Mastering AI Agents for Databases

Instructor: Packt - Course Instructors

What you'll learn

  •   Build and deploy AI agents for CSV and SQL databases with customized workflows.
  •   Utilize OpenAI’s function calling to streamline database interactions.
  •   Create user-friendly interfaces for AI agents using tools like Streamlit.
  •   Leverage Assistants API to design robust solutions for database querying.
  • Skills you'll gain

  •   SQL
  •   Prompt Engineering
  •   Natural Language Processing
  •   OpenAI
  •   Database Application
  •   Generative AI Agents
  •   Databases
  •   Database Management
  •   Artificial Intelligence
  •   Python Programming
  •   Development Environment
  • There are 10 modules in this course

    Begin with the foundational knowledge of AI agents, exploring their applications and development environment setup. Progress to building your first AI agent, understanding its flow, and integrating user-friendly interfaces with Streamlit. You’ll dive deep into constructing database-specific agents, starting with CSV data and transitioning to SQL databases for advanced functionality. Advance your skills with OpenAI’s function calling to enhance database workflows, and leverage the Assistants API to build robust solutions for querying and managing SQL databases. Through practical examples and guided implementation, you’ll master AI-driven database solutions. Ideal for developers, data engineers, and AI enthusiasts with Python and database knowledge, this intermediate course equips you with skills that are future-ready for AI-powered data management.

    Setup Development Environment

    AI Agents Deep Dive

    Building Database AI Agents - Deep Dive

    Building Database Agents - CSV Agents

    Building Database Agents - SQL Database Agents

    OpenAI Function Calling & SQL Database

    Function Calling - Using Function Calling with Database AI Agents

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

    Wrap Up

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