Coming soonAI GovernanceAdvancedProfessional ServicesTechnology

Spotting and Controlling AI Risk in Everyday Business Decisions

AI Governance, Risk & Compliance Track · Certified AI Risk Practitioner

Most AI risk assessment in practice is a form-filling exercise that produces a rating nobody trusts and controls nobody implements. This course teaches a different method: identify the specific ways a particular system can fail, work out what that failure would cost and to whom, and design the control that would catch it. Learners work with the NIST AI Risk Management Framework as the organising structure, because it is the most widely adopted and maps cleanly onto both India's risk categories and ISO 42001 requirements. The emphasis is on the skill business users most lack and most need: interrogating a technical claim without technical training, and knowing which answers should not satisfy them.

15 modules

What you'll master

Learning objectives

01Run a structured AI risk assessment that produces implementable controls
02Interrogate a vendor or data science team's claims without technical training
03Distinguish risks that controls can mitigate from risks that require not proceeding
04Apply algorithmic due diligence as Rule 13 requires it
05Monitor a deployed AI system for the drift and degradation that reintroduce risk
06Present an AI risk position to a governance committee with a clear recommendation

Skills gained

NIST AI 600-1 Generative AI ProfileMeitY risk categoriesITHR AI Failure Mode LibraryNIST AI RMF 1.0NIST AI RMF PlaybookISO/IEC 42001DPDP Rules 2025 Rule 13NIST AI RMF Map function

Curriculum

15-module program

Full curriculum in preparation

This course is being written now by the ITHR editorial team. Join the waitlist and we'll notify you the moment the full syllabus, hands-on labs, and certification exam are live. No enrollment is accepted until publication.