GAMTS Certified AI Governance Leader (GAMTS-GAGL)

Schedule an Exam Exam Fee: $599
Exam Retake fee: $199

Overview

Master Generative AI & Prompt Engineering

GAMTS Certified AI Governance Leader (GAMTS-GAGL) is a professional-level certification designed for senior executives, governance officers, and leaders accountable for how AI is governed inside organizations.

CERTIFICATION PURPOSE & VALUE

Strategic Purpose

Goal: Equip executive leaders to design, implement, and oversee enterprise-grade AI governance that is:

  • Aligned with business strategy and risk appetite

  • Compliant with global regulations (EU AI Act, GDPR, sectoral requirements)

  • Aligned with international standards (NIST AI RMF, ISO 42001, ISO 27001)

  • Grounded in ethical principles (fairness, accountability, transparency, safety, privacy)

  • Operationally practical and scalable

Core Value Propositions

After earning GAMTS-GAGL, you will be able to:

✓ Design an AI governance operating model (centralized, federated, hybrid) tailored to your organization
✓ Establish policies, standards, and decision rights for the full AI lifecycle
✓ Align Board, C-Suite, Risk, Compliance, and Technology around a coherent governance framework
✓ Operationalize NIST AI RMF and ISO 42001 in business-friendly, practical ways
✓ Lead your organization toward EU AI Act readiness and ongoing compliance
✓ Communicate clearly with regulators, auditors, and the board on AI governance posture
✓ Reduce regulatory, legal, and reputational risk from AI failures or bias incidents
✓ Empower your organization to innovate responsibly with AI at scale

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WHY CHOOSE GAMTS-GAGL?

GAMTS-GAGL is built for senior leaders accountable for AI governance at the enterprise level.

This certification bridges the gap between technical AI knowledge and executive governance responsibility. It provides a structured framework for building, operating, and scaling AI governance functions aligned with international standards (NIST AI RMF, ISO/IEC 42001) and emerging regulations (EU AI Act, GDPR, sectoral rules).

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Governance Framework Design

-Design and document an AI governance framework that integrates with enterprise governance, risk, and compliance (GRC)

-Define clear roles, responsibilities, and decision rights (RACI) across business, technology, and risk functions

-Establish governance bodies (Steering Committee, Ethics Committee, Risk Committee, Technical Review Board) with charters and authority

-Create escalation paths and incident response playbooks for AI-related issues

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Regulatory & Standards Competency:

-Map your current AI portfolio to EU AI Act risk tiers and identify required compliance controls

-Explain and apply the NIST AI RMF four functions (GOVERN, MAP, MEASURE, MANAGE) to real AI systems

-Translate ISO/IEC 42001 control requirements into practical processes, templates, and checklists

-Assess organizational readiness for certification (ISO 42001, EU conformity assessment)

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Risk & Accountability

-Classify AI systems by risk tier and enforce appropriate tiered requirements for testing, documentation, and human oversight

-Design Board reporting structures for AI risk, compliance, and incidents (dashboards, KPIs, escalation thresholds)

-Create policy frameworks for model validation, fairness testing, privacy compliance, and incident response

-Establish continuous monitoring systems with alerts for performance degradation, fairness drift, or compliance violations

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Leadership & Organizational Change

-Lead cross-functional stakeholders through governance adoption and cultural change

-Make informed trade-offs between innovation speed and control

-Build executive-level AI literacy and accountability

-Act as a trusted counterpart to regulators, auditors, and external stakeholders

The exam assesses knowledge across Five core domains:

Detailed Domain-Wise Curriculum for GAMTS-GAGL Certifications Exam

1.1 Governance Models & Organizational Structures (6%)

  • Centralized AI governance model

  • Federated AI governance model

  • Hybrid/Matrix AI governance model

  • Role mapping to existing functions

  • RACI matrix development

1.2 AI Governance Policies & Standards (6%)

  • Core AI governance policies framework

  • AI strategy & objectives policy

  • AI risk classification & tiering

  • AI development & deployment standards

  • Model monitoring & lifecycle management

  • Data governance for AI

  • AI ethics & responsible AI policy

1.3 Governance Bodies & Decision Rights (5%)

  • AI Steering Committee (Executive level)

  • AI Ethics Committee (Operational level)

  • AI Risk Committee (Risk management)

  • Technical Review Board (Design/Architecture)

