Source: https://www.udemy.com/course/sql-server-2025-t-sql-ai-json-optimization/
What you’ll learn
- Implement native AI Vector Search and embeddings in T-SQL queries using the new 2025 vector datatype and DiskANN distance functions.
- Query and index unstructured data efficiently using SQL Server 2025’s native JSON datatype instead of NVARCHAR string parsing.
- Apply native Regular Expressions (REGEXP) and Fuzzy Matching algorithms like Edit Distance and Jaro-Winkler for complex data validation.
- Configure Parameter Sensitive Plan Optimization (PSPO) and Optional Parameter Plan Optimization (OPPO) to stabilize query performance.
- Utilize advanced text processing tools including secure BASE64 encoding/decoding and the native double pipe (||) string concatenation operator.
Requirements
- A good working knowledge of T-SQL (writing SELECT statements, basic joins, standard data types & stored procedures).
It’s not my rip
Download Links
Password: cms.ddpanda.org












