Trusted AI & Quantum Governance Professional (TAQGP) Certification Program by Tonex
This program builds confident leaders for AI and quantum governance in finance, defense, and healthcare. It turns complex rules into clear actions. You learn how to align AI and quantum initiatives with policy, ethics, and risk. You practice designing controls that regulators and boards can trust. The focus is governance first, technology second. You will connect strategy with day-to-day oversight. You will learn to measure outcomes, not intentions. Cybersecurity is central.
You will harden cryptography policies, plan for quantum disruption, and reduce attack surface across data, models, and pipelines. You will improve incident readiness and evidence collection. You will manage third-party risk and model transparency. The result is resilient programs that withstand audits and public scrutiny. Graduates leave with tools, checklists, and templates they can use immediately.
Learning Objectives:
- Define governance structures and roles for AI and quantum programs
- Translate regulations and standards into actionable policies
- Build a risk taxonomy, controls, and metrics that matter
- Establish crypto-agility and quantum-resilient roadmaps
- Govern data lineage, privacy, and model accountability
- Operationalize audits, monitoring, and incident response
Audience:
- Cybersecurity Professionals
- Risk and Compliance Leaders
- AI/ML Program Owners and Architects
- Data Governance and Privacy Officers
- Audit and Assurance Teams
- Technical Product Managers in regulated sectors
Course Modules:
Module 1: Governance Foundations
- Principles of trustworthy AI and quantum oversight
- Roles, RACI, and decision rights
- Policy stack and control libraries
- Lifecycle governance across build/deploy/operate
- Metrics, KRIs, and reporting lines
- Board and regulator communications
Module 2: Ethics and Responsible Use
- Accountability, human oversight, and redress
- Fairness, transparency, and explainability
- Safety and reliability expectations
- Documentation and model cards governance
- Third-party and vendor responsibility
- Change management for policy adoption
Module 3: Risk and Controls
- Risk taxonomy for AI + quantum programs
- Threat modeling and misuse analysis
- Control design and assurance mapping
- Continuous monitoring and drift governance
- Third-party and supply-chain risk
- Evidence, logs, and audit trails
Module 4: Regulatory Readiness
- Interpreting cross-sector obligations
- Mapping standards to controls
- Sector specifics: finance, defense, healthcare
- Compliance testing and readiness reviews
- Model risk governance and sign-offs
- Reporting, documentation, and disclosures
Module 5: Security and PQC Governance
- Crypto policy and crypto-agility
- Quantum-resilient transition planning
- Key management and HSM governance
- Secure model and data pipelines
- Privacy by design and minimization
- Resilience, continuity, and recovery plans
Module 6: Implementation Playbooks
- Program charter and operating model
- Control catalogs and checklists
- Risk registers and decision logs
- Vendor due diligence playbook
- Incident governance runbooks
- Roadmapping and maturity assessments
Exam Domains:
- Governance Principles and Oversight Models
- Risk Assessment and Control Assurance
- Regulatory Strategy and Ethical Compliance
- Cryptography, PQC, and Security Governance
- Data Integrity, Privacy, and Model Accountability
- Audit, Monitoring, and Incident Management
Course Delivery:
The course combines lectures, interactive discussions, guided case studies, and practical templates tailored to the Trusted AI & Quantum Governance Professional (TAQGP) program. Participants gain curated resources, checklists, and policy examples for immediate use.
Assessment and Certification:
Participants complete quizzes, short assignments, and a final applied governance blueprint. Upon successful completion, graduates receive the Trusted AI & Quantum Governance Professional (TAQGP) certificate from Tonex.
Question Types:
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
Passing Criteria:
To pass the Trusted AI & Quantum Governance Professional (TAQGP) Certification Training exam, candidates must achieve a score of 70% or higher.
Lead with confidence. Build governance that scales and stands up to scrutiny. Enroll now and help your organization stay secure, compliant, and future-ready.