Have a system carry out a multi-step task, under control.
Next intake: Monday 5 October, with enrolment open until 2 October. The following one starts on 4 January 2027.
Define tools a model can call and validate their arguments
Design an agent loop with explicit stopping conditions
Trace every step and every execution argument
Measure an agent's cost and latency before deploying it
Connect an agent to the information system under a service account with limited rights
Place a human checkpoint wherever the action is irreversible
Set guardrails, supervise, and provide for an emergency stop
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
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
Model API with function calling
An MCP-style tool protocol
n8n or equivalent for process orchestration
A sandbox of simulated internal APIs
Structured logging and an execution dashboard
Sessions open every quarter. Apply now or request the detailed brochure — our advisers will get back to you.