Global AI Governance Standards
Master the frameworks shaping responsible AI — from the NIST AI RMF to ISO/IEC 42001 and the EU AI Act.
Ethics, Risk & Compliance Integration
Bridge the gap between ethics, regulation, and technical assurance.
End-to-End Audit Mastery
Assess AI from data sourcing to deployment and decommissioning.
About the course
The Certified AI Governance Auditor (CAIGA) credential establishes the global benchmark for auditing, assuring, and certifying trustworthy AI. CAIGA equips professionals to evaluate how AI systems are designed, trained, deployed, and governed — ensuring compliance, transparency, and accountability across every stage of the lifecycle. Learners master the frameworks that define responsible AI — including the NIST AI RMF, ISO/IEC 42001, and the EU AI Act — and learn to conduct evidence-based audits that bridge ethics, regulation, and risk. CAIGA graduates stand at the intersection of technology and trust — ensuring every intelligent system meets the standards of fairness, safety, and professional integrity. CAIGA. Audit the future of intelligence.
Curriculum
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1
CAIGA Official Study Guide & Resources
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(Included in full purchase)
🏛️ CAIGA Official Study Guide
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(Included in full purchase)
Official CAIGA Digital Textbook Download
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(Included in full purchase)
✉️ Stay Connected — Join the AICC Newsletter (Exclusive Deals)
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(Included in full purchase)
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2
Intro CAIGA
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Intro to Course
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3
Foundations of AI Governance
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Module 1 Intro
- 1.1 - The Governance Imperative Free preview
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1.1 - Quiz
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1.2 - Risk Taxonomy & Materiality
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1.2 - Quiz
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1.3 - Governance Frameworks
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1.3 - Quiz
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1.4 - Organizational Governance Structures
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1.4 - Quiz
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1.5 - AI Governance Maturity Models
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1.5 - Quiz
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End of Module 1 Quiz
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Module 1 Ending
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4
Regulation, Compliance & Audit Readiness
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Module 2 Intro
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2.1 - EU AI Act Deep Dive
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2.1 - Quiz
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2.2 - Global Regulatory Landscape
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2.2 - Quiz
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2.3 - Data Protection & Privacy Integration
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2.3 - Quiz
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2.4 - Audit Evidence & Documentation
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2.4 - Quiz
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2.5 - Internal Controls & Assurance Testing
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2.5 - Quiz
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End of Module 2 Quiz
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Closing Module 2
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5
AI Lifecycle Assurance & Audit Scope
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Intro Module 3
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3.1 - The AI Lifecycle Framework
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3.1 - Quiz
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3.2 - Data Governance & Quality Assurance
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3.2- Quiz
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3.3 - Model Registries & Artifact Integrity
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3.3 - Quiz
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3.4 - Deployment & Change Management
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3.4 - Quiz
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3.5 - Monitoring & Drift & Incident Response
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3.5 - Quiz
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3.6 - Decommissioning & Lifecycle Closure
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3.6 - Quiz
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End of Module 3 Quiz
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Closing Module 3
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6
AI Security & Risk Controls
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Module 4 Intro
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4.1 - AI Threat Landscape
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4.1 - Quiz
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4.2 - Model Privacy & Confidentiality
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4.2 - Quiz
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4.3 - Secrets & Credential Hygiene
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4.3 - Quiz
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4.4 - Secure Development & MLOps Assurance
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4.4 - Quiz
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4.5 - Incident Response & Forensics for AI Systems
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4.5 - Quiz
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4.6 - Continuous Security Monitoring
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4.6 - Quiz
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End of Module 4 Quiz
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Closing Module 4
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7
Ethics, Professional Practice & Continuous Assurance
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Intro Module 5
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5.1 - Ethical Foundations of AI Governance
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5.1 - Quiz
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5.2 - Codes of Conduct & Professional Standards
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5.2 - Quiz
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5.3 - Stakeholder Communication & Audit Reporting
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5.3 - Quiz
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5.4 - Continuous Assurance & Maturity Auditing
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5.4 - Quiz
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5.5 - Career Pathways & Accreditation Maintenance
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5.5 - Quiz
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End of Module 5 Quiz
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Closing Module 5
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8
Closing CAIGA
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Closing Course
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9
CAIGA Final Exam
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✉️ Stay Connected — Join the AICC Newsletter (Exclusive Deals)
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(Included in full purchase)
Course Evaluation
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(Included in full purchase)
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10
Certified AI Governance Auditor Final Exam
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(Included in full purchase)
CAIGA Final Exam
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What people are saying
Testimonies:
The CAIGA program is ahead of its time. It helped me understand not just what compliance looks like, but how to build governance that lasts. This is the new gold standard for AI accountability.
Berlin
CAIGA gave me the language and structure I needed to evaluate AI systems with confidence. It bridges governance, regulation, and ethics into one coherent framework — exactly what every organization needs right now.
Singapore
Audit the future. Define the standard.
Enroll in CAIGA today and become the voice of integrity in intelligent systems.