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
"The course is well put-together and covers everything one needs to know about AI Security. Great job! Kudos to everyone who worked hard to put this training materials and certification exam together. I will be proudly displaying my badge anywhere I can!"
May Ledesma
Educator, Systems Analyst, Silicon Labs
"Very informative introduction into Data Lifecycle Management and Data Secure Posture Management."
Kapil Choudhary
Chief Manager, State Bank of India
“Most certifications add letters after your name, the DSPM Architect credential adds real leverage. It hands you a battle-tested playbook for discovering and locking down sensitive data across sprawling cloud and SaaS estates, so you can translate risk into business terms that resonate from the boardroom to the dev squad.”
Ari Harrison
Director of IT, BAMKO
“I genuinely believe this certification fills a critical gap in today’s security landscape. It gave me the structure and language to lead data security initiatives confidently—across teams, tools, and business units. Whether you're hands‑on or leading strategy, it’s one of the most practical, forward‑looking certifications I’ve seen.”
Amy Mayo
CyberSecurity Analyst, Finance of America
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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