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
Concepts & frameworks
Assets, Risks, and Controls
Data Security Lifecycle
DSPM Maturity Model
Data Risk Profiling
Governance and Policy Enforcement
Monitoring and Incident Response
Secure Data Destruction
GDPR, HIPAA, CCPA, and privacy-aware data handling
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

« Cette certification a permis d’appliquer immédiatement les principes de sécurité des données à nos initiatives en matière d’IA. »
Amit Rustagi
Architecte de sécurité cloud
« Cette certification a permis d’appliquer immédiatement les principes de sécurité des données à nos initiatives en matière d’IA. »
Amit Rustagi
Architecte de sécurité cloud
« Cette certification a permis d’appliquer immédiatement les principes de sécurité des données à nos initiatives en matière d’IA. »
Amit Rustagi
Architecte de sécurité cloud
« Cette certification a permis d’appliquer immédiatement les principes de sécurité des données à nos initiatives en matière d’IA. »
Amit Rustagi
Architecte de sécurité cloud
« Cette certification a permis d’appliquer immédiatement les principes de sécurité des données à nos initiatives en matière d’IA. »
Amit Rustagi
Architecte de sécurité cloud

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!
Illustration of a purple telescope on a tripod set against a starry twilight sky and green hills.Illustration of a purple telescope on a tripod set against a starry twilight sky and green hills.Illustration of a purple telescope on a tripod set against a starry twilight sky and green hills.Illustration of a purple telescope on a tripod set against a starry twilight sky and green hills.

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.