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Codecademy

AI Risk Management The NIST Way

via Codecademy Path

Overview

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Develop AI governance skill using NIST RMF for policymakers, data scientists, and managers covering principles, practices, and risk management applications.

Syllabus

  • AI Risk Management: The NIST Way
    • <p>In this track, you will gain a foundational understanding of the NIST AI RMF, its structure, key concepts, and how it supports trustworthy and responsible AI. You will also learn to establish effective AI governance structures and systematically identify and map risks across the AI lifecycle. You will explore methodologies and tools for quantifying and evaluating AI risks, including technical, ethical, and operational dimensions.</p> <p>You will discover practical strategies to mitigate and manage identified risks, ensuring AI systems operate within acceptable thresholds, understand the evolving regulatory landscape and how to align AI systems with national and international compliance requirements. you will also dive into real-world scenarios demonstrating the successful application of AI risk management practices, and also explore how machine learning techniques can be applied to detect, predict, and manage risk in AI-driven environments.</p>

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