Artificial intelligence now influences credit decisions, hiring, medical triage, fraud detection, citizen services and customer conversations. Regulators, boards and procurement teams are asking organisations to show how these systems are controlled, and standards bodies have responded with a certifiable benchmark in ISO/IEC 42001. Without a management system, AI use grows through isolated experiments, each carrying hidden risk from data quality, model drift, vendor dependence and misuse of generative tools.

The Applied AI Governance, Responsible AI & ISO 42001 Training Course is a ten-day programme that moves from principles to evidence. The opening week sets out the governance architecture: policy, accountability, risk appetite, inventories, impact assessments and the structure of ISO/IEC 42001 alongside complementary frameworks. The second week applies it to the technical and operational reality of AI systems, from fairness metrics and explainability techniques to prompt and output controls for large language models, human-in-the-loop design, monitoring and incident handling.

Teaching combines expert briefings with working labs on sample datasets and model cards, tabletop exercises and audit role plays. Participants assemble a complete governance pack for one use case, including risk register, impact assessment, control mapping, monitoring plan and internal audit checklist, and receive structured feedback before leaving.

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

• Explain the requirements and structure of ISO/IEC 42001 and how it fits with the NIST AI Risk Management Framework.
• Establish an AI policy, governance roles and an inventory of AI systems.
• Conduct AI risk and impact assessments for different use cases.
• Apply data governance and quality controls across the AI lifecycle.
• Test models for bias and apply explainability techniques.
• Design human oversight, transparency and user disclosure measures.
• Control generative AI risks, including leakage, hallucination and prompt misuse.
• Manage third-party AI suppliers, monitor systems, handle incidents and plan an internal audit.

The programme is intended for people who build, buy, oversee or assure AI systems, including:

• Chief data, technology and innovation officers
• Risk, compliance and internal audit professionals
• Data scientists and machine learning engineers
• Product owners and digital transformation leads
• Legal counsel and data protection officers
• Information security and quality managers
• Public sector digital and policy officers
• Consultants preparing clients for ISO/IEC 42001

Participants leave with:

• A complete AI governance pack for one use case.
• An AI system inventory template and risk classification method.
• An impact assessment form and risk register ready to adapt.
• A control mapping against ISO/IEC 42001 requirements.
• A bias testing and model documentation checklist.
• A generative AI acceptable use policy outline.
• An internal audit checklist and monitoring plan.

The programme is a workshop for practitioners, with applied work in every session. It features:

• Expert briefings on standards and frameworks, kept short
• Technical labs on sample datasets for bias testing and explainability
• Tabletop and red team exercises for incident and misuse scenarios
• Audit role plays using mock evidence packs
• A ten-day project producing a complete governance pack, reviewed by trainers

Participants who attend the full ten days and complete the labs and final project receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy. It confirms training attendance and is not an ISO auditor certification.