Governance and Compliance in AI Governance, Responsible AI & ISO 42001 Training Course in Tanzania
Classroom cohorts in Arusha, Dodoma, Dar es Salaam, Zanzibar · live online · in-house anywhere in Tanzania
Organisations are deploying machine learning and generative tools faster than their policies can keep up, and biased outputs, data leakage, opaque decisions and regulatory scrutiny are already costing money and trust. Boards, auditors and customers now ask for evidence that AI is governed, not merely used. Across ten days, participants learn to establish that evidence through a management system built on ISO/IEC 42001.
The first week covers AI governance structures, roles and accountability, the clauses and Annex controls of the standard, risk and impact assessment, data governance, fairness, transparency, human oversight and mapping of regulatory expectations. The second week goes deeper into lifecycle controls, third-party and generative AI risk, incident handling, monitoring metrics, internal audit, readiness for certification and an integrated project. Compliance and risk officers, data and AI leads, information security managers, internal auditors, legal advisers, product owners and public sector digital officers will gain most. Delivery is by classroom, online or in-house team programme, with a CPD-accredited certificate. You finish able to produce a gap analysis, an AI policy set, a risk register and an audit programme.
About this course
Artificial intelligence now influences credit decisions, hiring, health triage, fraud detection, public services and customer interaction. With that reach comes accountability. Regulators across several regions are drafting or enforcing rules on automated decision making, and customers and investors expect organisations to show who owns each AI system, what data it uses, how it has been tested and what happens when it fails. ISO/IEC 42001 provides a certifiable management system framework for exactly this purpose.
This ten-day programme takes participants from governance principles to a working, auditable AI management system. The opening days establish context: AI concepts for non-engineers, the risk landscape, responsible AI principles and the structure of the standard. Subsequent sessions build the system component by component, including policy, scope, roles, objectives, impact assessments, data and model lifecycle controls, supplier management, documentation and awareness. The second week concentrates on assurance: monitoring and metrics, incident response, generative AI specific controls, internal audit, management review, corrective action and certification readiness.
Participants work throughout on a case organisation, producing artefacts such as a gap analysis, risk register, statement of applicability and audit plan. The final days integrate everything in a project presented to the group for challenge and feedback.
Training Objectives
By the end of the programme, participants will be able to:
- Explain the principles of responsible AI and the governance models used to apply them.
- Interpret the clauses and Annex controls of ISO/IEC 42001 and plan their implementation.
- Define the scope, policy, roles and objectives of an AI management system.
- Conduct AI risk and impact assessments covering fairness, safety, privacy and security.
- Establish data governance and model lifecycle controls from design to retirement.
- Assess third-party and generative AI providers, and design monitoring and incident response for AI systems.
- Plan internal audits and management reviews against the standard and prepare the organisation for external certification.
- Map the management system to applicable laws and sector expectations.
What you'll learn
Key Takeaways
Participants leave with:
- A gap analysis against ISO/IEC 42001 for a chosen organisation.
- A draft AI policy set and governance charter.
- An AI risk register and impact assessment template.
- A statement of applicability with justified control selection.
- A supplier and generative AI due diligence checklist.
- An internal audit programme and sample audit report.
- A certification readiness roadmap with owners and dates.
Training Methodology
The programme is cumulative, with each day adding a component to a case-based management system. Delivery includes:
- Expert-led explanation of standard requirements in practical terms
- Daily labs producing governance artefacts and registers
- Review of anonymised AI failures and near misses
- Mock audits and incident simulations
- A final project defended before the group
Day 1: AI, Risk and the Case for Governance
- AI and machine learning concepts for governance professionals
- Harm scenarios: bias, hallucination, privacy loss and misuse
- Responsible AI principles and ethics frameworks
- Regulatory trends and sector expectations
- Business drivers for an AI management system
- Exercise: inventorying AI use in a case organisation
Day 2: The ISO/IEC 42001 Framework
- Structure of the standard and the plan-do-check-act cycle
- Context, interested parties and scope
- Leadership commitment and AI policy
- Relationship to ISO 27001, ISO 9001 and ISO 27701
- Overview of Annex A controls and Annex B guidance
- Workshop: drafting the scope statement
Day 3: Governance Structures and Accountability
- Boards, AI committees and three lines of defence
- Roles for owners, developers, validators and users
- Objectives and key performance indicators
- Resources, competence and awareness
- Documented information and version control
- Exercise: designing a governance charter
Day 4: AI Risk and Impact Assessment
- Risk identification across the AI lifecycle
- Rating likelihood, severity and affected groups
- AI system impact assessment for individuals and society
- Treatment options and residual risk acceptance
- Building the statement of applicability
- Lab: completing an impact assessment for a credit scoring model
Day 5: Data Governance and Fairness
- Data quality, provenance and labelling controls
- Privacy and consent in training data
- Bias testing methods and fairness metrics
- Handling sensitive attributes and proxies
- Synthetic data and its limits
