This is the repository for the LinkedIn Learning course Build with AI: SQL Agents with Large Language Models. The full course is available from LinkedIn Learning.
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.
Rami Krispin
Senior Manager, Data Science and Engineering
Check out my other courses on LinkedIn Learning.