Governance frameworks only protect an organisation when someone can turn them into a completed register, a tested model and a signed-off record. Ten days of workbench sessions build that ability, using templates and open-source tools you can keep using afterwards. You catalogue AI systems in an inventory workbook, score risks with a matrix based on ISO/IEC 23894 and the NIST AI Risk Management Framework, complete an AI system impact assessment and draft a Statement of Applicability against the Annex A controls of ISO/IEC 42001.
Later sessions are tool-led: measuring group fairness with Fairlearn, explaining predictions with SHAP and LIME, writing model cards and datasheets, logging models in MLflow, tracking drift with Evidently and probing a chatbot with adversarial prompts. Notebooks are pre-built, so analysts without coding experience can follow every step. Risk and compliance officers, data protection officers, data analysts and scientists, IT auditors, product managers and ICT staff in banking, health, government and NGOs gain a toolkit they can apply straight away. Attend in the classroom, online or in-house, and earn a CPD-accredited certificate.
Many professionals asked to oversee AI understand the principles but have never filled in an impact assessment, read a fairness report or checked a model's documentation against a standard. That gap matters. Regulators, auditors and certification bodies look for records and test results, not intentions, and both ISO/IEC 42001 and the EU AI Act expect evidence that risks were assessed and controls actually operated.
The Practical AI Governance, Responsible AI & ISO 42001 Training Course is organised as a sequence of build sessions. In the first week participants set up the core governance records for a sample organisation: inventory, policy, scope, risk register, impact assessment and control selection. In the second week they work with the technical evidence behind those records, testing a credit-scoring model for bias, generating explanations, documenting models and datasets, configuring drift reports, red teaming a generative AI assistant and finally assembling everything into an audit-ready evidence file.
Every day follows the same rhythm of short demonstration, guided build and peer review. Templates are supplied in spreadsheet and document form, and the Python notebooks run in a browser with prepared datasets, so participants concentrate on interpreting results rather than writing code.
Working through the hands-on sessions, participants will be able to:
Participants go home with a working toolkit, including:
Every session is built around doing the work: the trainer demonstrates each step, then participants repeat it on their own files. The course combines:
Day 1: Setting Up the Governance Workbench
Day 2: Policy, Roles and Scope in Practice
Day 3: Building the AI Risk Register
Day 4: AI System Impact Assessment
Day 5: Statement of Applicability and Control Mapping
Day 6: Bias Testing Lab
Day 7: Explainability and Model Documentation Lab
Day 8: Generative AI Testing and Controls
Day 9: Monitoring, Incidents and Internal Audit
Day 10: Integrated Project: The Audit-Ready Evidence File
The course is built for hands-on practitioners who will produce or review governance records, such as:
Completing the hands-on labs, attending every session and submitting the final evidence file earns each participant a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.
The certificate attests to the training and practical work completed. It does not certify an organisation to ISO/IEC 42001 or qualify the holder as a lead auditor, and participants keep the full toolkit they built.
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 Practical AI Governance, Responsible AI & ISO 42001 programme, you'll be able to build and maintain an ai system inventory that records ownership, purpose, data sources and risk tier, complete an ai risk assessment and treatment plan using a scoring matrix aligned with iso/iec 23894, carry out an ai system impact assessment and record its findings for decision makers, and draft a statement of applicability that justifies the inclusion or exclusion of iso/iec 42001 annex a controls. The full breakdown of topics is covered session by session in the Course Outline tab above.
The course is built for hands-on practitioners who will produce or review governance records, such as: Risk officers and compliance analysts asked to review AI use cases, Data protection officers and privacy analysts, Data analysts, data scientists and machine learning engineers, IT auditors and internal audit staff assessing AI controls, Product managers and business analysts introducing AI features, Information security analysts and ISO/IEC 27001 implementers, Quality and documentation officers supporting certification projects, ICT and digital officers in ministries, local authorities and public agencies, and Monitoring, evaluation and data staff in NGOs using predictive or generative tools.
Practical 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.
Practical 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 Practical 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 Practical 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.
Practical 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 Practical 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 — Practical 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