Certified Trustworthy AI Project Manager (CTAI-PM) Certification Program by Tonex
The Certified Trustworthy AI Project Manager (CTAI-PM) Certification Program by Tonex is designed to equip project managers and technology leads with the skills needed to manage AI initiatives responsibly. As AI becomes more integrated into business and public systems, the need for ethical oversight and regulatory compliance is critical. This program trains leaders to manage AI projects while addressing risks, ethical challenges, and governance requirements. It covers the complete AI lifecycle, ensuring alignment with legal standards and organizational policies.
Participants will learn to integrate ethics into Agile and DevOps frameworks, perform risk-based planning, and drive successful stakeholder engagement. With AI increasingly intersecting with cybersecurity concerns, trustworthy AI project management strengthens system defenses against vulnerabilities caused by biased, non-compliant, or opaque AI models. Graduates of this program will be uniquely positioned to lead secure, ethical AI transformations across industries.
Audience:
- Project Managers
- Technology Leads
- AI Engineers
- Product Owners
- Cybersecurity Professionals
- Compliance Officers
Learning Objectives:
- Understand AI lifecycle project management best practices
- Align AI projects with regulatory and ethical standards
- Implement risk-based planning and monitoring strategies
- Integrate ethical principles into Agile and DevOps environments
- Engage stakeholders effectively for AI governance
- Report project outcomes with transparency and accountability
Program Modules:
Module 1: AI Lifecycle Project Management
- Defining AI project scopes
- Managing data-centric projects
- Budgeting for AI initiatives
- Scheduling AI model development phases
- Managing AI model validation and deployment
- Post-deployment lifecycle management
Module 2: Regulatory Compliance and Stakeholder Alignment
- Understanding AI-related regulations
- Mapping compliance into project planning
- Engaging stakeholders early and effectively
- Documenting compliance evidence
- Reporting AI impact assessments
- Managing cross-border regulatory challenges
Module 3: Risk-Based Planning and Monitoring
- Identifying AI-specific risks
- Creating AI risk registers
- Mitigating bias and fairness risks
- Tracking model drift and performance issues
- Controlling operational and reputational risks
- Monitoring external factors affecting AI
Module 4: Integrating Ethics into Agile and DevOps
- Embedding fairness into user stories
- Defining ethical acceptance criteria
- Adding transparency to DevOps pipelines
- Measuring explainability as a quality metric
- Handling ethical debt in sprints
- Updating ethical guidelines iteratively
Module 5: Case-Based Simulations and Reporting
- Writing AI governance reports
- Presenting audit-ready project documentation
- Simulating ethical risk mitigation scenarios
- Practicing stakeholder briefings
- Reporting model failures and fixes
- Building explainability charts for stakeholders
Module 6: Leading Trustworthy AI Transformations
- Developing ethical AI roadmaps
- Establishing AI risk committees
- Managing organizational AI change
- Building AI assurance frameworks
- Training teams on AI trustworthiness
- Scaling trustworthy AI practices across projects
Exam Domains:
- Foundations of Trustworthy AI Project Management
- AI Governance and Compliance Standards
- AI Risk Identification and Mitigation
- Ethics in AI Development Processes
- Stakeholder Engagement and Communication
- Trustworthy AI Leadership and Change Management
Course Delivery:
The course is delivered through a combination of lectures, interactive discussions, expert-led sessions, and project-based learning, facilitated by leaders in AI and project management. Participants will have access to online resources, including readings, templates, and toolkits.
Assessment and Certification:
Participants will be assessed through quizzes, assignments, and a final capstone project. Upon successful completion, participants will receive the Certified Trustworthy AI Project Manager (CTAI-PM) Certification.
Question Types:
- Multiple Choice Questions (MCQs)
- True/False Statements
- Scenario-based Questions
- Fill in the Blank Questions
- Matching Questions (Matching concepts or terms with definitions)
- Short Answer Questions
Passing Criteria:
To pass the Certified Trustworthy AI Project Manager (CTAI-PM) Certification Training exam, candidates must achieve a score of 70% or higher.
Take the lead in building AI projects that are secure, ethical, and compliant. Earn your Certified Trustworthy AI Project Manager (CTAI-PM) credential with Tonex. Enroll today and become a key player in the future of trustworthy AI!