Learn to implement ethical and transparent AI practices in your machine learning projects using tools built into Amazon SageMaker AI.
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.
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https://www.linkedin.com/learning/responsible-ai-with-amazon-sagemaker-ai