Explore SQL Server 2025 capabilities

  • Learning Path
  • 5 Modules

At a glance

Learn about SQL Server 2025 enhancements, including:

  • AI-powered capabilities with vector search and embeddings
  • Hybrid data platform with cloud and on-premises integration
  • Data virtualization and PolyBase improvements with S3-compatible object storage
  • T-SQL enhancements for modern development workflows
  • Enhanced security, analytics, and performance features

Prerequisites

  • Basic working knowledge of SQL Server, including deployment, security, query processing, and high availability
  • Fundamental knowledge of T-SQL language
  • Basic knowledge of Azure concepts, including subscriptions, resource groups, Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS)
  • Basic understanding of AI and machine learning concepts
  • Familiarity with hybrid cloud architectures

Modules in this learning path

Get started with SQL Server 2025

Learn about SQL Server 2025's major capabilities including AI features, analytics improvements, developer tools, and performance optimization.

Build AI-powered solutions using SQL Server 2025

Learn how to build intelligent AI-powered applications using SQL Server 2025's native vector support, embedding generation, semantic search, and integration with Azure OpenAI and AI frameworks.

Understand hybrid data platform on SQL Server 2025

Learn about the cloud connected capabilities of SQL Server 2025 for hybrid data platforms.

Introduction to SQL Server 2025 data virtualization

Learn about data virtualization, enhanced Polybase features in SQL Server 2025, and how to use Polybase to access and query external data.

Transform development workflows with T-SQL in SQL Server 2025

Learn about the new T-SQL capabilities introduced in SQL Server 2025 that expand data processing, AI integration, and query flexibility.

Start