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AI Model Risk Management

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Coursera

AI Model Risk Management

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 hour to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 hour to complete
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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There is 1 module in this course

AI models create value, but they also create risks — from data drift and bias to regulatory non-compliance. In this short, practical course, you’ll learn how to make those risks visible, measurable, and governable. First, you’ll explore the main categories of model risk and practice mapping them to governance controls and KPIs. Next, you’ll learn how to evaluate model validation results against standards such as SR 11-7, the Basel Principles, and the EU AI Act, identifying compliance gaps and recommending corrective actions. Finally, you’ll draft a simple model-risk control framework with clear documentation standards, escalation paths, and review cadences. By the end, you’ll be able to demonstrate governance skills that help organizations deploy AI responsibly and maintain trust.

What's included

5 videos3 readings4 assignments

Instructor

ansrsource instructors
Coursera
5 Courses161 learners

Offered by

Coursera

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