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AI Risk Management Masterclass 2026: NIST AI RMF & ISO 42001
Role Play
110 students
AI Risk Management Masterclass 2026: NIST AI RMF & ISO 42001
Get AIRMP Certified. Master AI Governance, Risk Assessment, Responsible AI Compliance, and EU AI Act Frameworks.
Created bySachin Aggarwal
Last updated 9/2026
English
English [Auto],
What you'll learn
- Master AI Risk Management by applying the NIST AI Risk Management Framework (AI RMF) and ISO/IEC 42001 standards to enterprise technology programs.
- Prepare for the AIRMP Certification exam using full-length practice tests, immersive corporate role-plays, and target section quizzes.
- Establish Enterprise AI Governance blueprints, map roles and responsibilities, build risk registers, and report key metrics to executive boards.
- Mitigate Generative AI Risks including prompt injections, model hallucinations, deepfakes, copyright liabilities, and autonomous agentic systems.
- Audit AI Systems for Compliance with global frameworks, focusing on EU AI Act requirements for high-risk machine learning applications.
- Identify Lifecycle AI Vulnerabilities across data engineering pipelines, model training environments, deployment phases, and ongoing monitoring.
- Evaluate Algorithmic Bias and Fairness while establishing Explainable AI (XAI) and human-in-the-loop controls to prevent systemic discrimination.
- Execute Qualitative and Quantitative Assessments using advanced AI risk scoring models to protect corporate reputation and customer data privacy.
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Course content
13 sections • 106 lectures • 14h 19m total length
Requirements
- No advanced programming or data science background required; the course covers foundational AI, machine learning, and neural network basics from scratch.
- A basic understanding of traditional risk management, corporate governance, compliance, IT security, or business project lifecycles is helpful.
- Only a computer with an internet connection is needed to access the complete syllabus, section quizzes, interactive role-plays, and practice tests.
Description
This course contains the use of artificial intelligence.,
The Definitive A-to-Z Masterclass to Dominate Enterprise AI Governance & Ace the AIRMP Certification.
As artificial intelligence scales globally, organizations desperately need qualified professionals capable of identifying, assessing, and mitigating the complex vulnerabilities introduced by Machine Learning, Deep Learning, and Generative AI.
Whether you are looking for a comprehensive general education path to understand AI compliance or are aggressively tracking towards passing the AI Risk Manager (AIRMP) Certification, this masterclass is engineered for you. Built from the ground up for all learning levels, it requires no advanced programming background.
This course serves as your complete blueprint for aligning enterprise technology programs with the world's leading standards: the NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, and the EU AI Act.
Why This Masterclass is Your Unfair Advantage
Go beyond text-heavy theory. This program features 13 practical Scenario Studies mapping real-world corporate crises—ranging from toxic AI chatbot liabilities and algorithmic loan discrimination to data privacy exposure during model training.
Your Learning Kit Includes:
Comprehensive Syllabus: 13 highly structured sections spanning foundational AI basics up to executive board-level reporting.
Section Quizzes: Targeted checks at the end of every section to reinforce critical definitions.
3 Immersive Role-Plays: Practical, scenario-driven interactive assets designed to simulate real corporate compliance crises.
1 Full-Length AIRMP Practice Test: Fully updated practice exam simulating the core certification pillars.
What You Will Master:
AI Risk Identification & Assessment: Build robust AI Risk Registers, apply quantitative metrics, and develop advanced AI risk scoring models.
Framework Implementation: Master the complete lifecycle architecture of NIST AI RMF (Govern, Map, Measure, Manage) and ISO 42001.
Bias, Fairness & Explainable AI (XAI): Uncover algorithmic discrimination and implement human-in-the-loop oversight workflows.
Generative AI Security: Prevent prompt injections, adversarial attacks, deepfakes, copyright liabilities, and autonomous agentic AI system hazards.
Auditing & Compliance: Conduct thorough internal AI audits, gather regulatory evidence, and structurally prepare for formal inspector reviews.
Who Is This Course For?
General Professionals & Managers looking for a solid foundational understanding of AI's emerging risk landscapes.
Risk & Compliance Teams striving to secure enterprise operations against regulatory liabilities and brand damage.
Data Scientists & Engineers transitioning into AI Policy and Responsible AI Governance roles.
Certification Candidates looking for a definitive guide to passing the AI Risk Manager (AIRMP) exam.
Don't leave your organization or your career vulnerable to unmitigated AI failures. Master the high-demand strategies required to safely deploy AI in the enterprise.
Enroll now and launch your AI Risk Management journey today!
Who this course is for:
- Aspiring AI risk professionals looking for an accessible, code-free introduction to machine learning foundations and enterprise frameworks.
- Beginners, business professionals, and students curious about AI governance, risk principles, compliance systems, and responsible AI practices.