FaizZab Academy
AI Risk Management Practitioner
Assess and treat AI risk in practice - failure modes, evaluation evidence, human oversight design, third-party model dependency and monitoring.
Overview
What this programme covers
A focused programme on AI risk itself: how it differs from conventional technology risk, how it is assessed with evidence, and how treatment decisions are made and recorded.
Intended learning outcomes
- Distinguish AI-specific risk from general IT and information security risk
- Assess model and system risk with defined, comparable criteria
- Design proportionate human oversight and escalation
- Evaluate dependency on third-party and foundation models
- Define monitoring thresholds and act on drift and incidents
Who it is for
- Risk practitioners extending coverage to AI
- AI governance leads and reviewers
- Internal auditors assessing AI systems
Structure
Planned modules
- Module 01
AI risk landscape
Failure modes, harm pathways and affected parties.
- Module 02
Assessment method
Criteria, evidence sources and comparability.
- Module 03
Evaluation and testing evidence
What evidence supports a risk conclusion.
- Module 04
Human oversight design
Meaningful review, override and escalation.
- Module 05
Third-party model risk
Dependency, opacity and vendor change.
- Module 06
Monitoring and response
Drift, incidents, thresholds and corrective action.
Important
Programme content is in development. Join the launch list to be notified when enrolment opens. FaizZab Academy is coming soon. FaizZab does not currently issue any qualification, certification or accredited award, and no completion or outcome rates are claimed.
Join the launch list
We will notify you when this programme opens for enrolment.
Or email info@faizzab.com · Telephone +91 91757 68019