Queries with OpenAI: Translate Natural Text to SQL
Ever wanted to seamlessly translate natural language into actionable insights from your data? This Guided Project was created to help learners develop the skillset necessary to utilize OpenAI GPT to generate complex SQL queries from natural language prompts to elicit insights against a real sql database. In this project-based course, spanning 2-hours, you will load data from a CSV file and convert it to a local Pandas dataframe. You will create an SQL-like table definition prompt based on the dataframe.
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- Level Intermediate
- Duration 3 hours
- Course by Coursera Project Network
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Offered by
About
Ever wanted to seamlessly translate natural language into actionable insights from your data? This Guided Project was created to help learners develop the skillset necessary to utilize OpenAI GPT to generate complex SQL queries from natural language prompts to elicit insights against a real sql database. In this project-based course, spanning 2-hours, you will load data from a CSV file and convert it to a local Pandas dataframe. You will create an SQL-like table definition prompt based on the dataframe. You will use this as well as a user query to build a comprehensive GPT prompt to elicit a real SQL query which we will then use to interact with our data. By the end of this project you will have built a powerful tool that can convert a natural language questions into SQL queries and interactively pull insights from a real-world dataset. In order to be successful with this project you should have some experience in Python programming, working with GPT or GPT API, a working understanding of SQL and a credit card for tokens to use with OpenAI API. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.Modules
Your Learning Journey
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7
Videos
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3
Readings
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1
Plugin
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1
Lab
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1
Assignment
1
Assignment
- Assess Your Knowledge
1
Labs
- [Optional] Access Your GPT GenAI Playground
7
Videos
- Install Libraries and Configure OpenAI API
- Load and Inspect Data from CSV
- Practise Activity
- Create in-memory SQLite Database and Table From Data
- Craft SQL Prompt for OpenAI API
- Use Prompt To Generate SQL Query and Execute Against Database
- Cumulative Activity
3
Readings
- Project Overview
- [Optional] The GPT Generative AI Lab Playground
- Accessing Your Project Files
Auto Summary
Embark on a transformative learning experience with "Queries with OpenAI: Translate Natural Text to SQL." This engaging course, offered by Coursera, is designed for IT and Computer Science enthusiasts aiming to harness the power of OpenAI GPT for translating natural language into SQL queries. In this 2-hour, project-based course, you'll learn to load data from a CSV file into a Pandas dataframe, create SQL-like table definitions, and craft comprehensive GPT prompts. These skills will enable you to generate real SQL queries from natural language prompts, allowing you to extract actionable insights from real-world datasets. Ideal for those with intermediate Python programming skills, familiarity with GPT or GPT API, and a basic understanding of SQL, this course also requires access to a credit card for OpenAI API tokens. By the end of this hands-on project, you'll have developed a robust tool to convert natural language questions into SQL queries, enhancing your data interaction capabilities. This course is available for free, making it an accessible opportunity for learners to advance their skills in data querying and AI integration.
Rudi Hinds