Responsible AI Risk Management using NIST AI Framework
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Responsible AI Risk Management using NIST AI Framework

Master the NIST Framework for Ethical and Reliable AI Systems

Language: ENGLISH

Instructors: Dr Rakesh Agarwal

Validity Period: 120 days

$150 16.67% OFF

$125

1% Cashback as Smart Online Course Coins

Why this course?

Description

AI is transforming industries- but without responsible risk management, it can also amplify bias, harm, and non-compliance.

Responsible AI Risk Management using the NIST AI Framework is a 9-hour professional certificate course that helps you build, audit, and govern AI systems aligned with global trust and safety standards.

Through 7 structured modules, this course demystifies the NIST AI Risk Management Framework (AI RMF)-covering principles, structure, and application through real-world case studies from banking, insurance, fintech, and HR analytics.

Learners gain the skills to assess bias, manage explainability, design mitigation plans, and align AI governance with international laws like the EU AI Act, OECD Principles, and India’s DPDP framework.

Problem Statement

Most organizations adopt AI without a clear governance roadmap, leading to reputational, ethical, and regulatory risks.

Compliance teams, risk professionals, and data scientists often work in silos—without a shared framework for managing AI accountability, transparency, and trust.

This course bridges that gap by translating the NIST AI RMF into a practical, hands-on implementation approach for professionals in BFSI, technology, and corporate governance sectors.

What You’ll Learn

Understand the principles and structure of the NIST AI Risk Management Framework (MAP–MEASURE–MANAGE–GOVERN)

  • Identify and map AI risk contexts—from fairness and bias to privacy, explainability, and human oversight
  • Quantify and measure risks using scorecards, audits, and model cards
  • Develop and implement AI mitigation and response strategies aligned to organizational governance
  • Interpret and apply global regulations like the EU AI Act, OECD guidelines, and India’s DPDP Act
  • Explore real-world case studies across BFSI, insurance, and HR use cases
  • Learn to build AI governance checklists, risk registers, and bias detection frameworks
  • Gain access to NIST toolkits, templates, and open-source AI audit tools

🎯 Who Should Enroll

  • Risk, compliance, and audit professionals in BFSI and technology sectors
  • AI & data governance teams seeking structured implementation frameworks
  • Policy, ethics, and L&D professionals responsible for AI oversight
  • Consultants and faculty in AI governance and corporate risk
  • MBA, data science, and law students aspiring to specialize in Responsible AI

🕒 Course Format & Duration

  • 9 hours of expert-led content (7 core modules + toolkit module)
  • 100% online and self-paced learning
  • Real-world case studies from banking, insurance, and corporate HR
  • Certificate of Completion included
  • Includes downloadable resources—toolkits, glossaries, comparison charts, and audit checklists

🔍 Why This Course Is Unique

  • Based entirely on the NIST AI Risk Management Framework (2023)
  • Integrates global regulatory alignment with practical implementation tools
  • Combines technical, ethical, and legal perspectives for cross-functional teams
  • Includes toolkits, templates, and case-based assignments
  • Ideal for professionals implementing Responsible AI and compliance frameworks

📣 Enroll Now

Master the principles of Responsible AI and become a trusted voice in the age of algorithmic accountability.

Enroll today in “Responsible AI Risk Management using the NIST AI Framework” and learn to build AI systems that are ethical, explainable, and compliant with global standards.

Course Curriculum

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