AI for Data TeamsIntermediate
AI for Data Teams: LLMs, RAG and Reviewing AI Output
Use AI productively in data work, and know when not to trust it.
Syllabus · 4 modules · Sat–Sun, 10am–2pm IST
- LLM basics for data people · 3h
How models work, strengths, failure modes, hallucination - Prompting for data work · 4h
SQL generation, documentation, data quality rules, STTM drafts - Retrieval and vector search · 4h
Embeddings, chunking, RAG over metadata and documentation - Safe use and review · 5h
Data privacy, human gates, review checklists, measuring quality; capstone reviewed by the trainer
You will be able to: Explain how LLMs work and where they fail · Design prompts for SQL, documentation and data quality tasks · Build a simple retrieval (RAG) pipeline over your metadata · Set up review gates so AI output is checked before use · Keep personal and sensitive data out of AI tools
Fees on requestEnquire for fees and the next batch