Designer of augmented document systems
Make a model answer from the company's own documents, without inventing.
- Block code
- ISA-RAG
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.
Extract text from PDFs, office documents, web pages and scanned documents
Split a corpus while respecting its structure and the scope of context
Partition by access rights and by client from ingestion onwards
Implement vector search, then hybrid search with reranking
Diagnose a failure: wrong passage retrieved or faulty generation
Obtain grounded, cited generation, with controlled refusal
Put a document assistant into service and close the loop on user feedback
Programme
Four modules.
Module 0132 h Module 0232 h Vector search and hybrid search
Module 0332 h Cited generation and preventing fabrication
Module 0432 h Putting a document assistant into service
Who it is for
Who it is aimed at.
- Learners who have integrated a model API — in practice, those who have completed Generative AI solutions integrator. Some knowledge of databases and file processing is required.
Afterwards
Where it leads.
- Designer of augmented document systems, enterprise search engineer, internal assistant developer.
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.
Extraction libraries: PDF, office documents, HTML; a text recognition engine
A multilingual embedding model and a vector database
A keyword search engine for the hybrid part
A reranking model
A lightweight query interface
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.