This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.

Responsible AI for Developers: Fairness & Bias

Responsible AI for Developers: Fairness & Bias
This course is part of Responsible AI for Developers Specialization

Instructor: Google Cloud Training
Access provided by Seminole State College
Gain insight into a topic and learn the fundamentals.
18 reviews
Intermediate level
Some related experience required
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Define what is Responsible AI
Identify Google’s AI principles
Describe what AI fairness and bias mean
Explain how to identify and mitigate biases through data and modeling
Details to know

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Assessments
2 assignments
Taught in English
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Build your subject-matter expertise
This course is part of the Responsible AI for Developers Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 5 modules in this course
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