UNIVO School of AIFind your programme
2026 curriculum preview · Proposed live programmes; cohort dates, fees and teaching assignments are being finalised.
All programmes / Industry

LIVE ONLINE · APPLIED PROFESSIONAL

AI in Manufacturing

Apply AI to maintenance, quality and operational knowledge with plant safety in view.

12 weeks48 live hoursCapstone + live defence

YOUR LEARNING JOURNEY

From understanding
to application.

Curriculum 2026.09Reviewed 2026-09-07
01
WEEKS 1–2 · 8 LIVE HOURS

Industrial data and AI opportunities

  • MES, SCADA, ERP and sensor data
  • Data quality and time-series basics
  • Edge versus cloud tradeoffs
  • OEE, downtime and quality baselines
Your practical output

Map a plant use case and its data and operational constraints.

Submit the working artefact and a short evidence note; discuss feedback in the live clinic.
02
WEEKS 3–4 · 8 LIVE HOURS

Maintenance and anomaly detection

  • Preventive versus predictive maintenance
  • Sensor features and temporal validation
  • Failure imbalance and false alarms
  • Remaining-life uncertainty
Your practical output

Evaluate a maintenance model against a simple threshold baseline.

Submit the working artefact and a short evidence note; discuss feedback in the live clinic.
03
WEEKS 5–6 · 8 LIVE HOURS

Computer vision and quality

  • Defect datasets and annotation
  • Precision-recall and missed-defect costs
  • Lighting and domain shift
  • Human inspection and escalation
Your practical output

Create a quality inspection evaluation and acceptance plan.

Submit the working artefact and a short evidence note; discuss feedback in the live clinic.
04
WEEKS 7–8 · 8 LIVE HOURS

Industrial knowledge and planning copilots

  • Grounded SOP and manual retrieval
  • Maintenance work-order assistance
  • Demand and inventory planning
  • Supervisor-approved enterprise actions
Your practical output

Build an SOP assistant with traceable answers and access limits.

Submit the working artefact and a short evidence note; discuss feedback in the live clinic.
05
WEEKS 9–10 · 8 LIVE HOURS

Digital twins, safety and OT governance

  • Simulation fidelity and validation
  • Robotics concepts and physical safety limits
  • OT network isolation and cybersecurity
  • Worker privacy and change management
Your practical output

Produce a simulation brief and an OT risk register.

Submit the working artefact and a short evidence note; discuss feedback in the live clinic.
06
WEEKS 11–12 · 8 LIVE HOURS

Factory studio and live defence

  • Pilot economics and failure review
  • Shadow-mode testing
  • Monitoring and rollback
  • Workforce enablement
Your practical output

Demonstrate the pilot and defend its operational acceptance criteria.

Submit the working artefact and a short evidence note; discuss feedback in the live clinic.