Strategic AI Governance, Responsible AI & ISO 42001 Training Course in Lagos, Nigeria
Classroom training in Lagos · next cohort Nov 16, 2026 · from USD 5,600
Organisations now use AI in credit decisions, hiring, customer service, fraud detection and public services, often faster than their controls can follow. Boards, regulators and customers want evidence that systems are lawful, fair, secure and under human oversight. Over ten days you build that assurance from the ground up. The first week sets out AI strategy, inventories, risk classification, policy and roles, and introduces the NIST AI Risk Management Framework, ISO/IEC 42001, ISO/IEC 23894 and the EU AI Act as reference points. The second week moves into practice: AI impact assessments, bias and fairness testing, explainability, model validation, data governance, vendor and generative AI controls, incident response, internal audit and certification readiness.
The programme is designed for chief information, data and risk officers, compliance and internal audit leaders, legal counsel, data science managers, digital transformation directors and public sector policy makers. It runs in classroom format in 18 cities, online, or in-house for an organisation, and ends with a CPD-accredited certificate. Afterwards you can draft an AI policy suite, run a risk assessment on a live use case, and present an implementation plan for an AI management system to your executive team.
At a Glance
Training in Lagos, Nigeria
Lagos is Nigeria's commercial capital and West Africa's largest business centre.
More about training in Lagos →- Format
- Classroom, in Lagos
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 5,600
- Next start dates
- Nov 16, 2026, Dec 14, 2026, Jan 11, 2027
- Certificate
- Certificate of Completion
- Airport
- Murtala Muhammed International (LOS)
- Time zone
- West Africa Time (UTC+1)
- Currency
- Nigerian naira (NGN). Fees are listed in USD.
- Business districts
- Victoria Island, Ikoyi, Lekki and Ikeja
About this course
Artificial intelligence has moved from experiment to infrastructure. Loan approvals, medical triage, recruitment screening, content moderation and public benefit decisions are increasingly shaped by models that few people in the organisation fully understand. Meanwhile, generative tools spread through business units without approval, creating confidentiality, copyright and accuracy risks. Regulators and standard setters have responded with binding rules and management system standards, and trading partners increasingly ask suppliers to demonstrate responsible practice.
This ten-day programme gives leaders and specialists a complete route from principle to certifiable practice. The first half establishes governance: strategy, inventory of AI systems, risk tiers, roles for owners and committees, policy architecture and the requirements of ISO/IEC 42001 clause by clause. The second half goes deeper into the controls that make the system real, including impact assessment, data quality and provenance, fairness and robustness testing, transparency and human oversight, third-party and generative AI management, monitoring, incident handling and internal audit. A final integrated project asks each participant to assemble an implementation plan.
Teaching combines expert briefings, templates, case files and lab exercises on sample models. Participants leave with policies, registers and assessment tools they can deploy immediately in their own organisations.
Training Objectives
By the end of the course, participants will be able to:
- Develop an AI governance strategy aligned with organisational objectives and risk appetite.
- Explain the requirements of ISO/IEC 42001 and map them to existing management systems.
- Classify AI systems by risk and apply proportionate controls under the NIST AI RMF and the EU AI Act.
- Conduct AI impact assessments covering privacy, fairness, safety and societal effects.
- Test models for bias, robustness and explainability and interpret the findings.
- Govern data, third-party AI services and generative AI use through clear policies.
- Plan monitoring, incident response and internal audit for AI systems.
- Prepare an organisation for external certification against ISO/IEC 42001.
What you'll learn
Key Takeaways
Participants leave the programme with:
- An AI system inventory template and risk classification method.
- A draft AI policy set covering acceptable use, generative AI and third-party AI.
- A completed impact assessment on a selected use case.
- A bias and fairness testing checklist with interpretation guidance.
- An ISO/IEC 42001 gap analysis and statement of applicability outline.
- An internal audit programme and incident response playbook for AI.
