Responsible AI with Amazon SageMaker AI
With Kesha Williams
Liked by 11 users
Duration: 1h 20m
Skill level: Intermediate
Released: 3/4/2025
Course details
This course covers key topics such as detecting bias in datasets and models, explaining model predictions, and integrating responsible AI practices into your ML workflows using Amazon SageMaker Clarify. Gain hands-on experience with SageMaker's governance tools, including Role Manager, Model Cards, and Model Dashboard, to manage permissions, document models, and monitor performance. By the end of this course, you'll be equipped with the skills you need to build fairer, more explainable AI models and ensure compliance with ethical standards in AI. Whether you’re a data scientist, ML engineer, or technical leader, instructor Kesha Williams covers the essentials of practicing responsible AI in your organization.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
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