Artificial intelligence now influences credit decisions, hiring, diagnosis, fraud detection, citizen services and customer conversations. With that reach come new exposures: biased outcomes, opaque decisions, leaked data, hallucinated advice and dependence on third-party models that the organisation does not control. Regulation is emerging in many jurisdictions, and large buyers increasingly ask suppliers for evidence of AI governance.

The Professional AI Governance, Responsible AI & ISO 42001 Training Course is a ten-day programme for practitioners who must design, operate or assure that governance. The first half builds the foundations: how AI systems are built and fail, how to categorise risk, how to apply responsible AI principles to real use cases and how to organise roles, committees and policies. The second half focuses on the management system standard ISO/IEC 42001, showing how to scope an AI management system, perform AI impact assessments, implement controls, monitor performance and prepare for internal and external audit.

Participants work throughout on a case organisation, producing the artefacts an auditor would expect to see. By the end they have a tested set of documents, a risk register and a phased implementation plan, as well as the confidence to explain governance choices to technical teams and executives alike.

After the ten days, participants will be able to:

• Describe the AI lifecycle and the risks that arise at each stage.
• Apply responsible AI principles of fairness, transparency, accountability and safety to specific use cases.
• Compare the NIST AI RMF, OECD principles, the EU AI Act and ISO/IEC 42001.
• Create and maintain an inventory of AI systems with risk classification.
• Conduct AI impact and bias assessments and document mitigation.
• Draft an AI policy, roles and committee structure suited to their organisation.
• Interpret ISO/IEC 42001 clauses and Annex A controls and plan their implementation.
• Assess third-party AI suppliers and plan internal audits ahead of certification.

The programme is designed for professionals who shape or assure how AI is used, including:

• Risk, compliance and governance managers
• Chief information, data and digital officers
• Data science and machine learning leads
• Internal auditors and IT auditors
• Legal counsel and data protection officers
• Information security managers experienced in ISO 27001
• Quality managers extending management systems to AI
• Public sector digital transformation and policy officers
• Consultants advising clients on responsible AI

Delegates leave with:

• An AI system inventory and risk classification template.
• A completed sample AI impact assessment and model card.
• A draft AI policy, acceptable use rules for generative AI and a roles matrix.
• A statement of applicability outline mapped to Annex A controls.
• An internal audit checklist for an AI management system.
• A phased roadmap to ISO/IEC 42001 readiness for their organisation.

The programme is delivered as a working lab around a single case organisation:

• Short briefings followed immediately by drafting of policies, assessments and registers
• Hands-on bias testing and model documentation using sample datasets and models
• Clause-by-clause workshops that produce the documents an auditor would request
• A mock internal audit with participants acting as auditors and auditees
• Final roadmap presentations reviewed by facilitators and peers

Participants who attend the ten days and complete the practical assignments receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy. It confirms training received and is not an ISO auditor or lead implementer qualification awarded by a certification body.