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README.md
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README.md

Building Your Own Database Agent

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We’re excited to launch a new course on agentic AI in collaboration with Microsoft: Building Your Own Database Agent.

In this course, taught by Adrian Gonzalez Sanchez, Data & AI Specialist at Microsoft, you will develop an AI agent that interacts with tabular data and SQL databases using natural language, simplifying the process for querying and extracting insights.

You’ll gain hands-on experience with the Azure OpenAI Service, implementing techniques like Retrieval Augmented Generation (RAG) and function calling, and you’ll test the Assistants API with features like code interpreter.

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What you’ll do, in detail:

  • Learn about the levels of knowledge customization with Azure OpenAI Service, focusing on RAG to build your first AI agent, deploy your instance, test the API, and set up an orchestration engine like LangChain to enable these scenarios.
  • Load tabular data from a CSV file and perform natural language queries using Azure OpenAI to extract information quickly, and learn to reapply the agent to analyze your own CSV files.
  • Implement LangChain agents to connect to a provided SQL database, and how to build a DB agent that translates natural language to SQL code.
  • Use Azure OpenAI Service's function calling feature to use pre-built functions for sending queries to databases, improving the efficiency and security of your SQL agent.
  • Work with the Assistants API and test it with the function calling and code interpreter features, which will enable you to connect to SQL databases and create your own DB agents more efficiently.

This course is designed for developers, data professionals, as well as business analysts and professionals who want more sophisticated interaction with their databases through natural language instead of advanced SQL queries.

Details

  • Interact with tabular data and SQL databases using natural language, enabling more efficient and accessible data analysis.
  • Gain hands-on experience with the Azure OpenAI Service, implementing techniques like Retrieval Augmented Generation (RAG) and function calling.
  • Use Azure OpenAI Service’s Assistants API, and test it with function calling and code interpreter features.

https://learn.deeplearning.ai/courses/building-your-own-database-agent

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