Programme content
Aviation data and AI opportunity mapping
Guided explanation, practical examples and an applied task focused on aviation data and ai opportunity mapping.
Predictive maintenance concepts
Guided explanation, practical examples and an applied task focused on predictive maintenance concepts.
Operations, scheduling and optimisation
Guided explanation, practical examples and an applied task focused on operations, scheduling and optimisation.
Computer vision in aviation contexts
Guided explanation, practical examples and an applied task focused on computer vision in aviation contexts.
NLP and information workflows
Guided explanation, practical examples and an applied task focused on nlp and information workflows.
Passenger and service applications
Guided explanation, practical examples and an applied task focused on passenger and service applications.
Safety, reliability and human oversight
Guided explanation, practical examples and an applied task focused on safety, reliability and human oversight.
Data governance and sensitive information
Guided explanation, practical examples and an applied task focused on data governance and sensitive information.
Prototype design and evaluation
Guided explanation, practical examples and an applied task focused on prototype design and evaluation.
Final aviation AI use-case presentation
Guided explanation, practical examples and an applied task focused on final aviation ai use-case presentation.
Learning outcomes
- Explain the core technical concepts accurately.
- Apply the relevant methods in guided practical work.
- Test and improve outputs systematically.
- Complete an applied challenge or capstone.
- Present the final work and justify key decisions.