The Certified AI Governance Professional certification is built around AI governance frameworks, risk management, regulatory compliance, responsible AI, and globally recognized industry best practices.
Learn directly from industry experts, AI governance practitioners, risk professionals, and compliance leaders who are developing, managing, and overseeing AI frameworks, policies, and controls to ensure responsible AI adoption across global enterprises.









•Introduction to AI Governance
•What is AI Governance?
•Why AI Governance Matters
•AI Governance vs AI Risk Management
•AI Governance vs Responsible AI
•AI Governance Principles
•AI Lifecycle and Governance
•AI Governance Stakeholders
•AI Governance Roles and Responsibilities
•AI Governance Operating Models
•AI Governance Challenges
•Building an AI Governance Culture
•AI Governance Frameworks Overview
•ISO/IEC 42001: AI Management System (AIMS)
•ISO/IEC 42001 Structure and Key Requirements
•NIST AI Risk Management Framework (AI RMF)
•Govern, Map, Measure, and Manage
•ISO/IEC 23894 AI Risk Management
•ISO/IEC 38507 Governance of IT — Governance Implications of AI
•OECD AI Principles
•UNESCO AI Ethics Principles
•Comparing AI Governance Frameworks
•Selecting the Right AI Governance Framework
•Developing an AI Governance Strategy
•AI Governance Policy
•AI Acceptable Use Policy
•AI Ethics Policy
•Generative AI Usage Policy
•AI Roles and Responsibilities
•AI Governance Committee
•AI Governance Operating Model
•Three Lines of Defense for AI Risk
•AI Governance RACI
•Executive Oversight
•AI Governance Decision-Making
•AI Governance Documentation
•AI Governance Training and Awareness
•AI System Inventory
•AI Asset Management
•AI Use Case Identification
•AI System Classification
•AI Risk Classification
•AI Lifecycle Governance
•AI Development Governance
•AI Procurement Governance
•AI Deployment Governance
•AI Monitoring and Review
•AI System Modification and Change Management
•AI System Retirement and Decommissioning
•Shadow AI Governance
•Introduction to AI Risk Management
•AI Risk Identification
•AI Risk Assessment
•AI Risk Analysis
•AI Risk Scoring
•AI Risk Criteria
•AI Risk Classification
•AI Risk Treatment
•AI Risk Register
•AI Risk Ownership
•AI Risk Monitoring
•Emerging AI Risks
•AI Risk Reporting
•AI Risk Acceptance
•AI Risk Mitigation
•AI Impact Assessment
•Algorithmic Impact Assessment
•Assessing AI Benefits and Harms
•Stakeholder Impact Analysis
•Human Rights and AI
•AI Safety
•AI Reliability
•AI Security and Resilience
•AI Transparency
•AI Explainability
•AI Accountability
•AI Privacy
•AI Fairness
•AI Bias Management
•Human Oversight
•AI Data Governance
•Data Quality for AI
•Data Collection and Use
•Data Provenance
•Data Lineage
•Training Data Governance
•Data Classification
•Sensitive Data Protection
•Personal Data and AI
•Privacy by Design
•Data Minimization
•Data Retention
•AI and Data Access Controls
•Third-Party Data
•Data Governance for Generative AI
•AI Privacy Risks
•Generative AI Governance
•Large Language Model (LLM) Governance
•Generative AI Risk Management
•Generative AI Acceptable Use
•Generative AI Data Risks
•AI Hallucinations
•Prompt Injection Risks
•Prompt and System Instruction Security
•Sensitive Data Leakage
•Copyright and Intellectual Property Risks
•AI-Generated Content Governance
•Human Review of AI Outputs
•Generative AI Vendor Assessment
•Generative AI Monitoring
•Enterprise GenAI Governance
•AI Security Governance
•AI Threat and Vulnerability Management
•AI Model Security
•AI Application Security
•Adversarial Attacks on AI
•Data Poisoning
•Model Manipulation
•Prompt Injection
•Model and Data Supply Chain Risks
•Third-Party AI Risk
•AI Vendor Risk Assessment
•AI Procurement Controls
•Cloud AI Risk
•Open-Source AI Risk
•AI Contractual Requirements
•Third-Party AI Monitoring
•AI Regulatory Landscape
•EU AI Act
•Risk-Based Classification under the EU AI Act
•High-Risk AI Systems
•AI Transparency Requirements
•AI Documentation and Record-Keeping
•AI Human Oversight
•AI Compliance Management
•AI Regulatory Risk Assessment
•AI Governance Across Global Markets
•Mapping AI Regulations to Internal Controls
•AI Compliance Monitoring
•Regulatory Change Management
•AI Governance Controls
•AI Control Frameworks
•AI Control Testing
•AI Risk and Compliance Monitoring
•AI Performance Monitoring
•AI Incident Management
•AI Incident Reporting
•AI Audit Readiness
•AI Governance Assessments
•AI Compliance Assessments
•AI Governance Metrics and KPIs
•AI Governance Dashboards
•AI Risk Reporting
•Executive AI Governance Reporting
•Continual Improvement
•AI Governance Implementation Roadmap
•AI Governance Maturity Models
•AI Governance Gap Assessment
•AI Governance Prioritization
•AI Governance Framework Implementation
•Building an AI Management System
•AI Governance Documentation
•AI Governance Tools and Templates
•AI Governance Training Programs
•AI Governance Change Management
•Measuring AI Governance Effectiveness
•AI Governance Program Review
•Continual Improvement
•Building a Future-Ready AI Governance Program
You will receive a globally recognized GSDC AI Governance Professional certification that validates your expertise in building and managing effective AI governance programs. The certification demonstrates your ability to apply AI governance frameworks, risk management, impact assessment, AI policies, data governance, Generative AI governance, regulatory compliance, and governance controls to support responsible and well-governed AI adoption.

