AI Agents for Databases Online Course

AI Agents for Databases Online Course

This course teaches you how to integrate AI agents with databases for smarter data management and analysis. You’ll start by exploring AI agents and their use cases, then set up your development environment and build your first agent with LangChain. Through hands-on practice, you’ll work with CSV and SQL database agents, customize responses, and enhance user interaction using Streamlit. You’ll also learn OpenAI’s function calling and the Assistants API for SQL databases, gaining the skills to build, test, and deploy AI-powered database solutions. By the end, you’ll be prepared to create efficient, real-world AI database applications and stay ahead in this evolving field.

Who should take this course?

This course is ideal for data engineers, database administrators, AI developers, and software engineers who want to leverage AI agents to manage, query, and optimize databases. It’s also great for tech enthusiasts and professionals looking to integrate AI-driven automation into database operations and analytics.

What you will learn

• Build and deploy AI agents for efficient database management
• Integrate and interact with CSV and SQL databases using AI agents
• Customize AI agent responses with advanced prompting techniques
• Develop user-friendly interfaces using Streamlit
• Implement OpenAI function calling for enhanced database functionalities
• Use OpenAI Assistants API for advanced AI-driven database solutions

Course Outline

Introduction

• Introduction
• Course Prerequisites

Setup Development Environment

• Development Environment Setup - Overview

AI Agents Deep Dive

• What is an AI Agent and How it Works
• AI Agents Use Cases

Building Database AI Agents - Deep Dive

• Building Your First AI Agent & LangChain Introduction
• Creating and Running the First AI Agent - Part 1
• AI Agent Flow - Console App
• Section Summary

Building Database Agents - CSV Agents

• CSV Agents - Overview and Scenario
• Reading the CSV File and Showing Extracted Data
• Build the CSV Agent and Interacting with the CSV Data
• Adding Prefix and Suffix Prompt to Customize Our Agent's Response
• Adding a UI with Streamlit
• Summary

Building Database Agents - SQL Database Agents

• SQL Database Agents - Overview
• Build the SQL Database from a CSV File
• Build the SQL Agent and Interacting with the SQL Database
• Adding Streamlit and Testing with More Queries
• Summary

OpenAI Function Calling & SQL Database

• Function Calling - Overview
• Creating a Simple Function Call and Tools
• Complete Function Calling Workflow and Seeing Results

Function Calling - Using Function Calling with Database AI Agents

• Function Calling with Database Agents - Setup
• Testing Functions Directly
• Using OpenAI Function Calling Feature with SQL Database
• Summary

OpenAI Assistants API - Leveraging the Assistants API for SQL Database AI Agents

• OpenAI Assistants API and SQL Databases
• Assistants API - Full Overview
• Create an Assistant API and Query a SQL Database - Full Hands-on

Wrap Up

• What's Next