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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 • Online 100 multiple-choice • 3 hours • Online 100 multiple-choice • 3 hours • 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 1 year Valid for 1 year Valid for 1 year
Renewal requirement Exam + 10 CPE annually Exam + 10 CPE annually Exam + 10 CPE annually
Included materials Certification manual
Practice questions
Certification manual
Practice questions
Certification manual
Enterprise AI Audit Workbook (Excel)
Practice questions
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%)
Details View CAIGO View CAIMR View CAIAA

IAIM Association

Recertification Program

IAIM Association Recertification helps you keep your IAIM certification designations current and active.

As a certified professional in Artificial Intelligence Governance and Management, you are recognized as a leader within your organization and across the AI governance community.

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