Boards want the productivity and growth that artificial intelligence promises, while regulators, customers and staff want assurance that systems are safe, fair and accountable. Organisations that treat governance as a brake either stall innovation or launch tools they cannot defend. Ten days show how to design governance that lets AI scale with confidence. You link AI ambition to business strategy, build a use-case portfolio ranked by value and risk, and set up an AI management system aligned with ISO/IEC 42001, including its Annex A controls.
Deeper sessions apply the NIST AI Risk Management Framework, ISO/IEC 23894 risk methods, AI system impact assessments, the EU AI Act risk tiers and the OECD and UNESCO principles. You also design generative AI policies, innovation sandboxes, vendor and model due diligence, and metrics for fairness, transparency and model drift. Chief digital and data officers, AI and innovation leads, CIOs, risk and compliance heads, data science managers and policy officers in banking, telecoms, health, government and technology firms will benefit most. Classroom, online and in-house delivery carry a CPD-accredited certificate. Afterwards you can lead an AI governance roadmap that supports innovation.
Artificial intelligence has moved from pilot projects into credit decisions, customer service, recruitment, medical triage, fraud detection and public services, and generative AI has put powerful tools in the hands of every employee. At the same time, the publication of ISO/IEC 42001 in 2023, the adoption of the EU AI Act and guidance such as the NIST framework have set clear expectations for how organisations should govern AI. Leaders now face a strategic question: how to capture the value of AI quickly without exposing the organisation to bias, privacy breaches, security failures, intellectual property disputes or loss of public trust.
The Strategy and Innovation in AI Governance, Responsible AI & ISO 42001 Training Course answers that question over ten days. The first week builds the strategic and structural foundations: AI strategy and value, use-case portfolio management, responsible AI principles, the regulatory landscape, and the requirements of an AI management system, including scope, AI policy, roles, risk assessment, impact assessment and the Statement of Applicability. The second week goes deeper into innovation under control, covering generative AI governance, sandboxes and staged release, third-party and foundation model risk, technical assurance for fairness, robustness and explainability, internal audit of the management system, and an integrated capstone in which teams design a governance operating model for a realistic organisation.
Teaching combines strategy workshops, policy drafting, structured assessment labs and peer critique, so participants leave with documents they can adapt immediately.
On completion of the ten days, participants will be able to:
Over the two weeks, participants assemble a working toolkit that includes:
Ten days allow for both strategic debate and detailed practice. Participants learn through:
Day 1: AI Strategy, Value and the Case for Governance
Day 2: Responsible AI Principles and the Regulatory Landscape
Day 3: Use-Case Portfolio and Innovation Pipeline
Day 4: ISO/IEC 42001 Foundations
Day 5: AI Risk and Impact Assessment
Day 6: Governing Generative AI and Innovation Sandboxes
Day 7: Third-Party, Data and Model Supply Chain Risk
Day 8: Technical Assurance and Responsible AI Metrics
Day 9: Operating Model, Audit and Continual Improvement
Day 10: Capstone: Designing a Responsible AI Programme
The programme is aimed at experienced professionals who shape or oversee AI adoption, such as:
Participants who attend all ten days and complete the workshop, lab and capstone assignments receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.
This is a training certificate, not ISO/IEC 42001 certification of an organisation or a personal auditor credential. The toolkit documents produced during the programme remain with participants as evidence of their applied work.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Everything you need to know about this course before you register.
By the end of the Strategy and Innovation in AI Governance, Responsible AI & ISO 42001 programme, you'll be able to align an ai strategy and use-case portfolio with organisational objectives, risk appetite and responsible ai principles, interpret the requirements of iso/iec 42001 and plan the scope, policy, roles and controls of an ai management system, apply the nist ai rmf and iso/iec 23894 to identify, analyse and treat ai risks across the system lifecycle, and conduct ai system impact assessments that consider individuals, groups and society. The full breakdown of topics is covered session by session in the Course Outline tab above.
The programme is aimed at experienced professionals who shape or oversee AI adoption, such as: Chief digital, data and analytics officers, Heads of AI, innovation and digital transformation, Chief information officers and chief technology officers, Chief risk officers, compliance heads and model risk managers, Data science and machine learning team leads, Information security and privacy leaders, including DPOs and CISOs, Internal auditors and assurance professionals reviewing AI systems, Policy makers and regulators working on AI and digital economy strategy, and Product owners and strategy managers in banking, insurance, telecoms, health and the public sector.
Strategy and Innovation in 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.
Strategy and Innovation in 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 Strategy and Innovation in AI Governance, Responsible AI & ISO 42001 starts October 19, 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 Strategy and Innovation in 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.
Strategy and Innovation in 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 Strategy and Innovation in 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 — Strategy and Innovation in 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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