Building Your Own Database Agent

Resumen

In this course, Building Your Own Database Agent, you'll create an AI agent that interacts with databases through natural language, simplifying querying and extracting insights. Partnered with Microsoft and led by Adrian Gonzalez Sanchez, Data and AI Specialist at Microsoft, this course caters to developers, data professionals, business analysts, and anyone wanting to interact with databases using natural language instead of advanced SQL queries.

What you’ll do in this course:

1. Explore knowledge customization with Azure OpenAI Service, focusing on RAG to build your first AI agent.

   You'll deploy your Azure OpenAI Service instance, test the API, and set up an orchestration engine like LangChain to enable these scenarios.

2. Load tabular data from a CSV file and perform natural language queries using the Azure OpenAI Service to quickly extract information. You'll learn to reapply the agent to analyze your own CSV files.
3. Implement LangChain agents to connect to a provided SQL database and learn how to build a DB agent that translates natural language into SQL code.
4. Utilize Azure OpenAI Service’s function calling feature for sending queries to databases, enhancing the efficiency and security of your SQL agent.
5. Work with the Assistants API and test it with the function calling and code interpreter features.

   This will enable you to connect to SQL databases and create your own DB agents more efficiently.

By the end of the course, you'll have the technical knowledge and practical experience to implement similar systems in your own projects or organizations, enabling more efficient and accessible data interaction and analysis.

University:

Provider:

Coursera

Categories:

Data Analysis Courses, LangChain Courses

Materias