# AI foundations and responsible use

> Understand learning tasks, datasets, honest evaluation, privacy and human responsibility. No paid AI tool is required.

Prerequisites: Basic computing and reading simple tables.

Short self-study course; not an accredited qualification or a complete university syllabus.

## Lessons

- [AI, machine learning and useful problem definitions](https://studybrix.com/en/courses/ai-foundations/ai-foundations/index.md): school; 8 questions.
- [Examples, features, labels and data quality](https://studybrix.com/en/courses/ai-foundations/ai-datasets/index.md): school; 8 questions.
- [Training, validation and honest testing](https://studybrix.com/en/courses/ai-foundations/ai-evaluation-basics/index.md): school; 8 questions.
- [Responsible AI, fairness and verification](https://studybrix.com/en/courses/ai-foundations/ai-responsible/index.md): school; 8 questions.