Discover how to build AI-powered applications using the SQL language and tools you already know. In this full-day, hands-on workshop, explore how to extend your existing T-SQL and SQL Server skills to create intelligent applications that combine traditional relational data with modern AI capabilities—all while maintaining enterprise security, privacy, and governance.

Learn how to use T-SQL for semantic search, store and query vector embeddings alongside relational data, and implement Retrieval-Augmented Generation (RAG) to ground AI responses in trusted business information. Explore how SQL Server can serve as a secure foundation for integrating AI models and services without unnecessarily moving or exposing sensitive data.

Through practical exercises, discover how to apply familiar SQL security features, including roles, permissions, and auditing, to AI-enabled applications. You'll gain experience building intelligent, data-driven solutions that leverage the power of generative AI while keeping your organization's data secure, governed, and under your control.

You Will Learn:

• Build AI-Powered Applications with T-SQL: Use SQL Server, vector embeddings, and semantic search to enable intelligent data retrieval and AI-driven application experiences.
• Implement RAG with Trusted SQL Data: Integrate generative AI models with SQL-based data sources to deliver more accurate, relevant, and grounded AI responses.
• Secure and Govern AI Applications: Apply SQL Server security, access controls, and governance practices to protect sensitive data and responsibly integrate AI capabilities into enterprise applications.

Attendee Requirements:

• You must provide your own laptop computer (Windows or Mac) for this hands-on lab.
• All other requirements will be posted two (2) weeks prior to the conference