Database AI Agents: Complete Guide [NEW]

Leverage AI and LangChain to Build Advanced Database Query Agents and Interactive Applications

Created by: Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor
Android, Flutter, AWS, Best Selling Instructor

What Will I Learn?

• Master Database AI Agents: Understand AI agents and use them to solve complex problems with natural language database interactions.
• Build AI Agents with LangChain: Create AI agents using LangChain to read, interpret, and query data from CSV files and SQL databases.
• Implement Function Calling: Enable AI agents to execute specific functions like querying databases and returning structured results.
• Develop Interactive Apps: Create interactive applications with Streamlit for user queries and dynamic AI responses.

Requirements

• Basic Programming Knowledge: Familiarity with Python programming is recommended to follow along with the course content and examples.
• OpenAI API Key: An OpenAI API key is required to use the OpenAI services. Note that using the API might incur minimal costs.

Target audience

• Developers and Programmers: Individuals who are looking to expand their skills in AI and database interactions, and who want to learn how to create sophisticated AI agents using the LangChain framework.
• Data Professionals: Data analysts, data scientists, and database administrators who wish to leverage AI for automating data querying and analysis tasks, enhancing their productivity and efficiency.
• Business Analysts: Professionals who analyze business data and are interested in utilizing AI to generate insights from large datasets through natural language queries.
• Tech Enthusiasts: Anyone with a passion for technology and AI who wants to learn how to build interactive applications that can process and respond to user queries dynamically.