Generative AI solutions integrator
Plug a language model into a business application and make it hold.
- Block code
- ISA-DEV
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 2 October. The following one starts on 4 January 2027.
- First-quarter intake — enrolment closes on 2 October5 Oct.
- Second-quarter intake — 20274 Jan.
Objectives
What you will be able to do.
Understand what a language model can do, what it cannot do, and what it costs per token
Choose between a hosted model and an open model according to confidentiality and budget
Consume a model API: messages, parameters, streaming, structured outputs
Industrialise the call: retries, rate limits, graceful degradation
Write prompts at application scale and test them for regressions
Demonstrate a prompt injection and put countermeasures in place
Build an evaluation set and decide on going live based on figures
Programme
Four modules.
Module 0132 h Module 0232 h Consuming a model API and industrialising the call
Module 0332 h Prompt engineering at application scale
Module 0432 h Evaluating a generative system
Who it is for
Who it is aimed at.
- Learners who can program and call an API — in practice, those who have completed a development block. No prior knowledge of machine learning is required.
Afterwards
Where it leads.
- AI solutions integrator, augmented application developer, prompt engineer. This is the entry block of the ISA programme.
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.
Claude, OpenAI or equivalent API, with a controlled budget
Ollama or vLLM to run an open model locally
A framework for calls and schema validation
A tool for tracking prompts and evaluations
Dashboard tracking spending per call
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.