (Total 19 min), 1 reading, 2 quizzes
19 minutes to complete

Best Practices for Implementing Machine Learning on Vertex AI

19 minutes to complete
4 videos (Total 11 min)
1 hour to complete

Responsible AI Development

1 hour to complete
7 videos (Total 33 min), 1 reading, 1 quiz
2 hours to complete

Summary

2 hours to complete
4 readings

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