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- Build AI-powered solutions using SQL Server 2025
In this module, you'll:
- Understand the AI-ready evolution of SQL Server 2025, including vector data types, embeddings, and Retrieval Augmented Generation (RAG).
- Implement vector data types and perform semantic search using VECTOR_DISTANCE and VECTOR_SEARCH functions.
- Integrate AI models securely with SQL Server using CREATE EXTERNAL MODEL, managed identities, and Azure OpenAI.
- Build RAG applications using T-SQL, LangChain, and Semantic Kernel frameworks.
- Develop intelligent applications with Change Event Streaming, conversational AI, and Microsoft Fabric integration.
- Use Microsoft Copilot in SQL Server Management Studio for AI-assisted database development.
- Learn about data virtualization, how to use Polybase to access and query external data, and enhanced Polybase features in SQL Server 2025.
After you complete this module you:
- Understand the benefits and principles of data virtualization.
- Know what PolyBase is and how to use its capabilities.
- Are familiar with object storage solutions and SQL Server 2025 support for S3-compatible object storage.
- Know how to install and configure PolyBase on SQL Server 2025.
- Know how to access and query external data by using PolyBase in SQL Server 2025.
