About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
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Beginner Level

General understanding of ML and AI. Basic knowledge of HTML, JS, and CSS is an advantage

Approx. 17 hours to complete
English

What you will learn

  • Understand the applicability, benefits and limits of the crowdsourcing approach

  • Integrate an on-demand workforce directly into your processes and build human-in-the-loop processes

  • Control the quality and accuracy of data labeling to develop high performing ML models

  • Design and run a full-cycle crowdsourcing project: from planning to getting labeled data

Skills you will gain

Data ScienceData LabelingMachine LearningData Collectioncrowdsourcing
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

General understanding of ML and AI. Basic knowledge of HTML, JS, and CSS is an advantage

Approx. 17 hours to complete
English

Offered by

Placeholder

Yandex

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Introduction to crowdsourcing

2 hours to complete
10 videos (Total 37 min), 3 readings, 1 quiz
Week
2

Week 2

2 hours to complete

Instructions and interfaces

2 hours to complete
8 videos (Total 37 min), 5 readings, 1 quiz
Week
3

Week 3

2 hours to complete

Quality control

2 hours to complete
9 videos (Total 37 min), 5 readings, 1 quiz
Week
4

Week 4

3 hours to complete

Smart techniques to enhance quality

3 hours to complete
9 videos (Total 51 min), 5 readings, 1 quiz

Frequently Asked Questions

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