- A phased implementation plan and board briefing paper.
Training Methodology
Over two weeks, learning moves from concepts to assurance practice. The programme uses:
- Expert-led briefings on standards, regulation and emerging practice
- Case files from finance, health, recruitment and public services
- Lab exercises on sample models and datasets for fairness and robustness checks
- Template workshops for policies, registers and impact assessments
- An integrated project presented to a panel on the final day
Day 1: The AI Governance Landscape
- AI in business and government: uses, benefits and harms
- Failure cases: bias, hallucination, privacy breach and opaque decisions
- Overview of the NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894 and the EU AI Act
- Principles of responsible AI and their practical meaning
- Stakeholders and accountability in AI supply chains
- Case discussion on a public AI controversy
Day 2: Strategy, Inventory and Risk Classification
- Aligning AI strategy with business goals and risk appetite
- Building an inventory of AI systems and shadow AI
- Risk tiers and use-case screening
- Prohibited, high-risk and limited-risk categories
- Governance committees, owners and escalation
- Exercise: classifying a portfolio of use cases
Day 3: ISO/IEC 42001 Requirements
- Structure of the standard and the plan-do-check-act cycle
- Context, interested parties and scope of the AI management system
- Leadership, policy and roles
- Planning: risks, opportunities and objectives
- Annex A controls and statement of applicability
- Integrating with ISO 27001 and ISO 9001 systems
Day 4: Policy and Operating Model
- Policy architecture: principles, standards and procedures
- Acceptable use of AI and generative tools by staff
- Human oversight models and decision rights
- Competence, training and awareness
- Documentation and records the standard expects
- Workshop: drafting an AI policy
Day 5: Data Governance for AI
- Data quality, lineage and provenance for training data
- Personal data, consent and data protection duties
- Intellectual property and licensing of data and outputs
- Representativeness and sampling bias
- Synthetic data and its risks
- Exercise: reviewing a training dataset
Day 6: AI Impact and Risk Assessment
- Impact assessment methods and templates
- Fundamental rights, safety and societal impact screening
- Risk identification, scoring and treatment plans
- Stakeholder and affected-community consultation
- Documenting residual risk and sign-off
- Lab: completing an assessment on a hiring or credit use case
Day 7: Fairness, Explainability and Model Validation
- Fairness metrics and trade-offs
- Bias detection and mitigation techniques
- Explainability methods and their limits
- Robustness, accuracy and drift testing
- Independent model validation and challenge
- Lab: interpreting fairness test outputs on a sample model
Day 8: Third-Party, Generative AI and Security
- Vendor due diligence and contract clauses for AI services
- Governing large language models: prompts, data leakage and hallucination
- Prompt injection, model theft and adversarial attacks
- Content provenance and transparency to users
- Procurement checklists for AI-enabled products
- Exercise: reviewing a vendor AI questionnaire
Day 9: Monitoring, Incidents and Internal Audit
- Performance and harm monitoring in production
- AI incident definition, reporting and response
- Internal audit programme for the AI management system
- Management review and continual improvement
- Preparing for certification audits: stages, evidence and nonconformities
- Mock audit interview
Day 10: Integrated Project and Implementation Roadmap
- Assembling policy, inventory, assessment and control evidence
- Resourcing, budget and skills for an AI governance function
- Board and regulator reporting
- Culture change and communication plans
- Presenting the implementation plan to a mock executive panel
- Personal action plan and course review
The programme is for leaders and specialists who direct, build, buy, assure or regulate AI, including:
- Chief information, data, technology and risk officers
- Compliance, ethics and data protection officers
- Internal and external auditors and assurance providers
- Legal counsel and company secretaries
- Data science, machine learning and product managers
- Digital transformation and innovation directors
- Public sector regulators and policy makers
- Banking, insurance, health and telecom governance leads
- Procurement leads buying AI-enabled solutions
Participants who attend the full ten days and complete the practical exercises and integrated project receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy. The certificate evidences training attendance and does not constitute certification of any organisation against ISO/IEC 42001.
