AI solution architecture
Design the whole solution: components, data, security, costs.
- Block code
- ISA-ARC
The format
Three months, two hours a day.
- Certificate programme · 128 h
- Two hours a day
- 250,000 F — the same fee for all sixty
- All in the same format, at the same fee.
The qualification
A CQP under MINEFOP accreditation.
- Leads to the CQP — Certificat de Qualification Professionnelle, which the ministry used to call the AQP.
- Awarded under MINEFOP accreditation.
- The full programme for the same profession remains open to anyone aiming for the complete qualification.
Sessions
A new session opens every quarter.
Next intake: Monday 5 October, with enrolment open until 9 October. The following one starts on 4 January 2027.
- First-quarter intake — enrolment closes on 9 October5 Oct.
- Second-quarter intake — 20274 Jan.
Objectives
What you will be able to do.
Run a scoping interview and get a sponsor to talk
Define the use case, success criterion and expected value
Assess feasibility: data, technical, regulatory, human
Design an architecture: components, flows, trust boundaries
Choose between hosted and self-hosted on grounds of sovereignty, cost and skills
Address AI-specific threats: injection, prompt-based exfiltration, poisoning
Calculate the full cost and defend a decision paper before a committee
Programme
Four modules.
Module 0132 h Module 0232 h Designing the technical architecture
Module 0332 h Security and confidentiality of AI systems
Module 0432 h Costing, selection and decision paper
Who it is for
Who it is aimed at.
- Learners who have built at least one complete AI solution — in practice, those who have completed Generative AI solutions integrator and one of the next two blocks. The block is also aimed at IT managers.
Afterwards
Where it leads.
- AI solution architect, pre-sales consultant, AI project manager. This is the block that takes you from developer to designer.
Method
How it works.
Systematic alternation between short theory sessions and practical work, with most of the time spent on practice
Progression from simple to complex: each module builds on what was learnt in the previous one
Realistic role-plays drawn from Cameroonian business cases
Considered use of generative AI as a working tool, in line with the common core
Regular formative assessments and a final integrative project drawing on all four modules
Assessment
How you are assessed.
Formative assessment at the end of each module (graded role-play and practical exercises)
Practical work assessed against competency sheets
Final integrative project, presented and defended before the trainer
One graded assignment per module in the online course space
Tools
What you work with.
Architecture diagramming tool
Feasibility grid and scoping note template
Costing and sensitivity analysis spreadsheet
Security frameworks for AI systems (OWASP LLM Top 10)
Compliance file template
Keep exploring
In the same field.
Join the next session
Ready to get started?
Sessions open every quarter. Apply now or request the detailed brochure — our advisers will get back to you.