Many organisations now have an AI policy on paper, yet reviews of new models remain inconsistent, evidence is scattered across teams and nobody can show that the controls work. Ten days give governance, risk and technology professionals a clear picture of what good practice looks like and a method for moving towards it. You score current arrangements with a maturity model, compare them with the expectations of ISO/IEC 42001, the NIST AI Risk Management Framework, ISO/IEC 23894 and the OECD AI Principles, and select the practices that fit your size and sector. Sessions cover accountable roles, proportionate risk tiering, impact assessment, data and model documentation, fairness testing, human oversight, rules for generative AI and supplier due diligence.
The second week moves from adopting practices to proving and improving them through control effectiveness testing, key risk indicators, internal audit, lessons-learned reviews of published AI failures and corrective action. Risk managers, compliance and audit staff, data science leads, quality and ISO coordinators, and digital officers in banks, government, NGOs and private firms will find it relevant. Classroom, online and in-house formats are available, each with a CPD-accredited certificate. You leave with a benchmarked gap analysis and a prioritised improvement roadmap.
Writing an AI policy is the easy part. The harder test comes months later, when a new chatbot, scoring model or document classifier arrives and the organisation must decide quickly, consistently and on the record whether it is safe to use. Organisations that rely on ad hoc reviews tend to repeat the same mistakes: unclear ownership, impact assessments completed after launch, vendor claims accepted without testing and monitoring that stops at go-live. Learning from practices that have already proved themselves elsewhere is the quickest way out of that cycle.
The Best Practices in AI Governance, Responsible AI & ISO 42001 Training Course is built around a simple improvement loop: establish what good looks like, measure where you stand, adopt the practices that close the gap and check that they work. Days one to five set the benchmark across governance structures, risk tiering, impact assessment, data stewardship and the clauses and Annex A controls of the management system standard, with a maturity assessment of a case organisation. Days six to ten go further into fairness and explainability evidence, generative AI safeguards, third-party assurance, control testing, audit and management review, ending in an integrated improvement project.
Each topic is taught through comparison. Participants examine weak, adequate and strong versions of real governance artefacts, such as policies, risk registers, model cards and audit findings, and discuss why one works better than another. Facilitated peer benchmarking draws on the experience of delegates from different sectors and countries, so that practices are judged against what is achievable in African and international organisations of varying size.
Participants completing the programme will be able to:
Delegates take away a set of benchmarked, improvement-ready materials:
Teaching centres on comparing practice rather than memorising requirements. Sessions use:
Day 1: What Good AI Governance Looks Like
Day 2: Measuring Maturity and Benchmarking Practice
Day 3: Governance Structures, Roles and Policy
Day 4: Risk Tiering and Impact Assessment Practice
Day 5: Lifecycle, Data and the ISO/IEC 42001 Benchmark
Day 6: Fairness, Explainability and Documentation in Depth
Day 7: Safeguards for Generative AI
Day 8: Third-Party AI and Supply Chain Assurance
Day 9: Proving Controls Work: Monitoring, Audit and Improvement
Day 10: Integrated Improvement Project
Delegates usually already carry some responsibility for AI oversight and want to raise its standard. Typical participants include:
A CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy is awarded to delegates who attend all ten days and complete the maturity assessment, review exercises and improvement project.
The certificate records the training received. It is not ISO/IEC 42001 certification, which certification bodies grant to organisations after audit, and it is not a personal auditor credential.
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 Best Practices in AI Governance, Responsible AI & ISO 42001 programme, you'll be able to describe the characteristics of mature ai governance as reflected in iso/iec 42001, the nist ai rmf and the oecd ai principles, assess an organisation's ai governance maturity and benchmark it against recognised good practice, apply proportionate, risk-tiered review so that high-impact ai systems receive deeper scrutiny than low-risk tools, and evaluate the quality of ai risk registers, impact assessments and model documentation using clear criteria. The full breakdown of topics is covered session by session in the Course Outline tab above.
Delegates usually already carry some responsibility for AI oversight and want to raise its standard. Typical participants include: Heads of AI governance, responsible AI leads and AI ethics officers, Enterprise and model risk managers in banks, insurers and microfinance institutions, Compliance officers and data protection officers, Internal auditors and IT audit specialists, Data science and machine learning team leads, ISO management system coordinators extending ISO/IEC 27001 or ISO 9001 programmes to AI, Quality assurance and process improvement managers, Digital transformation and ICT officers in government agencies and regulators, and Programme and technology staff in NGOs and development organisations that use AI tools.
Best Practices 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.
Best Practices 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 Best Practices in AI Governance, Responsible AI & ISO 42001 starts November 2, 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 Best Practices 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.
Best Practices in 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.
Fees for Best Practices 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 — Best Practices 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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