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AI Governance Certifications

Certified AI Governance Officer

Builds the AI governance framework — policies, standards, and accountability that guide ethical AI decisions.

Certified AI Management Regulator

Turns governance into day-to-day execution — metrics, controls, operational processes, and incident response.

Certified AI Assurance Auditor

Independently verifies governance works in practice — audits outcomes, tests controls, and reports gaps objectively.

Compare IAIM AI Governance Certifications

Three roles. One governance ecosystem: Policy (CAIGO), Operations (CAIMR),
Assurance (CAIAA).

Feature CAIGO CAIMR CAIAA
Role in the ecosystem Governance policy & accountability (foundation) Operational implementation (execution) Independent verification (assurance)
Best for Governance leaders, policy directors, senior leaders accountable for AI strategy Operations, compliance, AI program managers, implementation leads Internal/external auditors, compliance assessors, risk & governance specialists
What you learn Translate principles into policy, standards, accountability, and pre-deployment governance Turn governance into daily practice: metrics, touchpoints, incident response, culture Audit methodology to evaluate gaps between stated governance and lived outcomes
Study format Self-paced study (manual + supplementary materials) Self-paced study (manual + supplementary materials) Self-paced study (manual + audit workbook + supplementary materials)
CPE hours 35 CPE hours 35 CPE hours 40 CPE hours
Exam 100 multiple-choice • 3 hours • Proctored online 100 multiple-choice • 3 hours • Proctored online 100 multiple-choice • 3 hours • Proctored online
Passing score 85% 85% 85%
Time to complete 90 days from purchase to complete exam 90 days from purchase to complete exam 90 days from purchase to complete exam
Certification validity Valid for 3 years Valid for 3 years Valid for 3 years
Renewal requirement 60 CPE per cycle + 4 ethics CPE annually 60 CPE per cycle + 4 ethics CPE annually 60 CPE per cycle + 4 ethics CPE annually
Included materials Certification manual
Instructor slide deck
Practice questions
Quick reference cards
Certification manual
Instructor slide deck
Practice questions
Quick reference cards
Certification manual
Instructor slide deck
Enterprise AI Audit Workbook (Excel)
Workbook user manual
Practice questions
Quick reference cards
Prerequisites None (governance experience recommended) None (operations/compliance experience recommended) None (audit/governance experience recommended)
Core topics (highlights) Derivative & Daisy Chain principles • Vacancy Problem • Tool vs Role
Four AI Categories • Authority Levels 1–4 • Seven Domains of Ethical AI Architecture
Policy development • Accountability architecture • Pre-deployment review
Derivative & Daisy Chain principles • Vacancy Problem • Tool vs Role
Four AI Categories • Authority Levels 1–4 • Seven Domains of Ethical AI Architecture
Metrics design • Human touchpoints • Incident response • Ethical AI culture
Derivative & Daisy Chain principles • Vacancy Problem • Tool vs Role
Four AI Categories • Authority Levels 1–4 • Seven Domains of Ethical AI Architecture
Audit methodology • Evidence categories • Control questions framework • Findings/reporting
Exam domains Philosophical Foundations (20%) • Classification (20%) • Seven Domains (40%) • Governance Application (20%) Philosophical Foundations (20%) • Classification (20%) • Seven Domains (40%) • Operational Application (20%) Philosophical Foundations (15%) • Classification (15%) • Seven Domains (30%) • Methodology (20%) • Standards (10%) • Workbook (10%)
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