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TrainingData & analytics / Data & AIDP-800

DP-800Microsoft · authorised trainingLeads to an exam

Develop AI-enabled database solutions

This course shows how to design and build AI-enabled database solutions across Microsoft SQL platforms, including SQL Server, Azure SQL, and SQL databases in Microsoft Fabric. Participants learn both classic T-SQL and database programmability topics, as well as newer vector-based, semantic search and RAG patterns. The course also covers security, performance optimization, and deployment and integration of SQL solutions with Azure services.

Duration
3 days
Level
Intermediate
Provider
Microsoft
Topic
Data & analytics / Data & AI

Course outline

  • Learning path: Design and develop database solutions
  • Design and implement database objects with SQL
  • Implement programmability objects with SQL (views, stored procedures, functions, triggers)
  • Write advanced T-SQL code (CTEs, window functions, JSON, regular expressions, fuzzy string matching, graph queries, error handling)
  • Implement SQL solutions by using AI-assisted tools (GitHub Copilot, Fabric Copilot)
  • Learning path: Secure, optimize, and deploy database solutions
  • Implement data security and compliance with SQL (encryption, masking, Row-Level Security, auditing)
  • Optimize database performance (isolation levels, execution plans, DMVs, Query Store, blocking and deadlocks)
  • Implement CI/CD by using SQL database projects (source control, branching, schema drift detection, GitHub Actions, Azure DevOps)
  • Integrate SQL solutions with Azure services (Data API Builder, REST, GraphQL, monitoring, event-driven patterns)
  • Learning path: Implement AI capabilities in database solutions
  • Design and implement models and embeddings with SQL
  • Design and implement intelligent search with SQL (full-text, vector, and hybrid search)
  • Design and implement RAG with SQL

Skills you will gain

  • Designing and implementing database objects and programmability objects with SQL
  • Writing advanced T-SQL code, including JSON functions, graph queries, and error handling
  • Using AI-assisted tools (GitHub Copilot, Fabric Copilot) for SQL database development
  • Implementing data security and compliance in SQL Server, Azure SQL, and Microsoft Fabric
  • Optimizing database performance and implementing CI/CD for SQL database projects
  • Integrating SQL solutions with Azure services, including building REST and GraphQL APIs
  • Designing and implementing AI models and embeddings with SQL
  • Implementing intelligent search and Retrieval Augmented Generation (RAG) patterns with SQL

Who should attend

  • Data professionals who want to learn about designing and developing AI-enabled database solutions across Microsoft's SQL platforms, including SQL Server, Azure SQL, and SQL databases in Microsoft Fabric
  • Professionals who develop database solutions that include structured and semi-structured data and integrate AI features into scalable enterprise applications

Certification

Exam

DP-800 - Microsoft Certified: SQL AI Developer Associate

This course prepares you for this exam.

Exam details