Certified AI Trust Practitioner
Certified AI Trust Practitioner is a vendor-neutral certification that helps security, data, governance, risk, and technology professionals understand the basics of AI trust, trusted data, provenance, and transparent decision-making.
100% tool-agnostic training
Get in-depth knowledge of a subject
4 in-depth modules
Recommended experience
4 weeks to complete
at 3 hours a week
Enroll to become certified in AI Trust Practitioner
Build the foundational knowledge needed to understand modern data security challenges and how DSPM improves visibility, control, and risk reduction.
What you’ll learn
Learn the core language of trust, including provenance, transparency, evidence, and accountability.
Understand the AI Trust Decision Model and how intent, boundaries, and trusted data shape trustworthy AI.
Explore the building blocks of AI trust, including rules, information, provenance, and validation.
Skills & tools
AI Trust
Data Trust
Provenance
Trust Decision Modeling
AI Intent Definition
Data Boundaries
Trust Validation
Trust Foundations
Models
AI Trust Decision Model
Unified Rules Model
Unified Information Model
Outcomes and takeaways
Build a practical understanding of what makes an AI system trustworthy.
Learn how trusted AI depends on trusted data and clear decision boundaries.
Gain a simple framework for discussing AI trust across security, governance, and data teams.
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 Security for AI Fundamentals certification is built to develop durable skills you can apply across tools, teams, and future roles as AI continues to evolve.
Module 1
Understanding the AI trust challenge
Textual
3 Hours
Explore why trust has become central to AI adoption and how organizations move from assumed trust to measurable trust.
Course 2
The AI Trust decision model
Textual
3 Hours
Learn how to define AI intent, trusted boundaries, and the decision structures required to trust AI systems and data.
Course 3
The building blocks of AI trust
Textual
3 Hours
Understand the practical ingredients that support trustworthy AI, including rules, information, provenance, trust signals, and validation.
Earn your
AI Trust Practitioner certification!
Enroll to become certified in AI Trust Practitioner
Sign up today to build a clear understanding of the core ideas, language, and models behind trustworthy AI.
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