About this Course

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Shareable Certificate
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Beginner Level
Approx. 13 hours to complete
English

What you will learn

  • Explore common machine learning use cases implemented by businesses.

  • Assess the feasibility of your own ML use case and its ability to meaningfully impact your business.

  • Identify the requirements to build, train, and evaluate an ML model.

  • Define data characteristics and biases that affect the quality of ML models and recognize key considerations for managing ML projects.

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

Content RatingThumbs Up94%(9,106 ratings)
Week
1
Week 1
17 minutes to complete

Module 1: Introduction

17 minutes to complete
1 video (Total 5 min), 2 readings
1 hour to complete

Module 2: Identifying business value for using ML

1 hour to complete
4 videos (Total 25 min), 1 reading, 1 quiz
Week
2
Week 2
1 hour to complete

Module 3: Defining ML as a practice

1 hour to complete
9 videos (Total 42 min), 1 reading, 1 quiz
3 hours to complete

Module 4: Building and evaluating ML models

3 hours to complete
6 videos (Total 56 min)
Week
3
Week 3
3 hours to complete

Module 5: Using ML responsibly and ethically

3 hours to complete
6 videos (Total 31 min)
3 hours to complete

Module 6: Discovering ML use cases in day-to-day business

3 hours to complete
6 videos (Total 45 min), 1 reading, 2 quizzes
Week
4
Week 4
2 hours to complete

Module 7: Managing ML projects successfully

2 hours to complete
7 videos (Total 48 min)
8 minutes to complete

Module 8: Summary

8 minutes to complete
1 video (Total 8 min)

Reviews

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About the Digital Transformation Using AI/ML with Google Cloud Specialization

Digital Transformation Using AI/ML with Google Cloud

Frequently Asked Questions

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