Core learning areas
- AI capabilities, limitations, model behaviour and responsible use
- Prompt structure, context, examples, tools and grounded knowledge workflows
- Evaluation, privacy, human review, automation design and productivity projects
Home / Academy / Artificial Intelligence & Prompt Engineering
AI & DataArtificial Intelligence & Prompt Engineering
AI fundamentals, responsible prompting, assistants, workflows, evaluation and productivity.
Ask about this programme ↗Detailed overview
What the learning journey covers.
This practical programme combines clear instruction, guided laboratories, applied assignments and demonstrable project outcomes.
Capability outcomes
- Use generative AI deliberately instead of by trial and error
- Design reusable prompts and grounded assistant workflows
- Evaluate outputs for quality, safety and practical usefulness
Learning model
Learn, practise, build and present.
Format, duration, fees, prerequisites and cohort dates are confirmed for each intake or corporate brief. Completion evidence depends on attendance and assessment.
- 01
Foundation
Understand the concepts, tools, safety and context.
- 02
Guided practice
Apply each capability through supervised exercises.
- 03
Project work
Combine skills in realistic tasks with feedback.
- 04
Evidence
Present a capstone or assessed practical outcome.