Policy and Regulatory Frameworks for AI Governance, Responsible AI & ISO 42001 Training Course in Mombasa, Kenya
Classroom training in Mombasa · next cohort Oct 26, 2026 · from USD 3,200
Artificial intelligence is now regulated, not just debated. Organisations that build, buy or deploy AI face binding obligations in some markets, voluntary but influential frameworks in others, and growing scrutiny from regulators and customers everywhere. Policy makers, meanwhile, must decide how to protect rights and safety without stifling innovation. Over ten days you learn to translate the instruments shaping that landscape into policy, regulation and organisational controls.
You study the EU AI Act's risk-based structure, the OECD AI Principles, the UNESCO Recommendation on the Ethics of AI, the African Union Continental AI Strategy and the NIST AI Risk Management Framework, then work with ISO/IEC 42001, 23894 and 42005 to build an AI management system and impact assessment process. The second week moves into drafting national and sector AI policy, regulatory impact assessment, sandboxes, public procurement of AI, conformity assessment and audit, with case files from finance, health and public services. It is designed for regulators, policy analysts, legal counsel, data protection officers, risk managers and technology leaders. Afterwards you can draft an AI policy and oversight framework. Classroom, online and in-house formats carry a CPD-accredited certificate.
At a Glance
Training in Mombasa, Kenya
Mombasa is Kenya's coastal port city and the sea gateway for East Africa's trade.
More about training in Mombasa →- Format
- Classroom, in Mombasa
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 3,200 (KES 240,000)
- Next start dates
- Oct 26, 2026, Nov 23, 2026, Dec 21, 2026
- Certificate
- Certificate of Completion
- Airport
- Moi International (MBA)
- From Nairobi
- Madaraka Express train, around five hours, or a one-hour flight
- Time zone
- East Africa Time (UTC+3)
- Currency
- Kenyan shilling (KES). Fees are listed in USD and KES.
About this course
Governments, regulators and organisations are moving quickly from high-level AI ethics statements to enforceable rules, certifiable management systems and sector guidance. The European Union has adopted a comprehensive AI regulation with obligations that reach providers outside Europe, international bodies have agreed common principles, and standards bodies have published a growing family of AI management and risk standards. For African and emerging-market institutions, the question is how to align with these developments in a way that fits local priorities, capacities and legal traditions.
The Policy and Regulatory Frameworks for AI Governance, Responsible AI & ISO 42001 Training Course provides a structured route through this material. The first week builds a firm foundation: AI concepts and risks, the principles of responsible AI, the main international and regional instruments, the interaction with data protection, consumer and anti-discrimination law, and the requirements of ISO/IEC 42001 and its companion standards. The second week is applied. Participants design regulatory options and draft policy, prepare an AI impact assessment, structure a conformity and audit regime, examine sector-specific approaches in financial services, health and public administration, and address generative AI and general-purpose models. The course ends with an integrated project in which each participant or team produces a policy or governance package for a real or realistic institution.
Delivery mixes expert briefings with close reading of the instruments themselves, comparative tables, drafting labs and simulated consultations. Participants leave with documents they can adapt, not just notes.
Training Objectives
By the close of the ten days, participants will be able to:
- Explain the main AI risks and the principles of responsible AI, including fairness, transparency, accountability and human oversight.
- Compare the EU AI Act, OECD AI Principles, UNESCO Recommendation, Council of Europe Framework Convention and NIST AI RMF.
- Interpret the requirements of ISO/IEC 42001 and related standards for an AI management system.
- Analyse how data protection, consumer protection and sector regulation apply to AI systems.
- Design regulatory options, including risk-based rules, sandboxes and co-regulation, using regulatory impact assessment.
- Draft national, sector or organisational AI policies with clear roles, obligations and enforcement.
- Conduct AI impact assessments and plan conformity assessment, audit and incident reporting.
- Develop an implementation roadmap that matches institutional capacity and stakeholder expectations.
What you'll learn
Key Takeaways
Over the ten days, participants assemble:
- A comparative matrix of the major international AI governance instruments.
- An ISO/IEC 42001 gap assessment for a selected organisation.
- An AI system inventory and risk classification template.
- A completed AI impact assessment for a high-risk use case.
