This is the repository for the LinkedIn Learning course Building AI-Ready Applications with Azure Data and AI. The full course is available from LinkedIn Learning.
In this course, explore how to build AI-ready applications using the robust data and AI services in Azure. From data preparation to interacting with language models, instructor Muazma Zahid covers essential topics for creating intelligent solutions. Muazma delves into advanced techniques such as retrieval-augmented generation (RAG) and shows you how to harness the power of large language models (LLMs) to enhance your applications.
- Visual Studio Code with mssql extension
- An Azure account with the necessary permissions to create and manage resources.
Services
- Azure OpenAI instance with a text-embedding-ada-002 deployment and a gpt-4 deployment.
- An Azure SQL Database
Key Information Needed
- Azure SQL Database Server Name
- Azure SQL Database Name
- Azure OpenAI Endpoint Name
- Azute OpenAI Endpoint Key
- Creating to Your Free Azure SQL Database: Get started with your own Azure SQL Database.
- Connecting to Azure SQL Database: Get connected with your Azure SQL Database.
- Creating Embedding, and Storing in SQL Database: Dive into the process of embedding and storing data using SQL.
- Vector Search with Vector Functions: Utilize vector functions for efficient search capabilities.
- Create a Chat Application: Build an application for searches and talk with your data.
A special thanks to all the contributors and maintainers of this repository, special thanks to Brian Spendolini for the examples.
Please create a GitHub issue in the repository if there any any issues or errors.
Muazma Zahid
Principal Engineering Manager at Microsoft and President of PWiC
Check out my other courses on LinkedIn Learning.