- LLM applications
- Retrieval-augmented generation
- Vector search
- Tool calling and orchestration
- Evaluation and safety
- Deployment and monitoring
Suggested entry knowledge
Python fundamentals, APIs and basic data concepts.
- Explain RAG and tool-use patterns
- Build an API-connected prototype
- Evaluate groundedness and failure cases
Build a source-grounded knowledge assistant
A working retrieval assistant with cited responses, test questions, error analysis and safety checks.