  • Escalation paths and decision-making protocols

1.4 Board & Regulatory Engagement (5%)

  • Board-level responsibilities and oversight

  • Quarterly board reporting & dashboard

  • Regulatory engagement strategy

  • Compliance timeline and milestones

  • Stakeholder communication

2.1 GOVERN Function: Risk Governance Infrastructure (6%)

  • Leadership and accountability structures

  • Organizational policies and standards

  • Organizational culture for responsible AI

  • Cross-functional coordination

  • Risk management processes

2.2 MAP Function: Risk Context & Characterization (5%)

  • AI system context mapping

  • Stakeholder impact assessment

  • Risk source identification

  • Risk scenario characterization

  • Impact analysis and severity assessment

2.3 MEASURE Function: Performance & Risk Assessment (6%)

  • Performance metrics by risk tier

  • Fairness assessment across demographic groups

  • Fairness metrics and testing frameworks

  • Bias audit procedures and reporting

  • Performance tracking and thresholds

2.4 MANAGE Function: Risk Mitigation & Control (5%)

  • Risk mitigation strategies (technical, process, organizational)

  • Control implementation by risk tier

  • Continuous monitoring and alerts

  • Incident response procedures

  • Risk remediation and escalation

3.1 ISO 42001 Standard Overview & Requirements (5%)

  • ISO 42001 purpose and scope

  • ISO 42001 structure and requirements

  • Integration with ISO 27001 (Information security)

  • Applicability across industries and regions

  • 46 AI Management System Controls framework

3.2 AI Lifecycle Management & Controls (5%)

  • Stage 1: AI System Planning & Design

  • Stage 2: Data Preparation & Management

  • Stage 3: Model Development & Training

  • Stage 4: Model Validation & Testing

  • Stage 5: Deployment & Monitoring

  • Stage 6: Model Monitoring & Retraining

  • Stage 7: Model Retirement & Decommissioning

3.3 ISO 42001 Risk & Opportunity Management (8%)

  • Technical risks (bias, degradation, attacks, interpretability)

  • Data risks (quality, bias, privacy, breaches)

  • Process risks (testing, monitoring, documentation)

  • Organizational risks (governance, skills, resources)

  • External/Regulatory risks (regulation, reputation, legal)

  • Risk assessment methodology

  • Risk characterization and prioritization

  • Risk mitigation planning and monitoring

4.1 EU AI Act: Risk-Based Compliance Framework (6%)

  • EU AI Act overview and implementation timeline

  • Prohibited AI practices (Tier 1)

  • High-risk AI classification (Tier 2)

  • High-risk AI compliance obligations

  • Data governance and fairness requirements

  • Testing, validation, and human oversight

  • Conformity assessment and CE marking

4.2 Regulatory Landscape & Emerging Requirements (5%)

  • United States: Sector-specific regulation (EEOC, FCRA, FDA, SEC)

  • United Kingdom: Regulatory sandboxes and flexible approach

  • China: Algorithmic accountability and content control

  • Singapore & ASEAN: Innovation-friendly frameworks

  • Financial services regulation

  • Healthcare and FDA requirements

  • Government and law enforcement regulations

4.3 Compliance Strategy & Roadmap (7%)

  • AI systems inventory and categorization

  • Gap analysis (current state vs. required state)

  • Prioritization framework (regulatory risk × implementation effort)

  • 12-month compliance roadmap

  • Quarterly milestones and deliverables

  • Compliance monitoring and reporting

5.1 AI Strategy & Business Alignment (5%)

  • Strategic AI opportunity identification

  • AI value creation drivers (revenue, cost, risk)

  • AI opportunity prioritization and portfolio management

  • Value-risk matrix analysis

  • Business case development for AI investments

5.2 Change Management & Stakeholder Engagement (5%)

  • Stakeholder mapping and engagement strategies

  • Board of directors communication

  • Executive team coordination

  • Business unit leader involvement

  • Employee (technical and non-technical) engagement

  • Customer and user transparency

  • Regulator and external stakeholder engagement

  • Kotter's 8-step change management model applied to AI

5.3 AI Leadership Competencies & Development (4%)

  • Technical acumen for leaders (understanding, not mastery)

  • Strategic thinking and long-term vision

  • Ethical judgment and values alignment

  • Change leadership and communication

  • Stakeholder management and influence

  • Continuous learning and development

Continuous Updates: Curriculum and study guide updated annually to meet market changes

Official GAMTS-GAGL Study Guide (Included with Bundle)

Exam Fee:

Certification Cost

GAMTS-GAGL Enrollment: $599 USD

Exam Retake Policy

First attempt included. Retakes cost $199 each (first retake typically successful for 85%+ of candidates).

Prerequisite: GAMTS-AIFA or equivalent; 3+ years governance/risk/compliance/tech leadership

Audience

Who Should Take This Exam?

GAMTS-GAGL is built for senior leaders accountable for AI governance at the enterprise level.

