Database AI Agents: Complete Guide [NEW]

Name: Database AI Agents: Complete Guide [NEW]
Rating: 4.4 (1013 reviews)

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

Created byPaulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor

Last updated 11/2024

English

What you'll 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.

Course content

12 sections • 35 lectures • 2h 21m total length

Introduction1:26
Develop ai agents that interact with tabular data and sql databases using function calls and the OpenAI systems API, enabling natural language queries on csv data.
Course Prerequisites1:08
Know at least basic Python and object-oriented programming concepts before enrolling. The course blends theory and hands-on practice to build vocabulary and understanding of the key concepts.

Building Your First AI Agent & Langchain Introduction1:40
Creating and Running the First AI Agent - Part 17:47
Set up a Python virtual environment, install dependencies from requirements.txt, and configure your OpenAI API key to build and run the first AI agent with LangChain.
AI Agent Flow - Console App3:15
Section Summary0:58
Build your first agent using a GPT-3 powered model wrapped by LangChain, then extend to a CSV agent that can extract and query tabular data with OpenAI.

CSV Agents - Overview and Scenarion1:37
Leverage CSV agents to interact with CSV tabular data by extracting and analyzing CSV files with an OpenAI model and LangChain, enabling agents to answer queries.
Reading the CSV File and Showing Extracted Data2:49
Build the CSV Agent and Interacting with the CSV Data6:42
Adding Prefix and Suffix Prompt to Customize Our Agent's Response10:54
Create and apply prefix and suffix prompts to guide a CSV analysis with a large language model, using pandas options, column names, and cross-method checks to ensure consistent results.
Adding a UI with Streamlit5:29
Add a Streamlit-based user interface to preview the dataset, input questions, and run a query against a CSV agent, producing results in markdown output.
Summary1:39

Function Calling with Database Agents - Setup5:21
Set up a database agent with function calling, define sql tools and functions like average salary, female count for division, and overtime pay, then run conversations to trigger right function.
Testing Functions Directly1:17
Test database ai agents functions by calling average salary and female count for a division and print results. Copy the code and comment it out to test functions.
Using OpenAI Function Calling Feature with SQL Database3:39
Summary1:03

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.

Description

Unlock the potential of artificial intelligence with Mastering Database AI Agents: Build Interactive Applications with LangChain. This comprehensive course empowers you to create sophisticated AI agents capable of interacting with databases using natural language. Perfect for developers, data professionals, business analysts, and tech enthusiasts, this course will elevate your skills and enhance your ability to build AI-driven applications.

What You'll Learn

Understand AI Agents: Grasp the core concepts of AI agents and their applications in solving complex database-related problems.
Build with LangChain: Use the LangChain framework to construct AI agents that can seamlessly read, interpret, and query data from CSV files and SQL databases.
Implement Function Calling: Learn to implement function calling within AI agents, enabling efficient execution of specific database queries and returning structured results.
Develop Interactive Applications: build user-friendly, interactive applications that allow dynamic AI-driven query responses.

Key Topics Covered

Introduction to AI agents and their practical uses
Detailed walkthrough of the LangChain framework
Creating AI agents that can handle CSV and SQL data
Implementing advanced function calling for database interactions
Building interactive applications

Course Highlights

Practical projects and real-world examples
Step-by-step instructions for building and deploying AI agents
Insights into creating dynamic, user-interactive applications
Access to a community of learners and expert instructors for support

Who Should Enroll

Developers and Programmers: Enhance your AI and database interaction skills to build advanced applications.
Data Professionals: Automate and streamline data querying and analysis tasks with AI.
Business Analysts: Utilize AI to extract meaningful insights from large datasets using natural language queries.
Tech Enthusiasts: Explore AI agents and interactive applications to stay ahead in the tech world.

Prerequisites

Basic programming knowledge (Python recommended)
Understanding of SQL and databases
Computer with internet access
OpenAI API key (minimal costs may apply)

Join us on Udemy and transform your approach to database interactions with AI. Enroll now to start building powerful, AI-driven applications today!

Who this course is for:

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.

Database AI Agents: Complete Guide [NEW]

What you'll learn

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Course content

Introduction2 lectures • 3min

Code and Resources2 lectures • 2min

Setup Development Environment1 lecture • 2min

AI Agents Deep Dive2 lectures • 9min

Building Database AI Agents - Deep Dive4 lectures • 14min

Check in1 lecture • 1min

Building Database Agents - CSV Agents6 lectures • 29min

Building Database Agents - SQL Database Agents5 lectures • 25min

OpenAI Function Calling & SQL Database3 lectures • 22min

Function Calling - Using Function Calling with Database AI Agents4 lectures • 11min

Requirements

Description

Who this course is for: