SQL (Structured Query Language) is a programming language used to manage data stored in relational databases, which store structured data in tables. Its syntax is easy to read, so it’s easy to pick up on even if you’re completely new to programming, and it’s even useful for non-technical careers.

SQL allows you to pull data from databases. It helps Data Scientists and Analysts collect and prepare data for analysis and visualization, and Marketers can use it to learn more about how different types of content perform with their audience.

What kind of jobs use SQL?

Learning SQL is a must for any jobs that require (or can benefit from) working with data. This includes Back-End and Full-Stack Developers, Database Administrators, Data Scientists and Analysts, Business Analysts and Strategists, and Marketing and Sales Specialists.

Why should I use AI to help me write SQL?

Large Language Models like ChatGPT, Gemini, or Claude are trained on massive datasets including many SQL queries and results. Because of this training, they can generate standard queries when given natural language prompts. This can speed up the process of moving from a data question in English or another language to a structured query in correct SQL syntax. The AI models can also propose analytics ideas, help with debugging, and more.

Free

Course

Learn How to Use AI for SQL

Learn to generate SQL with AI, transform natural language to SQL, and utilize LLMs for SQL operations in our innovative course.

This course includes

5,764 learners enrolled

This course includes

Skill level
Beginner
Time to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary

1 hour
Projects
1
Prerequisites
3 courses

We suggest you complete the following courses before you get started with Learn How to Use AI for SQL:
Intro to SQL
Learn SQL: Aggregate Functions
Learn SQL: Multiple Tables

About this course

Discover how to enhance your database analytics using AI technology. This course will guide you on how to employ AI systems like ChatGPT or Gemini for everything from brainstorming analytics ideas to writing and analyzing SQL queries. Along the way, we’ll dive into the ethics of using AI as well as potential pitfalls such as hallucinations, data security, and legal questions. Harness the combined power of human expertise and artificial intelligence to unlock new insights from your data.

Skills you'll gain

Generate SQL with AI
Use AI to debug and explain complex queries
Navigate potential pitfalls in working with AI for SQL

Syllabus

Learn AI for SQL
Learn how to use AI for SQL analytics.

lesson Learn AI for SQL
project Analyze AI Systems with SQL
quiz Learn AI for SQL
informational Next Steps
Certificate of completion available with Plus or Pro
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The platform

Hands-on learning

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Explore features

Projects in this course

practice Project
Analyze AI Systems with SQL
Use AI and SQL to analyze the rise of AI.

Meet the creator of the course

Meet the full team

Ada Morse

Data Science Instructional Designer at Codecademy

Ada is a Data Science Instructional Designer at Codecademy. Her background is in mathematics, with a Ph.D. focused on the design of self-assembling DNA nanostructures. Ada has worked on courses across our Data Science catalog, covering topics including Python, Excel, and Data Engineering.

Meet the full team

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