Learn from experienced practitioners and industry leaders who bring real-world expertise and practical insights to the program.
Gain full access to our complete resource library and earn a globally recognized certification.
1 Certificate Programs
Unlock exclusive bundle savings on premium resources and earn globally recognized credentials.
3 Certificate Programs
Enable teams with GSDC certification pathways and customized learning journeys aligned with business priorities.

There are no mandatory prerequisites for this AI Governance Certification. Basic familiarity with governance, risk management, compliance, data privacy, or technology concepts can be helpful, along with an interest in responsible and trustworthy AI. No prior AI, programming, or technical background is required. The program starts with the fundamentals of AI governance and gradually builds practical skills in AI risk, compliance, policies, frameworks, and governance implementation.
Exam Questions
40
Exam Format
Multiple choice
Language
English
Passing Score
65%
Duration
90 min
Open Book
No
Certification Validity
5 Years
Complimentary Retake
Yes

The GSDC Certified AI Governance Professional is a globally recognized certification designed for professionals who want to build, manage, and improve AI governance programs across organizations. The program covers AI governance frameworks, ISO/IEC 42001, NIST AI RMF, AI policies, governance roles and accountability, AI inventory and classification, AI risk management, impact assessments, data governance, Generative AI governance, AI security, third-party AI risk, and regulatory compliance. It also focuses on governance controls, monitoring, assurance, reporting, and continual improvement to help organizations adopt AI responsibly and effectively.
This certification is ideal for AI governance professionals, risk and compliance professionals, AI managers, data governance professionals, cybersecurity professionals, privacy professionals, internal auditors, legal and compliance teams, IT professionals, and business leaders involved in AI adoption and oversight. As organizations expand their use of AI and face growing governance, risk, privacy, security, and regulatory requirements, professionals with practical AI governance skills are becoming increasingly valuable.
When you enroll in the certification, you'll receive everything you need to succeed, including comprehensive study materials, two exam attempts, 3 personalized SME Connect sessions, free access to GSDC Studio with 100+ live monthly sessions, the Learn by Doing approach, the Job Support Program, LinkedIn Enhancer, Resume Builder, and complimentary GSDC Membership. Together, these resources help you build practical AI governance skills, apply governance frameworks and controls to real-world situations, and advance your career in AI governance, risk, compliance, and responsible AI.