Database AI Agents Complete Guide
 
Leverage Generative AI, LangChain, and function-calling to build next-generation database agents that query CSVs, SQL databases, and more using natural language.
 
What You’ll Learn
Master Database AI Agents
Understand how AI agents work and use them to translate natural-language questions into accurate database operations.
Build Agents with LangChain
Construct intelligent agents capable of reading, interpreting, and querying structured data from CSVs, SQL databases, and relational datasets.
Implement Function Calling
Teach your agents to run custom functions—executing SQL queries, parsing data, and returning structured, reliable results.
Develop Interactive Data Apps
Build responsive, user-friendly applications with Streamlit, enabling real-time querying and dynamic AI-driven responses.
 
Requirements
Basic Python skills (recommended for following examples and hands-on projects)
OpenAI API Key (required for model capabilities; minimal usage costs may apply)
 
Course Description
 
Database AI Agents: Complete Guide is your end-to-end training program for building intelligent, natural-language database systems powered by AI. Whether you're a developer, data professional, business analyst, or an AI enthusiast, this course gives you the tools to create fully functional database agents that understand queries, reason over data, and deliver meaningful insights.
 
Inside the course, you’ll explore:
How AI agents interpret natural-language prompts and convert them into structured SQL queries
How LangChain orchestrates reasoning, memory, tools, and function-calling
How to connect agents to CSVs and SQL databases for real-time interaction
How to build interactive dashboards and interfaces using Streamlit
How to deploy AI-powered data systems that improve workflow automation and decision-making
By the end, you’ll be confident creating dynamic, production-ready database agents and interactive applications that elevate how teams query and analyze data.
 
Key Topics Covered
Foundations of AI agents and their real-world use cases
Deep dive into LangChain components (tools, agents, function calling, memory)
Building agents for CSV and SQL-based data
Engineering robust function-calling pipelines for structured database interactions
Designing and deploying interactive, AI-driven applications with Streamlit
 
Course Highlights
Hands-on projects with practical, real-world datasets
Clear, step-by-step walkthroughs of every major feature
Best practices for building reliable, production-ready AI agents
Real examples of natural-language querying and automated reasoning
Supportive learning community and expert instructor guidance
 
Who Should Enroll
Developers & Programmers
Expand your AI engineering skills by building intelligent, agent-powered applications that integrate tightly with databases.
Data Professionals
Automate complex querying, boost analysis workflows, and empower non-technical users with natural-language access to data.
Business Analysts
Leverage AI to extract insights from large datasets without writing SQL—ask questions, get answers instantly.
Tech Enthusiasts
Explore the future of AI-powered data interaction and build your own interactive applications.
 
Prerequisites
Basic programming knowledge (Python recommended)
Familiarity with SQL and relational databases
A computer with internet access
OpenAI API key for AI functionality