What you'll learn:
- Build AI-powered SQL solutions using Azure SQL, embeddings, and external models
- Design and implement Retrieval-Augmented Generation (RAG) pipelines using T-SQL
- Apply advanced SQL features like JSON, graph queries, and stored procedures for AI scenarios
- Secure and optimize AI-driven databases using encryption, indexing, and performance tuning
SQL is no longer just about querying data — it’s becoming a powerful foundation for building AI-driven applications.
In this course, you’ll learn how to combine traditional SQL development with modern AI capabilities to build intelligent, production-ready solutions using Microsoft technologies. Whether you’re preparing for the DP-800: Microsoft Certified SQL AI Developer Associate exam or looking to upgrade your skillset, this course is designed to give you both depth and practical experience.
We start with core SQL concepts and quickly move into advanced topics that power real-world AI scenarios. You’ll learn how to work with JSON, graph queries, stored procedures, and advanced querying techniques to model complex data. From there, we introduce AI integration — including embeddings, external models, and Retrieval-Augmented Generation (RAG) — all implemented directly using SQL.
What makes this course unique is its hands-on, lab-driven approach. You won’t just learn theory — you’ll build solutions that simulate real enterprise use cases, including secure data handling using encryption, masking, and access control, along with performance tuning using indexing and query optimization.
By the end of this course, you will be able to design and implement AI-powered database solutions, understand how SQL fits into modern AI architectures, and confidently approach the DP-800 certification.
If you’re ready to move beyond traditional SQL and step into the future of SQL + AI, this course is for you.