Choose Where You Want to Learn
Strategic AI Governance, Responsible AI & ISO 42001 Training Course Venues
NigeriaLagosNext Nov 16· 13 dates$5,600Viewing- NigeriaAbujaNext Nov 9· 13 dates$5,600
KenyaNairobiNext Nov 9· 13 dates$3,000- KenyaMombasaNext Oct 26· 13 dates$3,200
- KenyaNaivashaNext Nov 2· 13 dates$3,000
- KenyaKisumuNext Oct 26· 13 dates$3,000
- KenyaMachakosNext Nov 2· 13 dates$3,200
UgandaKampalaNext Nov 2· 13 dates$3,800
RwandaKigaliNext Oct 26· 13 dates$3,800
TanzaniaArushaNext Nov 9· 13 dates$3,800- TanzaniaDodomaNext Oct 26· 13 dates$3,600
- TanzaniaDar es SalaamNext Oct 26· 13 dates$4,000
- TanzaniaZanzibarNext Nov 16· 13 dates$5,200
South AfricaPretoriaNext Nov 2· 13 dates$6,400- South AfricaJohannesburgNext Nov 2· 13 dates$6,800
- South AfricaCape TownNext Oct 26· 13 dates$7,600
UAEDubaiNext Oct 26· 13 dates$7,600
GhanaAccraNext Nov 16· 13 dates$9,000
Scroll sideways to see all 18 cities →
Frequently Asked Questions About Strategic AI Governance, Responsible AI & ISO 42001 Training Course in Lagos
Everything you need to know about this course before you register.
Strategic AI Governance, Responsible AI & ISO 42001 Training Course runs as classroom training in Lagos, Nigeria, in Monday-to-Friday cohorts that start every four weeks. The venue, daily timings and joining details are sent in your Joining Instructions email ahead of the start date.
The next Lagos cohort starts on November 16, 2026, and a new intake follows every four weeks. Pick a date under "Upcoming sessions in Lagos" above and click Register; your seat is confirmed once payment or a signed purchase order is received.
The classroom fee for Strategic AI Governance, Responsible AI & ISO 42001 Training Course in Lagos is USD 5,600 per delegate, covering tuition and course materials. Register 3 or more delegates together and a 5% team discount is applied automatically.
Yes. Besides Lagos, Strategic AI Governance, Responsible AI & ISO 42001 Training Course runs as classroom training in Abuja. It also runs as live online training you can join from anywhere in Nigeria, and in-house at your organisation's own premises.
Yes — Strategic AI Governance, Responsible AI & ISO 42001 Training Course can be delivered at your offices in Lagos or at a venue you choose, on dates that suit your team, with case studies tailored to your sector. Message our training advisors to request a proposal.
By the end of the Strategic AI Governance, Responsible AI & ISO 42001 programme, you'll be able to develop an ai governance strategy aligned with organisational objectives and risk appetite, explain the requirements of iso/iec 42001 and map them to existing management systems, classify ai systems by risk and apply proportionate controls under the nist ai rmf and the eu ai act, and conduct ai impact assessments covering privacy, fairness, safety and societal effects. The full breakdown of topics is covered session by session in the Course Outline tab above.
The programme is for leaders and specialists who direct, build, buy, assure or regulate AI, including: Chief information, data, technology and risk officers, Compliance, ethics and data protection officers, Internal and external auditors and assurance providers, Legal counsel and company secretaries, Data science, machine learning and product managers, Digital transformation and innovation directors, Public sector regulators and policy makers, Banking, insurance, health and telecom governance leads, and Procurement leads buying AI-enabled solutions.
Strategic 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.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Strategic 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.
Strategic 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.
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What Our Clients Say
VRG brings strategic discipline to complex organizational challenges. Their approach is structured, data-driven, and outcome-focused.
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