Programme content
What modern AI is and is not
Guided explanation, practical examples and an applied task focused on what modern ai is and is not.
Machine learning and model behaviour
Guided explanation, practical examples and an applied task focused on machine learning and model behaviour.
Generative AI and LLMs
Guided explanation, practical examples and an applied task focused on generative ai and llms.
Prompting and workflow design
Guided explanation, practical examples and an applied task focused on prompting and workflow design.
Evaluation, risk and responsible use
Guided explanation, practical examples and an applied task focused on evaluation, risk and responsible use.
Applied AI workflow challenge
Guided explanation, practical examples and an applied task focused on applied ai workflow challenge.
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.