Mastering AI Agents for Databases

Coursera MOOC / Non-credit USD 49
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Mastering AI Agents for Databases

About this course

Unlock the potential of AI agents in database management with this hands-on course. Learn to build intelligent solutions for both CSV and SQL databases using tools like LangChain, OpenAI’s function calling, and Assistants API. By the end of the course, you’ll have the expertise to streamline and optimize database interactions with cutting-edge AI technologies. 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.

What you'll learn

  • build AI agents for database management
  • integrate user interfaces using Streamlit
  • implement AI solutions for CSV and SQL databases
  • utilize OpenAI’s function calling and Assistants API

Course objectives

  • explain foundational concepts of AI agents
  • develop and optimize intelligent database solutions
  • handle both CSV and SQL data effectively

Skills you'll gain

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