- A set of drafted policy clauses covering roles, obligations, oversight and sanctions.
- A regulatory impact assessment comparing at least two policy options.
- An audit and conformity assessment checklist for AI systems.
- An integrated governance package presented and refined through peer review.
Training Methodology
The programme combines close study of primary texts with drafting and assessment practice. It draws on:
- Guided reading of the regulations, principles and standards using comparative tables
- Drafting laboratories where participants write and critique policy clauses
- Impact assessment and gap assessment workshops on realistic AI use cases
- Simulated public consultations and multi-regulator negotiations
- Sector case files from banking, health, education and public administration
- An integrated capstone project presented to peers and facilitators
Day 1: AI Concepts, Risks and the Case for Governance
- AI, machine learning and generative AI: concepts every policy maker needs
- The AI lifecycle from data collection to deployment and retirement
- Harms and risks: bias, opacity, safety, privacy, misinformation and labour impacts
- ISO/IEC 22989 terminology and stakeholder roles
- Why markets alone do not resolve AI risk
- Hard law, soft law, standards and self-regulation
- Exercise: mapping AI uses and risks in a ministry or company
Day 2: Responsible AI Principles and International Instruments
- OECD AI Principles and their 2024 update
- UNESCO Recommendation on the Ethics of AI and its Readiness Assessment Methodology
- Council of Europe Framework Convention on AI and human rights
- G7 Hiroshima Process guiding principles and code of conduct
- United Nations initiatives on AI governance
- African Union Continental AI Strategy and regional priorities
- Turning principles into operational requirements
- Exercise: building a comparative matrix of instruments
Day 3: The EU AI Act and Risk-Based Regulation
- Scope, definitions and extraterritorial reach
- Prohibited practices and high-risk categories
- Obligations of providers, deployers, importers and distributors
- Transparency duties and general-purpose AI models
- Conformity assessment, CE marking and post-market monitoring
- Governance, penalties and phased application
- Implications for African exporters and service providers
- Case exercise: classifying five AI systems by risk tier
Day 4: NIST AI RMF, ISO/IEC 23894 and AI Risk Management
- NIST AI RMF functions: govern, map, measure and manage
- The NIST Generative AI Profile
- ISO/IEC 23894 and its links to ISO 31000
- AI risk identification, analysis and treatment
- Model documentation: model cards, datasheets and system cards
- Testing, evaluation and red teaming
- Workshop: building an AI risk register
Day 5: ISO/IEC 42001 AI Management Systems
- Structure of ISO/IEC 42001 and the harmonised management system clauses
- Context, scope, leadership and AI policy
- AI risk assessment, treatment and the statement of applicability
- Annex A controls and Annex B implementation guidance
- Integration with ISO/IEC 27001 and ISO/IEC 27701
- ISO/IEC 42006 and requirements for certification bodies
- Exercise: an ISO/IEC 42001 gap assessment
Day 6: AI, Data Protection and Fundamental Rights
- Automated decision-making and profiling under data protection law
- Lawful basis, purpose limitation and training data
- Data protection impact assessments for AI systems
- Non-discrimination and fairness testing approaches
- Consumer protection, liability and redress
- Intellectual property questions raised by generative AI outputs
- Case lab: a credit scoring model under review by two regulators
Day 7: Designing Regulation and Drafting AI Policy
- National AI strategies versus binding regulation
- Regulatory impact assessment and option appraisal
- Principles-based, rules-based and outcome-based drafting
- Regulatory sandboxes and innovation offices
- Institutional design: lead regulator, coordination and capacity
- Stakeholder consultation and public participation
- Drafting lab: clauses on roles, obligations and enforcement
Day 8: Impact Assessment, Audit and Assurance
- ISO/IEC 42005 AI system impact assessment
- Fundamental rights impact assessment approaches
- Algorithmic audit methods and evidence
- Third-party assurance and conformity assessment bodies
- Incident reporting and serious incident thresholds
- Algorithmic transparency registers in the public sector
- Lab: completing an impact assessment for a public service chatbot
Day 9: Sector Regulation and Public Sector Use of AI
- AI in financial services: model risk management and supervisory expectations
- AI in health and the WHO guidance on ethics and governance
- AI in education, employment and social protection
- Public procurement of AI systems and contract clauses
- Generative AI use policies for civil servants and employees
- Cross-border data flows and digital trade
- Panel simulation: a multi-regulator consultation
Day 10: Integrated Governance Project and Roadmap
- Choosing a jurisdiction, sector or organisation for the project
- Assembling the policy, risk and management system components
- Implementation sequencing and capacity requirements
- Monitoring, evaluation and review clauses
- Communicating policy to stakeholders and the public
- Presentation of governance packages and peer critique
- Personal action plan and course review
The programme is written for professionals shaping or applying AI rules, including:
- ICT, communications and data protection regulators
- Central bank, capital markets and insurance supervisors overseeing AI use
- Policy analysts in ministries responsible for ICT, innovation and the digital economy
- Legal counsel and compliance officers in technology-intensive organisations
- Data protection officers and privacy professionals
- Chief risk officers and enterprise risk managers
- Chief information, data and technology officers
- ISO management system implementers and internal auditors
- Researchers and civil society advocates working on digital rights
- Development partner staff supporting digital governance reform
Each participant who attends the full ten days and submits the capstone governance package receives a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.
