Artificial intelligence has moved from experimentation into core operations, and with it has come a wave of expectations. Boards ask who is accountable for algorithmic decisions, regulators are drafting or enforcing AI rules, and customers and partners want assurance that systems are fair, secure and explainable. ISO/IEC 42001 provides a management system standard that organisations can implement and have certified, yet turning its requirements into working practice is a considerable task.

This advanced programme runs over ten days and takes participants from foundations to implementation. The opening block establishes the AI lifecycle, the main categories of AI risk, the regulatory and standards landscape and the structure of an AI management system, including context, leadership, planning, support, operation, performance evaluation and improvement. The second block develops the technical and ethical controls: impact assessment, data governance, bias and fairness testing, transparency and explainability, human oversight, robustness, security and privacy. A third block covers operational governance, including model inventories, procurement and supplier assurance, generative AI controls, monitoring, incident handling and documentation.

The final days focus on assurance and delivery. Participants learn internal audit techniques, readiness assessment, corrective action and management review, and they work in teams on a capstone case. Throughout, teaching mixes standards workshops, templates, lab exercises on sample models and discussion of real incidents. Each participant finishes with an implementation roadmap and a working set of governance documents.

By the end of the course, participants will be able to:

• Explain the requirements and Annex A controls of ISO/IEC 42001 and how they fit together.
• Establish AI governance structures, policies, roles and accountability.
• Create and maintain an inventory of AI systems classified by risk.
• Conduct AI risk and impact assessments using recognised frameworks.
• Test models for bias, robustness and explainability and interpret the results.
• Apply controls for generative AI, third-party models and sensitive data.
• Design monitoring, incident response and change control for AI systems in production.
• Plan and carry out an internal audit and management review of an AI management system.

The programme is intended for experienced professionals responsible for the safe and lawful use of AI, including:

• Chief information, data and technology officers
• Risk, compliance and regulatory affairs managers
• Information security and privacy officers
• Data scientists, ML engineers and AI product owners
• Internal auditors and ISO management system auditors
• Legal counsel and ethics committee members
• Digital transformation leaders in government and regulators
• Consultants advising on AI policy and certification

Participants leave with working governance assets and knowledge, including:

• A gap assessment against ISO/IEC 42001 requirements and controls.
• A draft AI policy set with roles, decision rights and escalation paths.
• A classified AI system inventory template.
• A completed AI impact and risk assessment for a sample system.
• A bias and performance testing report format.
• An internal audit checklist and evidence pack structure.
• A phased implementation roadmap with resources and milestones.

This is an advanced working programme in which participants build governance artefacts rather than only study them. Methods include:

• Clause-by-clause standards workshops with sample documentation
• Labs running bias, robustness and explainability tests on example models
• Case files on AI incidents in finance, recruitment and public services
• Simulated internal audit with evidence requests and findings
• A team capstone producing an implementation roadmap and evidence pack

Participants who attend all ten days and complete the labs and capstone receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.

The certificate acknowledges completion of this training programme and is not a personal certification issued by a standards body.