Generating SQL Queries from Natural Language
Learn how to prompt an LLM to translate plain English questions into correct SQL by supplying schema context, examples, and safety guardrails.
Text-to-SQL Overview
One of the most practical developer uses of LLMs is turning a plain question like How many orders shipped last week? into a runnable SQL query.
Done well, it lets non-experts query data and speeds up everyday analysis.
The Model Needs the Schema
An LLM cannot guess your table and column names. Always include the relevant schema in the prompt so it references real fields.
Schema:
orders(id, customer_id, status, total, created_at)
customers(id, name, country)All lessons in this course
- Code Generation & Refactoring
- Debugging & Test Case Generation
- Data Extraction & Summarization
- Generating SQL Queries from Natural Language