The certificate is a record of training and does not constitute ISO/IEC 42001 lead auditor or lead implementer certification, which is assessed separately by certification bodies.
Choose Where You Want to Learn
Policy and Regulatory Frameworks for AI Governance, Responsible AI & ISO 42001 Training Course Venues
KenyaMombasaNext Oct 26· 13 dates$3,200Viewing- KenyaNairobiNext Nov 9· 13 dates$3,000
- 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
NigeriaLagosNext Nov 16· 13 dates$5,600- NigeriaAbujaNext Nov 9· 13 dates$5,600
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
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Frequently Asked Questions About Policy and Regulatory Frameworks for AI Governance, Responsible AI & ISO 42001 Training Course in Mombasa
Everything you need to know about this course before you register.
Policy and Regulatory Frameworks for AI Governance, Responsible AI & ISO 42001 Training Course runs as classroom training in Mombasa, Kenya, 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 Mombasa cohort starts on October 26, 2026, and a new intake follows every four weeks. Pick a date under "Upcoming sessions in Mombasa" above and click Register; your seat is confirmed once payment or a signed purchase order is received.
The classroom fee for Policy and Regulatory Frameworks for AI Governance, Responsible AI & ISO 42001 Training Course in Mombasa is USD 3,200 per delegate, covering tuition and course materials. Register 3 or more delegates together and a 5% team discount is applied automatically.
Yes. Besides Mombasa, Policy and Regulatory Frameworks for AI Governance, Responsible AI & ISO 42001 Training Course runs as classroom training in Nairobi, Naivasha, Kisumu, and Machakos. It also runs as live online training you can join from anywhere in Kenya, and in-house at your organisation's own premises.
Yes — Policy and Regulatory Frameworks for AI Governance, Responsible AI & ISO 42001 Training Course can be delivered at your offices in Mombasa 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 Policy and Regulatory Frameworks for AI Governance, Responsible AI & ISO 42001 programme, you'll be able to explain the main ai risks and the principles of responsible ai, including fairness, transparency, accountability and human oversight, compare the eu ai act, oecd ai principles, unesco recommendation, council of europe framework convention and nist ai rmf, interpret the requirements of iso/iec 42001 and related standards for an ai management system, and analyse how data protection, consumer protection and sector regulation apply to ai systems. The full breakdown of topics is covered session by session in the Course Outline tab above.
The programme is written for professionals shaping or applying AI rules, including: ICT, communications and data protection regulators, Central bank, capital markets and insurance supervisors overseeing AI use, Policy analysts in ministries responsible for ICT, innovation and the digital economy, Legal counsel and compliance officers in technology-intensive organisations, Data protection officers and privacy professionals, Chief risk officers and enterprise risk managers, Chief information, data and technology officers, ISO management system implementers and internal auditors, Researchers and civil society advocates working on digital rights, and Development partner staff supporting digital governance reform.
Policy and Regulatory Frameworks for 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 Policy and Regulatory Frameworks for 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.
Policy and Regulatory Frameworks for AI Governance, Responsible AI & ISO 42001 Training Course is pitched at intermediate 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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