Using AI Features in Azure HorizonDB

Store, retrieve, and integrate data for AI systems using Azure HorizonDB

Enroll now for $195 USD !

Course Summary

Do you want to start working with AI-related features in Azure HorizonDB? Or is someone in your organization likely to start asking you about using databases this way? Either way, you need to be prepared!

As these features are relatively new, the focus of this course is on design and architecture decisions that remain valid, even as individual features, syntax, and external AI services evolve. But we’ll show you how to implement things right now.

This course is about using Azure HorizonDB to store, retrieve, and integrate data for AI systems, in a way that is reliable, understandable, and operationally sound. We assume you already understand SQL Server fundamentals and are comfortable working with PostgreSQL and database design.

• Are you responsible for deciding where AI-related logic should live, and where it should not?
• Do you need to support vector search, retrieval, or AI integration without turning the database into an experimental system?
• Do you want to understand Data API Builder and configuring an Azure HorizonDB MCP server?
• Have you been asked whether databases should be used for embeddings, RAG patterns, or AI orchestration, and wanted a clear answer that you can explain?

If that matches the kind of responsibility you have, you’re in the right place. You’ll get clear explanations, hands-on exercises, and short quizzes to make sure you not only understand the concepts but can confidently apply them in real Azure HorizonDB environments.

And while the practical exercises are optional, we strongly encourage completing them. They are designed to be straightforward and focused on realistic scenarios, rather than tooling complexity. Setup is easy. The main requirement is access to an Azure subscription where you can deploy an Azure HorizonDB resource.