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Responsible AI for Developers: Fairness & Bias
This course is part of Responsible AI for Developers - Specialization.
Course Cost
Free course
Intermediate
Skill Level
3 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Responsible AI for Developers Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
English
What you'll learn
Define responsible AI principles and practices
Identify various types of AI bias and fairness issues
Use Google Cloud tools to detect and measure bias
Implement bias mitigation strategies in ML models
Apply responsible AI practices to real-world cases
Skills you'll gain
This course includes:
1.2 Hours PreRecorded video
2 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This course introduces developers to the fundamental concepts of responsible AI development, with a focus on fairness and bias in AI systems. Students learn practical techniques for identifying and mitigating bias using Google Cloud products and open source tools. The curriculum covers Google's AI principles, case studies of responsible AI implementation, and hands-on experience with tools like TFDV, What-if Tool, and TFMA. Through practical labs and exercises, participants learn to implement bias mitigation strategies using TensorFlow and other industry-standard tools.
Course Introduction
Module 1 · 0 Minutes to complete
Introduction to Responsible AI
Module 2 · 35 Minutes to complete
AI Fairness & Bias
Module 3 · 2 Hours to complete
Course Summary
Module 4 · 12 Minutes to complete
Course Resources
Module 5 · 40 Minutes to complete
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Faculties
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Frequently asked Questions
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