Last Updated 09 Apr 2026This course equips developers and technical professionals to build AI-powered applications using modern SQL capabilities in SQL Server 2025 and Azure SQL. You’ll learn how to design RAG solutions, create and query vector embeddings, and integrate Azure OpenAI and Microsoft Foundry models with your data. The course also covers Copilot-enhanced SQL development, secure AI integrations using Managed Identity and REST endpoints, and exposing SQL through REST, GraphQL, and MCP for intelligent applications.
Duration - 8 Hours
Level - Intermediate
Style - Self paced
Course Type - Project Ready
Certification - No
Hands on Labs - No
Solution Areas - Cloud & AI Platform, Migrate and Modernize Your estate
Featured Product - SQL Server
Learn how to enhance AI responses by integrating external knowledge sources using Retrieval-Augmented Generation (RAG). This module covers the fundamentals of combining retrieval systems with generative models to deliver accurate, context-aware outputs.
Explore Microsoft Azure OpenAI Service models and learn how to design effective prompts for optimal AI performance. This module covers prompt engineering techniques to improve response quality, accuracy, and control across various use cases.
Learn how to implement vector search and manage embeddings within SQL Server 2025 for advanced AI-driven data retrieval. This module covers storing, indexing, and querying embeddings to enable semantic search and intelligent applications.
Learn how to design and develop intelligent applications that leverage AI to automate decisions and enhance user experiences. This module covers integrating machine learning, data processing, and real-time insights into scalable, production-ready solutions.
Learn how to use the MSSQL extension for Visual Studio Code to connect, query, and manage SQL databases directly within Visual Studio Code. This module covers installation, configuration, and key features to streamline database development and administration workflows.
Learn how to leverage AI-powered assistance through Microsoft Copilot to boost productivity and streamline everyday tasks. This module covers practical use cases, prompt strategies, and best practices for maximizing Copilot experiences across applications.
Learn how to implement robust security and governance practices for AI workloads using SQL Server 2025. This module covers data protection, access control, compliance, and responsible AI practices to ensure secure and trustworthy solutions.
Learn how to securely expose data from SQL Server to AI-powered applications for seamless integration. This module covers APIs, data access patterns, and best practices to enable efficient and controlled interaction between databases and AI systems.
Take this assessment to validate your skills gathered from the self-paced online learning course completed in this course to mark your completion.
Share your feedback with us regarding your experience!
.PNG?lmsauth=7301f0317d1507e522cc9b6c4c53e20cdbc37db9)
Intermediate
