Proposed learning outcomes
- Explain machine-learning and generative-AI fundamentals
- Prepare simple datasets and evaluate model outputs
- Run introductory experiments with local AI tools
- Identify privacy, security, bias and reliability concerns
Illustrative learning sequence
- Module 1 — Computing and Python foundations
- Module 2 — Data and model concepts
- Module 3 — Local AI inference and evaluation
- Module 4 — Responsible AI and project documentation
Example project
Document and evaluate a small local AI assistant using a defined test set. No student data or private infrastructure access is required.