End-to-End LLM Project Natural Language to SQL Application
Build an intelligent application that converts natural language into SQL using LLMs, Flask, and database schema
Updated on Sep, 2025
Language - English
Development ,Data Science,Machine Learning
Lectures -10
Duration -1.5 hours
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Course Description
- Introduction to LLM-Powered Applications
- Learn the key concepts behind using Large Language Models like GPT for SQL generation. Understand the application architecture and flow: from natural language input to query execution and result rendering.
- Setting Up Flask and Database Connections
- Build the backend using Flask. Learn how to securely gather and store user connection info (host, port, user, password) and connect to PostgreSQL, MySQL, or SQLite using SQLAlchemy.
- Integrating OpenAI API for SQL Generation
- Use the OpenAI API to turn natural language queries into syntactically correct SQL. You'll design prompts, configure models, and handle API response parsing and error handling in your Python code.
- Extracting Database Schema for Contextual Queries
- Dynamically fetch and format schema information for more accurate SQL generation. Explore how to retrieve table names and column data types from your connected database to guide LLM output.
- Improving Prompt Engineering and Query Accuracy
- Refine how prompts are structured based on schema info and query intent. Add custom logic for PostgreSQL-specific behaviors like case sensitivity and identifier quoting.
- Designing a Functional Web Interface with Flask
- Create a simple HTML interface for inputting queries and displaying SQL results. Learn how to maintain session state, format results, and handle common user and database errors.
Goals
- Build a complete Flask application with OpenAI’s LLM integration
- Automatically convert user questions into accurate SQL queries
- Extract live schema metadata from MySQL and PostgreSQL
- Refine prompt engineering to improve SQL generation precision
- Create a user interface to interact with and display database results
Prerequisites
- Some Python and Flask knowledge
- Understanding of SQL basics and relational databases
- Access to OpenAI API and a sample MySQL/PostgreSQL database
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction & Demo
1 Lectures
-
Introduction and Demo
01:37
01:37
Project Setup and Folder Structure
2 Lectures
Designing a Functional Web Interface with Flask
2 Lectures
Extracting Database Schema for Contextual Queries
2 Lectures
Improving Prompt Engineering and Query Accuracy
2 Lectures
Resources: Download and Run Project
1 Lectures
Instructor Details
Pawan Deore
Hey Pawan here.
I have been into tech from last 4 years and worked on multiple complex products and in addition to that I have done 250+ hobby projects just to explore new technologies and create content/ examples on things which are rare, unique to find on internet so other people can benefit from it.
Join me on this journey of learning and I will help you get better at what you do.
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