About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
Start instantly and learn at your own schedule.
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.
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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