Build with AI: SQL Agents with Large Language Models
With Rami Krispin
Liked by 58 users
Duration: 1h 6m
Skill level: Beginner
Released: 10/16/2025
Course details
In this course, learn how AI SQL agents work and how to build an agent from scratch. Get started with the general architecture of an SQL agent and then delve into its various components. Instructor Rami Krispin shows you how to design a prompt engine and work with different LLM frameworks, such as OpenAI GPT 4.1, Google Gemini Flash 2.0, and Anthropic Cloud 4, using the Python client. Last but not least, Rami guides you through the essentials of building your own AI agent component from scratch using Python.
This course is integrated with GitHub Codespaces, an instant cloud development environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Hanjin Hu, Ph.D., P.E.
Hanjin Hu, Ph.D., P.E.
Building Tomorrow’s Infrastructure with Digital Solutions, Information Modeling, and AI.
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Contents
What’s included
- Learn on the go Access on tablet and phone
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