Organisations are adopting AI faster than they are governing it. Models screen loans, rank job candidates, triage patients and generate customer messages, often with no clear owner, no record of data sources and no plan for when outputs go wrong. Boards, regulators and enterprise customers now ask for evidence of control, and a structured management system is the credible way to provide it.
Over ten days you move from principles to a working programme. The first week covers AI fundamentals for governance staff, the lifecycle of AI systems, ethics and fairness, transparency, human oversight, privacy, security, and the regulatory and standards landscape including the NIST AI Risk Management Framework, the EU AI Act and ISO/IEC 42001. The second week turns to implementation: scoping the management system, building an AI inventory, impact and risk assessments, controls, supplier and generative AI governance, monitoring, incident handling, internal audit and certification preparation. Compliance and risk leaders, chief data and technology officers, AI product owners, legal counsel, internal auditors and public sector digital leads will gain the most. Classroom, online and in-house delivery is available, with a CPD-accredited certificate. Afterwards you can lead an implementation roadmap and defend it to your board.
Artificial intelligence now influences decisions about credit, hiring, healthcare, security and public services. When these systems are biased, opaque or poorly secured, the harm falls on individuals first and on the deploying organisation soon after, through complaints, regulatory action, lost contracts and damaged trust. Responsible AI is therefore a management problem as much as a technical one, and it needs policies, roles, controls and evidence in the same way that information security does.
The programme is designed in two linked halves. The first five days establish shared understanding: how AI systems are built and fail, what fairness, explainability, accountability and human oversight mean in practice, and how major frameworks and laws shape obligations. The second five days focus on delivery. Participants learn how an AI management system under ISO/IEC 42001 is structured, how to define scope and context, assign responsibilities, assess risks and impacts, select controls, manage third-party and generative AI use, monitor performance, handle incidents and prepare for internal and external audit.
Work is hands-on throughout. Participants build an AI inventory for a sample organisation, complete risk and impact assessments, draft policies and a statement of applicability, and finish with an implementation plan for their own institution that includes resourcing, timelines and board reporting.
By the end of the course, participants will be able to:
Participants leave the course with:
The ten days alternate between concept sessions and implementation labs so that learning turns into deliverables. The approach includes:
Day 1: AI Foundations for Governance Professionals
Day 2: Responsible AI Principles
Day 3: Frameworks, Standards and Regulation
Day 4: AI Risk and Impact Assessment
Day 5: Roles, Policy and Operating Model
Day 6: Understanding the ISO/IEC 42001 Management System
Day 7: Implementing the Controls
Day 8: Suppliers, Generative AI and Special Cases
Day 9: Monitoring, Incidents and Audit
Day 10: Integrated Implementation Project
The course is meant for leaders and specialists who must put AI under proper control, including:
Participants who attend the full programme and complete the labs and final project are awarded a CPD-accredited Certificate of Completion by Vision Reach Global Consultancy. The certificate evidences training and is separate from any formal certification of an organisation's management system.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
Need help with this booking?
Our training team can help with group pricing, invoicing, or picking the right schedule.
Everything you need to know about this course before you register.
By the end of the Planning and Implementation of AI Governance, Responsible AI & ISO 42001 programme, you'll be able to explain how ai systems are developed, deployed and monitored, and where governance fits in the lifecycle, apply principles of fairness, transparency, accountability and human oversight to real use cases, compare the nist ai risk management framework, the eu ai act and iso/iec 42001 and decide how each applies, and build and maintain an inventory of ai systems with owners, purposes and risk tiers. The full breakdown of topics is covered session by session in the Course Outline tab above.
The course is meant for leaders and specialists who must put AI under proper control, including: Compliance, risk and governance managers, Chief data, information and technology officers, AI, data science and product owners, Legal counsel and data protection officers, Internal auditors and information security managers, Digital transformation leads in government agencies, Bank, insurer, telecom and health sector innovation heads, Consultants advising on AI policy and certification, and Board and audit committee advisers.
Planning and Implementation of 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.
Planning and Implementation of 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 Planning and Implementation of 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 Planning and Implementation of 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.
Planning and Implementation of 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 Planning and Implementation of 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 — Planning and Implementation of 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.
Related Training
Key Skills You'll Learn
Vision Reach Global
From $3,000 · KSh 230,000
Key Skills You'll Learn
Vision Reach Global
From $3,000 · KSh 230,000
Key Skills You'll Learn
Vision Reach Global
From $3,000 · KSh 230,000
Swipe to see more courses →
VRG brings strategic discipline to complex organizational challenges. Their approach is structured, data-driven, and outcome-focused.
Levis Wabwire
Managing Director
They facilitated our strategy review, we improved departmental KPI alignment by 35% and reduced operational bottlenecks significantly.
David Oketch
Strategy Lead
Employee engagement scores increased following the leadership training program. The difference in accountability culture is evident.
Wendy Albright
Program Manager