- Target occupation
- data technician, AI solutions integrator
- Level
- 5 — Senior technician and supervisor
- Duration
- 10 months
- Taught hours
- 700 h
- Credits
- 70
Framework
Competency blocks
Each block is assessed separately and stays acquired. That is what lets you resume an interrupted path without starting over.
Data processing pipelines
190 hours
Extraction, transformation, loading, scheduling, error recovery, quality
Analysis and reporting
170 hours
SQL, descriptive analysis, indicators, dashboards, distribution
Deploying models and assistants
200 hours
Pre-trained models, interface calls, writing instructions, retrieval augmentation, fitting into a process
Evaluating and monitoring outputs
100 hours
Test sets, accuracy measurement, drift detection, logging, inference cost
Professional conduct
40 hours
Documentation, flagging a doubtful output rather than shipping it, working with the business
Questions
How is this title awarded?
Through a workplace simulation before a panel of practitioners, together with a professional portfolio recording what you actually produced. An occupation is proven by practising it, not on paper.
What employment rate do you publish?
None, and that is deliberate: no cohort has yet completed this title. The six-month employment rate is this family's own indicator, and we will publish it once a cohort has produced one — not before. An invented figure here would be the first thing an employer checks.