You should pursue this certification if you:

  • Are asked by your Board or CEO to “own AI governance” or “set up AI oversight”

  • Are responsible for aligning AI initiatives with governance, ethics and regulation

  • Need to establish or strengthen:

    • AI Governance Committee

    • AI Ethics Committee

    • AI Risk/Model Risk Committee

    • Enterprise AI Center of Excellence (CoE)

  • Must communicate AI risks and compliance to regulators, auditors, or the board

  • Want to position your organization as responsible and credible in AI

RoleRelevance
Chief AI Officer (CAIO)Primary owner of AI governance; must design frameworks
Chief Data Officer (CDO)Often has governance mandate alongside data
Chief Technology Officer (CTO)Oversees AI and governance infrastructure
Chief Risk Officer (CRO)Extends risk management to AI systems
Chief Compliance Officer (CCO)Ensures regulatory and policy compliance
Head of AI Governance / Responsible AI OfficeDedicated governance role; core constituency
Head of Corporate Governance / Enterprise RiskIntegrating AI into broader governance
Chief Legal Officer / Senior CounselAI-specific regulatory and policy work
Board Member / Committee ChairSeeking structured AI governance competence
Internal Audit LeaderAuditing AI systems and governance controls

Exam Pattern

Process

To maintain the integrity and quality of GAMTS certifications, purchasing the Official Study Guide + Exam Voucher Bundle is mandatory.

  • check-list1
    Step 1

    Purchase Bundle

    Buy the Official GAGL Study Guide + Exam Voucher Bundle on this page. Instant download of study materials and exam voucher to your GAMTS account.
  • check-list1
    Step 2

    Prepare & Write Exam

    Use the comprehensive guide to prepare at your own pace (no training sessions required). Complete the 90 minute online exam from any location with secure proctoring.
  • check-list1
    Step 3

    Receive Results & Certificate

    Upon passing, receive your GAMTS-GAGL certificate via email within 5-7 days

Get GAMTS-GAGL Certified

Check GAMTS Store for Exam Voucher and Study Guide

 

What Graduates Say

“GAMTS-GAIA taught me how to get the best results from ChatGPT. We’ve already saved 200+ hours in content creation monthly.” 

— Amanda K., Marketing Director, Tech Startup

 

“I thought I knew GenAI. This certification showed me advanced techniques we’re now using across the entire organization.” 

— Michael R., Operations VP, Financial Services

Career Acceleration: Secure promotions, specialized roles, and leadership opportunities

Benefits & Industry Value

Independent & Vendor-Neutral

We certify your skills, not products. GAMTS has no affiliation with any technology vendor, ensuring impartial, objective standards that remain valuable across all platforms and technologies.

Lifetime Validity – No Renewal Fees

Your GAMTS GAGL certification is valid for 3 Years.

Global Recognition – 50+ Countries

GAMTS certifications are trusted by enterprises, governments, and regulators worldwide. Your credential opens doors across continents.

Rigorous, Transparent Standards

Our certification standards are alligned according to industry bodies, and global frameworks (NIST, ISO, IEEE). Integrity is non-negotiable.

Self-Paced, Flexible Learning

No mandatory training. No fixed schedules. Study at your own pace using our comprehensive official materials. Exam available 24/7, whenever you're ready.

Affordable, Transparent Pricing

One-time bundle purchase covers study guide and unlimited exam attempts within 12 months. No hidden fees, no surprise costs, no renewal traps.

Career Advancement & Higher Compensation

GAMTS-certified professionals report average salary increases of 35% and career advancement to leadership roles within 12-24 months.

Nonprofit Mission – Your Success Matters

GAMTS is nonprofit. We reinvest all proceeds into better standards, research, and candidate support—not shareholder profits. Your certification funds excellence.

Join 10,000+ certified professionals committed to ethical practice, continuous learning, and industry excellence. Network, collaborate, grow.

FAQs About GMCS Certificate

Not necessarily. GAGL is designed to teach governance frameworks and standards. If you have governance, risk, or compliance background, you can translate that experience to AI. However, exposure to AI initiatives (through AIFA, AERA, or work experience) is helpful.

Minimal. GAGL is governance-focused, not technical. You'll understand fairness metrics conceptually (e.g., "demographic parity") but won't calculate them. If you've completed AIFA, the technical level is comparable.

Technically yes, but both are highly recommended. AIFA ensures you understand AI fundamentals; AERA provides governance and ethics foundation. Taking both first (8–12 weeks) strengthens your preparation.

Historical pass rate is 78%, indicating the exam is challenging but achievable with serious preparation. Candidates who complete all study modules and score 85%+ on practice exams typically pass.

GAMTS is a global governing body. GAGL is recognized across EU, US, Asia-Pacific, and emerging markets as a credible AI governance credential. Equivalent to industry certifications in emerging AI governance landscape.

Yes. Renewal requires 30 CPD (Continuing Professional Development) hours in AI governance, strategy, or risk over the 3-year period. This can include conferences, training, speaking, publications, and work experience.

GAGL is AI-specific and grounded in latest frameworks (NIST AI RMF, ISO 42001, EU AI Act). It's complementary to IT governance (COBIT), general risk management (ERM), or project management certifications, but focused exclusively on AI governance.

es. Your certification is architecture-agnostic. You'll learn principles that apply to new LLMs as they emerge. Free updates ensure you're aware of new tools.