Live Online Professional AI Governance, Responsible AI & ISO 42001 Training Course
Live online, instructor-led · next cohort Oct 26, 2026 · from USD 1,700
Organisations are deploying machine learning, chatbots and generative AI faster than they can govern them, and boards, regulators, customers and donors are asking who is accountable when a model gets it wrong. Experienced practitioners who can turn principles into controls are in short supply. Ten days give you the depth to build an AI management system rather than a policy that sits unread.
The first week covers the AI lifecycle, risk taxonomies, fairness, transparency, explainability, privacy, security and human oversight, together with the NIST AI Risk Management Framework, the OECD AI principles and the EU AI Act risk tiers as reference points. The second week works through ISO/IEC 42001 clause by clause: context, leadership, AI policy, objectives, impact assessment, Annex A controls, supplier management, internal audit and certification readiness, with integration into ISO 27001 and ISO 9001 systems. Labs include building an AI inventory, scoring model risk, testing for bias and writing a model card. Risk and compliance managers, data science leads, chief information officers, internal auditors, legal counsel and public sector digital officers will benefit. Classroom, online and in-house formats earn a CPD-accredited certificate, and you finish with an implementation plan.
At a Glance
How Live Online Training Works
Live online training, led by a trainer in real time, for participants anywhere.
More about live online training →- Format
- Live online, instructor-led
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 1,700 (KES 160,000)
- Next start dates
- Oct 26, 2026, Nov 23, 2026, Dec 21, 2026
- Certificate
- Certificate of Completion
- What you need
- A computer with a reliable internet connection, a webcam and a headset
About this course
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.
Training Objectives
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.
What you'll learn
Key Takeaways
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.
Training Methodology
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
Day 1: AI Foundations and the Governance Imperative
- Machine learning, deep learning and generative AI explained for governance staff
- The AI lifecycle from data collection to retirement
- Real incidents: bias, hallucination, misuse and data leakage
- Stakeholders and accountability for AI outcomes
- Why governance matters to boards, regulators and customers
- Exercise: listing AI use cases in your organisation
Day 2: Responsible AI Principles in Practice
- Fairness and bias: sources, metrics and mitigation
- Transparency, explainability and contestability
- Privacy, consent and data minimisation in AI
- Safety, robustness and human oversight
- OECD AI principles and ethical frameworks
- Case study: an automated screening tool that discriminated
Day 3: Regulatory and Standards Landscape
- EU AI Act risk tiers and obligations as a global reference
- NIST AI Risk Management Framework: govern, map, measure, manage
- National AI strategies and data protection overlap in Africa
- The ISO/IEC family of AI standards
- Sector rules for finance, health and public services
- Workshop: mapping obligations to a case organisation
Day 4: AI Risk Assessment and Inventory
- Building an AI inventory and shadow AI discovery
- Risk identification, scoring and acceptance criteria
- AI impact assessments for individuals and society
- Third-party models, APIs and open-source components
- Risk register design for AI
- Lab: scoring five AI systems and recommending controls
Day 5: Governance Structures and Policies
- AI governance committee, roles and RACI
- Writing an AI policy and supporting procedures
- Acceptable use of generative AI by staff
- Procurement and supplier clauses for AI services
- Training and awareness programmes
- Workshop: drafting an AI policy and use-case approval workflow
Day 6: ISO/IEC 42001 Clauses 4 to 6
- Structure of the standard and the Annex SL framework
- Context of the organisation and interested parties
- Scoping the AI management system
- Leadership commitment and AI policy requirements
- Planning: risks, opportunities, objectives and AI impact assessment
- Exercise: defining scope and objectives for a case organisation
Day 7: ISO/IEC 42001 Clauses 7 to 10
- Resources, competence, awareness and communication
- Documented information and control of records
- Operational planning and control across the AI lifecycle
- Performance evaluation, monitoring and management review
- Nonconformity, corrective action and continual improvement
- Workshop: building the documentation set
Day 8: Annex A Controls and Technical Assurance
- Annex A control objectives and Annex B implementation guidance
- Data quality, provenance and data governance controls
- Model testing, validation, monitoring and drift
- Bias testing and model cards
- Securing AI systems and integrating with ISO 27001
- Lab: preparing a statement of applicability extract
Day 9: Audit, Certification and Supplier Assurance
- Internal audit planning and sampling for AI management systems
- Gathering evidence and writing findings
- Stage 1 and stage 2 certification audit process
- Assuring third-party AI suppliers
- Incident management and reporting for AI failures
- Simulation: a mock audit interview and findings review
Day 10: Implementation Project and Roadmap
- Gap analysis against ISO/IEC 42001
- Prioritising actions and resourcing the programme
- Change management and culture for responsible AI
- Reporting AI governance to the board
- Presentation of implementation roadmaps
- Review, feedback and next steps
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
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.
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Frequently Asked Questions About Live Online Professional AI Governance, Responsible AI & ISO 42001 Training Course
Everything you need to know about this course before you register.
By the end of the Professional AI Governance, Responsible AI & ISO 42001 programme, you'll 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, and create and maintain an inventory of ai systems with risk classification. The full breakdown of topics is covered session by session in the Course Outline tab above.
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, and Consultants advising clients on responsible AI.
Professional AI Governance, Responsible AI & ISO 42001 Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Professional AI Governance, Responsible AI & ISO 42001 Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Professional AI Governance, Responsible AI & ISO 42001 starts October 26, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Professional AI Governance, Responsible AI & ISO 42001 Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Professional AI Governance, Responsible AI & ISO 42001 Training Course is pitched at advanced professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Professional AI Governance, Responsible AI & ISO 42001 Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Professional AI Governance, Responsible AI & ISO 42001 Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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