November 11th, 2026
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Resources for the SQL AI Developer

Principal Program Manager

I know you have work to do. Between SQL’s latest announcements and your next deadline, you need time to understand what matters and how it fits your business. Personally, I organize the opportunity around three agentic stories. They help me explain where SQL is going and why. Spoiler alert: I want you to consider DP-800.

The first story is the agentic DBA: helping administrators investigate issues and manage a growing database estate. Database Hub in Microsoft Fabric, currently in preview, brings estate visibility together with investigation and agent-assisted workflows across supported databases. It’s easy to see the value in helping administrators turn operational signals into informed action while scaling personal productivity.

The second story is controlled access to operational data. SQL MCP Server provides a self-hosted toolbox built on Data API builder. You configure the exposed database objects and permissions; agents use the Model Context Protocol to perform CRUD operations or execute stored procedures. This is an important approach because you define the capabilities an agent receives and the boundaries and guardrails around them.

The third story is retrieval-augmented generation, or RAG. Your organization has knowledge agents need, but only a fraction belongs in any given prompt. SQL’s vector and hybrid search capabilities help retrieve relevant context and ground AI responses. This is the core of DP-800; it connects that retrieval to the larger workflow, from generating embeddings to preparing prompts and processing model responses.

SQL’s DP-800 Certification

Microsoft Certified SQL AI Developer Associate image

These stories explain the opportunity. DP-800 gives you a structured way to develop and validate the skills behind AI-enabled database solutions. Passing Exam DP-800 earns the Microsoft Certified: SQL AI Developer Associate certification, covering development across SQL Server, Azure SQL (HS, VM, & MI), and SQL databases in Microsoft Fabric. If you have T-SQL and database development experience, this is a path I encourage you to explore.

What you will learn

How do these features fit together, and which decisions make an application useful.

  • Design and develop database solutions
  • Secure, optimize, and deploy solutions
  • Implement AI capabilities

The official study guide provides the complete objectives and exam weightings.

Build on the SQL you already know

The design and development learning path connects familiar database engineering with newer capabilities. You work through indexing and integrity, then strengthen your T-SQL with JSON processing and advanced query techniques. You also configure Copilot and MCP tools, including instruction files and security considerations. I would use this section to reinforce your foundation and identify capabilities you have not yet applied.

The security and deployment learning path covers access controls and encryption, alongside performance investigation and concurrency. You manage changes with SQL Database Projects and deployment pipelines, then connect applications through Data API builder. For me, this is where a working demonstration becomes a solution you can maintain with confidence.

The AI capabilities learning path takes you from model selection and chunking through embedding maintenance and search. You explore full-text, vector, and hybrid approaches before building a RAG workflow. I encourage you to practice with questions from your own business so you can judge whether the retrieved context is useful and understand why you chose that approach.

Prepare with the Data Days community

You can work on this certification alongside others right now. Data Days: AI @ Work runs November 2 through December 15, 2026, with certification preparation and community sessions. DP-800 is on the schedule. Explore the current schedule or join a study group to get help and learn with the community.

Be ready.

Author

Jerry Nixon
Principal Program Manager

SQL Server Developer Experience Program Manager for Data API builder.

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