SQL AI App in a Day

Build AI-powered applications using the SQL skills you already have

AI projects rely on good data, and for many organisations, SQL remains the foundation. But how do you start bringing AI into applications without moving data, changing tools, or creating new security concerns?

SQL AI App in a Day is a free, hands-on workshop designed for SQL developers, data professionals, and DBAs who want to build AI-powered applications using T-SQL and SQL Server.

You’ll learn how to extend the skills you already use to support AI scenarios such as intelligent retrieval and Retrieval-Augmented Generation (RAG), while keeping data secure and under your control.

Hosted in partnership with Microsoft, this one-day workshop will show you how to use SQL to build AI-enabled applications using the language, security model, and governance processes you already know.

What you’ll learn

During the workshop, you’ll explore how to:

• Use T-SQL to support AI-driven search and retrieval beyond traditional keyword queries
• Store and work with vectors and embeddings alongside relational data in SQL
• Build Retrieval-Augmented Generation (RAG) solutions using SQL as the data source
• Use SQL Server to securely connect with AI models
• Apply existing SQL security controls and governance to AI workflows
• Improve AI accuracy by grounding responses in trusted business data

Why use SQL for AI?

SQL has been at the centre of managing business-critical data for decades. This workshop shows how existing SQL skills can support modern AI applications without starting from scratch.

You’ll learn how to:

• Build on SQL patterns and processes you already use
• Keep sensitive data within your SQL environment, reducing unnecessary movement and risk
• Apply familiar security controls including permissions, roles, and auditing
• Develop AI solutions with governance and security built in

Security and governance remain a priority

This workshop also focuses on using AI responsibly.

You’ll see how to:

• Keep data within your SQL environment and control what is shared externally
• Continue using SQL permissions and role-based access to manage access
• Audit and control how external AI services are used
• Reduce the risk of inaccurate outputs by grounding responses in trusted SQL data

Who should attend?

This workshop is suitable for:

• SQL developers and database professionals
• Database administrators (DBAs)
• Application developers working with SQL Server or Azure SQL
• Architects exploring AI adoption while maintaining security and governance
• Teams looking to introduce AI using existing tools and skills