This is the repository for the LinkedIn Learning course REST APIs, Vectors, and AI in SQL Server 2025. The full course is available from LinkedIn Learning.
This course explores the new AI-driven and developer-centric capabilities in SQL Server 2025, focusing on REST API integration, vector search, and working with large language models (LLMs). Learn how to set up and configure SQL Server to support these features, securely connect to external APIs, and bring conversational AI into your T-SQL workflows. The course covers key concepts like embeddings, vector similarity, and indexing for efficient semantic search. Through hands-on examples, you can gain the skills to build intelligent, modern applications directly within SQL Server. By the end of this course, you should be able to design, implement, and optimize AI-enhanced solutions using the latest features in SQL Server 2025.
- To use these exercise files, you must have the following installed: See exercise file / module 01_04
- Clone this repository into your local machine using the terminal (Mac), CMD (Windows), or a GUI tool like SourceTree.
Ben Weissman
Ben is the owner and managing director at Solisyon GmbH, a business management consulting firm in Nuremberg, Germany. The renowned speaker at international data conferences and coauthor of books such as SQL Server on Kubernetes is known for delivering high-quality data integration, business intelligence, data warehousing, and business planning and forecasting solutions.
Check out my other courses on LinkedIn Learning.