Sector 01
Manufacturing
200 learners, 267 workshop hours, 6 modules
On the shop floor, artificial intelligence is not a curiosity. It already sits inside machine control, quality inspection and maintenance planning. We teach people to work with that layer, not to build it. A graduate should understand what the system suggests, when to trust it and what to do when the suggestion is wrong.
What employers asked for
- Process automation, named by 45 per cent of surveyed companies
- Quality control and defect detection, 42 per cent
- Predictive maintenance, 38 per cent
What the six modules cover
- Reading machine data and recognising when it drifts from the norm
- Vision systems in quality control: what they catch and what they miss
- Predictive maintenance, that is anticipating failures instead of reacting to them
- Working alongside a robot in an automated production cell
- The limits of trusting a system and the duty of human oversight
- Safety and accountability when an algorithm informs the decision
What a participant can do afterwards
- Read a predictive system's output and judge whether the alert is credible
- Explain to a supervisor what the system based its decision on
- Recognise when the algorithm is wrong and know who to report it to
Classes use real production line data shared by employers working with the partner organisations.
Other sectors
