Certified AI Governance Practitioner
Certified AI Governance Practitioner is a vendor-neutral certification that helps security, risk, compliance, data, and technology leaders build practical AI governance programs that support safe, responsible, and scalable AI adoption.
100% Vendor-Neutral Training
Learn practical AI governance concepts that apply across tools, vendors, and environments.
7 In-Depth Modules
Build an operating model across governance, risk, lifecycle, security, transparency, and maturity.
4 weeks to complete
Recommended pace: 3–4 hours per week.
Enroll to Become a Certified AI Governance Practitioner
Build the expertise needed to design, operate, and mature an enterprise AI governance program with confidence. This certification helps you understand how leading frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and the OECD AI lifecycle translate into practical governance activities, controls, evidence, and operating practices.
What you’ll learn
Map AI governance requirements from NIST AI RMF, ISO/IEC 42001, the EU AI Act, and OECD lifecycle guidance into a practical enterprise operating model.
Establish governance leadership, accountability, policies, records, training, and stakeholder communication for responsible AI oversight.
Assess AI use cases for risk, impact, compliance obligations, third-party exposure, and residual risk before deployment.
Govern data and AI models across the lifecycle, including planning, data processing, model selection, TEVV, deployment, monitoring, and retirement.
Implement secure AI operations through runtime controls, misuse monitoring, incident playbooks, change management, and resilience practices.
Operationalize ethics, transparency, explainability, acceptable use, fairness testing, and customer-facing AI disclosures.
Skills & tools
AI Governance
AI Risk Management
AI Compliance
AI Policy Development
AI Impact Assessment
AI Lifecycle Governance
Data Governance
Model Risk Management
AI Security Operations
Responsible AI
AI Transparency
AI Maturity Assessment
Frameworks & standards
NIST AI RMF
ISO/IEC 42001
EU AI Act
OECD AI Lifecycle
GDPR / DPIA Concepts
OWASP LLM Top 10
Enterprise GRC
Outcomes and takeaways
Build a practical AI governance operating model aligned to major global frameworks and regulations.
Understand how the Cyera Five Pillars translate complex AI governance expectations into clear domains of execution.
Create governance artifacts such as AI policies, AI registers, risk assessments, impact assessments, lifecycle records, approval evidence, and incident response playbooks.
Identify how AI governance supports audit readiness, regulatory defensibility, stakeholder trust, and secure AI adoption.
Develop a maturity-based roadmap for improving AI governance capabilities over time.
5000+ community of AI defenders
“What stood out most was the practical approach to AI security fundamentals and the clear framework for understanding governance, risk, and security maturity.”
Oksana Riabichko
Vice President, North America
"El curso está muy bien estructurado y abarca todo lo que uno necesita saber sobre seguridad en IA. ¡Excelente trabajo! Felicitaciones a todos los que trabajaron arduamente para crear este material de capacitación y el examen de certificación. ¡Mostraré mi insignia con orgullo dondequiera que pueda!"
Mayo Ledesma
Educador, analista de sistemas, Silicon Labs
"Una introducción muy informativa a la gestión del ciclo de vida de los datos y a la gestión de la postura de seguridad de los datos."
Kapil Choudhary
Gerente principal, Banco Estatal de la India
“La mayoría de las certificaciones añaden siglas después de tu nombre, pero la credencial de Arquitecto de DSPM te brinda una ventaja real. Te proporciona una guía práctica y probada para descubrir y proteger datos confidenciales en entornos de nube y SaaS complejos, para que puedas traducir el riesgo en términos empresariales que tengan sentido desde la junta directiva hasta el equipo de desarrollo.”
Ari Harrison
Director de TI, BAMKO
“Creo sinceramente que esta certificación cubre una necesidad fundamental en el panorama actual de la seguridad. Me brindó la estructura y el lenguaje necesarios para liderar iniciativas de seguridad de datos con confianza, en todos los equipos, herramientas y unidades de negocio. Ya sea que trabajes directamente con los datos o lideres la estrategia, es una de las certificaciones más prácticas y con visión de futuro que he visto.”
Amy Mayo
Analista de Ciberseguridad, Finanzas de América
Expert-Led Curriculum
The Certified AI Governance Practitioner curriculum is designed to help security, risk, compliance, data, and technology leaders translate AI governance frameworks into practical operating models.
Module 0
Introduction to AI Governance and the Five Pillars
Textual
3 Hours
Establish the need for AI governance, introduce the Cyera Five Pillar model, and explain how the course helps organizations move from governance theory to operational execution.
Module 1
AI Governance Foundations, Standards, and Frameworks
Textual
3 Hours
Explore the major frameworks shaping AI governance, including NIST AI RMF, ISO/IEC 42001, the EU AI Act, and the OECD AI lifecycle, and learn how they map to the Five Pillars.
Module 2
Pillar 1: Governance and Leadership
Textual
3 Hours
Learn how organizations establish AI accountability, ownership, decision rights, policies, records, training, and stakeholder communication.
Module 3
Pillar 2: Risk, Impact, and Compliance
Textual
3 Hours
Understand how to identify AI use cases, classify risk, conduct assessments, manage compliance obligations, evaluate third-party exposure, and document residual risk.
Module 4
Pillar 3: Data and Model Lifecycle
Textual
3 Hours
Govern data and AI systems across the full lifecycle, including planning, data processing, model selection, TEVV, deployment, monitoring, and retirement.
Module 5
Pillar 4: Secure Operations and Resilience
Textual
3 Hours
Apply operational controls through a continuous loop of prevention, detection, response, recovery, and improvement for deployed AI systems.
Module 6
Pillar 5: Ethics, Transparency, and Acceptable Use
Textual
3 Hours
Operationalize responsible AI through ethical frameworks, harm assessment, transparency, explainability, fairness testing, and acceptable use enforcement.
Module 7
Maturity, Metrics, and Evidence
Textual
3 Hours
Learn how to measure whether an AI governance program is working using KPIs, maturity scorecards, evidence collection, and prioritized improvement planning.
Earn Your
AI Governance Practitioner Certification!
Enroll to Become Certified in AI Governance Practitioner
Sign up today to gain the expertise and recognition needed to lead AI security and governance programs with confidence.
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