# Generative AI, RAG and practical evaluation

> Practise clear prompting, retrieval-grounded workflows, evidence checking and permission-aware deployment.

Prerequisites: AI basics, reading and structured instructions.

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

## Lessons

- [Generative models, tokens and useful prompts](https://studybrix.com/en/courses/generative-ai-and-rag/ai-generative/index.md): school; 8 questions.
- [Retrieval-augmented generation and evidence grounding](https://studybrix.com/en/courses/generative-ai-and-rag/ai-rag/index.md): university; 8 questions.
- [Evaluating generated answers and retrieval systems](https://studybrix.com/en/courses/generative-ai-and-rag/ai-gen-evaluation/index.md): university; 8 questions.
- [AI system design, monitoring and safe tool boundaries](https://studybrix.com/en/courses/generative-ai-and-rag/ai-deployment/index.md): university; 8 questions.