Learn how to identify enterprise AI risks and direct mitigation by tracing where bias enters the AI lifecycle, weighing harmful content and intellectual property risks by impact and likelihood, and distinguishing reliability failures such as hallucinations, data quality degradation, and model drift, and matching controls and production monitoring to each risk type.
AI Business - AI Risks and Direct Mitigation Strategies
AI Business - AI Risks and Direct Mitigation Strategies
This course is part of AWS AI Business Strategist Professional Certificate
Instructor: AWS Instructor
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2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Apply risk controls and monitoring mechanisms to AI systems
Differentiate harmful content and intellectual property risks in AI systems, and choose mitigations based on impact and likelihood
Differentiate risks related to AI system reliability (hallucinations, data quality degradation, model drift) and appropriate mitigation strategies
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Recently updated!
October 2026
Assessments
14 assignments
Taught in English
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This course is part of the AWS AI Business Strategist Professional Certificate
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There are 3 modules in this course
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