| Location | Duration | Kenyan Cost | Non-Kenyan Cost | Upcoming Schedules |
|---|---|---|---|---|
| Nairobi, Kenya | 5 Days | KES 115,000 | USD 1,500 | Enroll |
| Kigali, Rwanda | 5 Days | USD 1,900 | USD 1,900 | Enroll |
| Kampala, Uganda | 5 Days | USD 1,900 | USD 1,900 | Enroll |
| Dar es Salaam, Tanzania | 5 Days | USD 2,000 | USD 2,000 | Enroll |
| Dubai, UAE | 5 Days | USD 3,900 | USD 3,900 | Enroll |
| Abuja, Nigeria | 5 Days | USD 4,000 | USD 4,000 | Enroll |
| Accra, Ghana | 5 Days | USD 4,000 | USD 4,000 | Enroll |
| Pretoria, South Africa | 5 Days | USD 3,900 | USD 3,900 | Enroll |
| Start & End Date | Duration | Kenyan Cost | Non-Kenyan Cost | Enroll | |
|---|---|---|---|---|---|
| Sep 07āSep 15, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Sep 21āSep 29, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Oct 05āOct 13, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Oct 19āOct 27, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Nov 02āNov 10, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Nov 16āNov 24, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Nov 30āDec 08, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Dec 14āDec 22, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Dec 28, 2026āJan 05, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jan 11āJan 19, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jan 25āFeb 02, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Feb 08āFeb 16, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Feb 22āMar 02, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Mar 08āMar 16, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Mar 22āMar 30, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Apr 05āApr 13, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Apr 19āApr 27, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| May 03āMay 11, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| May 17āMay 25, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| May 31āJun 08, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jun 14āJun 22, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jun 28āJul 06, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jul 12āJul 20, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jul 26āAug 03, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
About the Course
Organizations adopting artificial intelligence increasingly need a structured management approach that connects policy, risk, governance, operational controls and continual improvement. ISO/IEC 42001 provides a management-system framework for organizations that develop, provide or use AI systems. For institutions already familiar with ISO-style management systems, it offers a practical route for embedding AI responsibilities into established governance and assurance processes.
This programme focuses on interpreting the requirements of an Artificial Intelligence Management System and translating them into practical implementation activities. Participants examine organizational context, leadership responsibilities, AI policy, objectives, risk and impact assessment, resources, competence, operational controls, performance evaluation, internal review and continual improvement. The course also considers how an AI management system can interface with existing information security, privacy, quality, risk and compliance structures.
The course is implementation-oriented rather than certification marketing. Participants work through a structured gap assessment and develop core implementation artifacts including an AIMS scope statement, stakeholder map, policy outline, risk-assessment approach, control responsibilities, implementation plan and internal review checklist. Organizations benefit from a more disciplined and auditable approach to AI management while retaining flexibility to tailor controls to their size, sector and risk profile.
Target Participants
The programme is suitable for AI governance professionals, risk and compliance staff, management-system implementers, internal auditors, information-security managers, data-protection professionals, quality managers, technology leaders, digital-transformation teams, consultants and managers responsible for establishing structured AI governance and management processes.
What You Will Learn
By the end of this course the participants will be able to:
- Interpret the purpose, scope and management-system logic of ISO/IEC 42001.
- Assess organizational context and define an appropriate AIMS scope.
- Map leadership responsibilities, policies and objectives for AI management.
- Develop an approach for AI risk and impact assessment.
- Design operational controls and supporting documentation for AI activities.
- Plan competence, awareness, communication and documented-information requirements.
- Prepare performance-evaluation, internal-review and improvement mechanisms.
- Develop a phased implementation plan for an organizational AIMS.
Course Duration
- Classroom ā 5 Days
- Online ā 7 Days
Course Outline
AIMS Fundamentals
- Purpose of an AI management system
- Management-system structure
- Applicability to AI providers and users
- Relationship with organizational governance
- Implementation roles and responsibilities
Organizational Context
- Internal and external issues
- Interested parties and expectations
- AI use-case boundaries
- Determining AIMS scope
- Interfaces with existing management systems
Leadership Requirements
- Leadership commitment
- AI policy requirements
- Accountability and assigned responsibilities
- Governance interfaces
- Management sponsorship for implementation
Planning Framework
- AI risks and opportunities
- AI impact considerations
- Objectives and planning actions
- Risk treatment logic
- Change planning for the AIMS
Support Processes
- Resources for AI management
- Competence requirements
- Awareness and communication
- Documented information
- Knowledge and evidence management
Operational Controls
- AI lifecycle operational planning
- Responsible-use controls
- Data-related controls
- Third-party and supplier controls
- Human oversight and operational approvals
Impact Management
- Impact-assessment triggers
- Stakeholder impact analysis
- Bias and fairness considerations
- Transparency and explainability needs
- Mitigation tracking and residual concerns
Performance Evaluation
- Monitoring and measurement
- AIMS performance indicators
- Control effectiveness review
- Management review inputs
- Reporting implementation performance
Internal Review
- Internal audit principles for AIMS
- Audit scope and criteria
- Evidence collection
- Nonconformity reporting
- Corrective-action follow-up
Implementation Roadmap
- Gap assessment methodology
- Implementation workstreams
- Prioritizing documentation and controls
- Roles, milestones and dependencies
- Readiness review and continual improvement
Practical Outputs
- AIMS scope statement
- Stakeholder and context map
- AI policy outline
- AIMS gap-assessment checklist
- AI risk and impact assessment template
- Implementation responsibility matrix
- AIMS implementation roadmap
Training Approach
The course combines standards interpretation with guided implementation workshops. Participants work clause-by-clause at a practical level, map requirements to existing organizational processes and complete a structured implementation case. Exercises focus on defining scope, assigning responsibilities, drafting management-system artifacts and determining what evidence would demonstrate effective implementation.
Organizational Benefits
- More structured organizational management of AI
- Clearer alignment between AI governance and management-system processes
- Improved documentation and accountability
- Stronger readiness for internal or external assessment
- Better integration with risk, security, privacy and quality systems
- A practical roadmap for phased AIMS implementation
Certification
Participants who successfully complete this course will receive a Certificate of Course Completion from Devimpact Institute, recognizing the knowledge, practical skills and competencies developed through the programme.
Tailor-Made Course
This course can be customized and delivered as an in-house programme to address the specific policies, systems, sector context and capacity-development priorities of an organization. The course duration, modules, case studies and practical exercises may be adjusted following a training needs assessment.
