Certified Trustworthy AI Professional (CTAI-P) Certification Program by Tonex
The Certified Trustworthy AI Professional (CTAI-P) program equips leaders and cross-functional teams with the knowledge and tools to operationalize trustworthy AI practices across their organizations. This certification addresses the critical need for governance, compliance, and risk management in deploying AI responsibly.
Participants gain expertise in trust documentation, oversight frameworks, and assurance strategies that ensure AI systems align with ethical, legal, and societal expectations. The course emphasizes cybersecurity implications, teaching how to mitigate AI-driven risks such as data breaches, adversarial attacks, and compliance violations.
By fostering a culture of transparency and accountability, graduates of this program help secure their organization’s AI initiatives and enhance resilience in a fast-changing threat landscape.
Learning Objectives:
- Understand key principles of trustworthy AI and governance.
- Apply OWASP and NIST AI risk frameworks effectively.
- Create robust trust documentation (model cards, incident logs, etc.).
- Integrate trust-by-design principles into product development.
- Interpret legal trends and regulatory requirements globally.
- Develop cross-functional programs for AI risk assurance.
Target Audience:
- AI Project Managers
- Compliance Managers
- Legal Engineers
- Auditors
- Data Scientists
- Cybersecurity Professionals
Program Modules:
Module 1: Operationalizing OWASP Top 10 and NIST AI RMF
- Introduction to AI risk management frameworks
- Mapping OWASP Top 10 to AI system risks
- Implementing controls aligned with NIST AI RMF
- Evaluating security vs. fairness trade-offs
- Conducting risk assessments on AI pipelines
- Monitoring compliance with risk frameworks
Module 2: Trust Documentation: Model Cards, System Cards, Incident Logs
- Purpose of trust documentation in governance
- Designing comprehensive model cards
- Building system cards for end-to-end transparency
- Maintaining AI incident logs
- Reporting mechanisms for stakeholders
- Using documentation in audits and reviews
Module 3: Trust-by-Design Product Management
- Embedding trust principles in feature design
- Planning and running AI red teaming exercises
- Setting up sandbox environments for testing
- Prioritizing ethical features in product roadmaps
- Aligning product decisions with organizational policies
- Addressing privacy and security during development
Module 4: Case Law & Enforcement Trends
- Understanding FTC enforcement actions
- Analyzing EU AI Act implications
- Biden Executive Order impact on AI practices
- Emerging global regulatory trends
- Case studies of compliance failures
- Preparing for regulatory audits and investigations
Module 5: Cross-Functional Trust Assurance Programs
- Building a multi-disciplinary governance team
- Defining roles and responsibilities
- Setting KPIs and performance measures
- Establishing internal controls and checks
- Training programs for trust culture
- Communicating trust efforts to stakeholders
Module 6: Interpreting ISO/IEC 42001 for Trust Implementation
- Overview of ISO/IEC 42001 standards
- Aligning trust activities to ISO requirements
- Preparing for ISO audits and certifications
- Documenting compliance evidence
- Continuous improvement of AI systems
- Leveraging ISO for global recognition
Exam Domains:
- Principles of Trustworthy AI Governance
- AI Risk Identification and Mitigation Strategies
- Legal, Regulatory, and Ethical Considerations
- Cross-Functional Collaboration and Program Leadership
- Trust Documentation and Transparency Practices
- Organizational Reporting and Continuous Improvement
Call to Action:
Take the lead in shaping ethical, secure, and resilient AI. Enroll in the CTAI-P program today to gain the skills your organization needs to earn trust and minimize risks.
Course Delivery:
The course is delivered through a combination of lectures, interactive discussions, and project-based learning, facilitated by experts in the field of Trustworthy AI. Participants will have access to online resources, including readings, case studies, and templates for practical exercises.
Assessment and Certification:
Participants will be assessed through quizzes, assignments, and a capstone project. Upon successful completion of the course, participants will receive a Certified Trustworthy AI Professional (CTAI-P) certificate.
Question Types:
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
To pass the Certified Trustworthy AI Professional (CTAI-P) Certification Training exam, candidates must achieve a score of 70% or higher.