- Lab: reviewing a dataset for representativeness
Day 6: Model Lifecycle Controls
- Requirements, design and development documentation
- Validation, testing and acceptance criteria
- Explainability and transparency to users
- Human oversight and override design
- Change management, deployment and retirement
- Lab: building a model card and release checklist
Day 7: Third-Party and Generative AI Risk
- Supplier assessment for AI-enabled products and cloud models
- Contract clauses on data use, audit rights and incident notice
- Generative AI risks: leakage, hallucination, copyright and prompt attacks
- Acceptable use policies for staff
- Shadow AI discovery and control
- Exercise: assessing a generative AI vendor
Day 8: Monitoring, Incidents and Performance
- Operational monitoring: drift, accuracy and complaint signals
- Metrics and dashboards for governance reporting
- AI incident definition, triage and response
- Communicating incidents to regulators and affected people
- Learning from near misses
- Simulation: responding to a biased outcome incident
Day 9: Internal Audit, Review and Certification
- Audit principles, planning and evidence collection
- Auditing AI controls and interviewing technical teams
- Nonconformities and corrective action
- Management review inputs and outputs
- Certification stages and working with a certification body
- Practice audit of a case management system
Day 10: Integrated Project and Roadmap
- Assembling the management system documentation set
- Final gap analysis and prioritised remediation plan
- Presenting to a mock board and audit committee
- Sustaining the system: culture, training and continual improvement
- Peer challenge and feedback
- Personal commitments and course close
The programme serves professionals who oversee, build, buy or assure AI, including:
- Compliance, risk and governance officers
- Chief data officers and heads of analytics or AI
- Information security and privacy managers
- Internal and external auditors
- Legal counsel and ethics committee members
- Product owners and digital transformation leaders
- Procurement officers buying AI-enabled systems
- Public sector ICT and policy officers
- Management system and quality managers adding AI to existing ISO systems
Participants who attend the ten days and complete the labs and final project receive a CPD-accredited Certificate of Completion from Vision Reach Global Consultancy. It confirms training in AI governance practice; it is not an ISO auditor qualification.
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.
Choose Where You Want to Learn
Governance and Compliance in AI Governance, Responsible AI & ISO 42001 Training Course Venues
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
KenyaNairobiNext Nov 9· 13 dates$3,000- KenyaMombasaNext Oct 26· 13 dates$3,200
- 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
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 Governance and Compliance in AI Governance, Responsible AI & ISO 42001 Training Course in Tanzania
Everything you need to know about this course before you register.
Governance and Compliance in AI Governance, Responsible AI & ISO 42001 Training Course runs as classroom training in Arusha, Dodoma, Dar es Salaam, and Zanzibar, Tanzania, in Monday-to-Friday cohorts that start every four weeks. You can also join a live online cohort from anywhere in Tanzania, or book it in-house at your organisation's own premises.
The next classroom cohort in Tanzania starts on October 26, 2026 in Dodoma and Dar es Salaam, and a new intake follows every four weeks in each city. Pick a city and date in the schedule panel above, then click "Register for the Course" — your seat is confirmed once payment or a signed purchase order is received.
Classroom fees for Governance and Compliance in AI Governance, Responsible AI & ISO 42001 Training Course in Tanzania run from USD 3,600 per delegate in Dodoma to USD 5,200. The fee covers tuition and course materials. Register 3 or more delegates together and a 5% team discount is applied automatically.
Yes — Governance and Compliance in AI Governance, Responsible AI & ISO 42001 Training Course can be delivered at your offices anywhere in Tanzania, or at a venue you choose, on dates that suit your team, with case studies tailored to your sector. Switch to the "In-House" tab in the schedule panel above to request a proposal.
Yes. Governance and Compliance in AI Governance, Responsible AI & ISO 42001 Training Course also runs as live online training: the same curriculum as the classroom programme, taught by a trainer in real time, so you can join from anywhere in Tanzania without travelling. Choose "Virtual Live" in the schedule panel above to see the online dates and fee.
By the end of the Governance and Compliance in AI Governance, Responsible AI & ISO 42001 programme, you'll be able to explain the principles of responsible ai and the governance models used to apply them, interpret the clauses and annex controls of iso/iec 42001 and plan their implementation, define the scope, policy, roles and objectives of an ai management system, and conduct ai risk and impact assessments covering fairness, safety, privacy and security. The full breakdown of topics is covered session by session in the Course Outline tab above.
The programme serves professionals who oversee, build, buy or assure AI, including: Compliance, risk and governance officers, Chief data officers and heads of analytics or AI, Information security and privacy managers, Internal and external auditors, Legal counsel and ethics committee members, Product owners and digital transformation leaders, Procurement officers buying AI-enabled systems, Public sector ICT and policy officers, and Management system and quality managers adding AI to existing ISO systems.
Governance and Compliance 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.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Governance and Compliance 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.
Governance and Compliance 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.
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