Develop AI-enabled database solutions (DP-800T00)

Course Description

This course provides the knowledge and skills to design and develop AI enabled database solutions across Microsoft SQL platforms, including SQL Server, Azure SQL and SQL databases in Microsoft Fabric. It is intended for professionals who build modern data solutions that integrate structured and semi-structured data and incorporate AI features into scalable enterprise applications. It will also be valuable for individuals who develop applications that rely on SQL based data services enhanced with vector search, embeddings and other AI driven capabilities.
4 Days
€1950.00
 

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. This role develops database solutions that include both structured and semi-structured data and integrates AI features into modern and highly scalable enterprise applications.

Design and implement database objects with SQL

Understand your SQL Server-based platform choices
Build effective tables
Optimize with indexes
Use specialised table types
Enforce data integrity with constraints
Manage JSON columns and indexes
Partition tables for scale

Implement programmability objects with SQL

Create views
Create stored procedures
Create scalar functions
Create table-valued functions
Create triggers
Choose when to use each option

Write advanced T-SQL code

Organize queries with Common Table Expressions
Apply window functions for analytics
Process JSON data with built-in functions
Match patterns with regular expressions
Find approximate matches with fuzzy string functions
Traverse relationships with graph queries
Compare rows with correlated subqueries
Handle errors with TRY...CATCH

Implement SQL solutions by using AI-assisted tools

Describe AI-assisted development tools available for Microsoft SQL platforms
Interpret security impact of using AI-assisted tools
Enable GitHub Copilot and Fabric Copilot
Configure model and Model Context Protocol (MCP) tool options in a GitHub Copilot or Fabric Copilot chat session
Create and configure GitHub Copilot instruction files
Connect to MCP server endpoints, including Microsoft SQL Server and Fabric Lakehouse




Implement data security and compliance with SQL

Protect data with encryption
Configure dynamic data masking
Implement row-level security
Manage permissions and secure access
Implement auditing
Configure secure access to AI services
Secure data API endpoints

Optimise database performance

Recommend database configurations
Preserve data integrity with transaction isolation levels and concurrency controls
Evaluate query performance with execution plans and DMVs
Monitor and tune queries with Query Store and Query Performance Insight
Identify and resolve blocking and deadlocks

Implement CI/CD by using SQL Database Projects

Create, build, and validate SQL Database Projects
Configure source control and manage reference data
Manage branching, pull requests, and conflict resolution
Detect and resolve schema drift
Implement CI/CD pipelines
Design and implement a testing strategy

Integrate SQL solutions with Azure services

Create configuration files for Data API Builder
Define entities for REST and GraphQL
Expose database objects, stored procedures, and views
Explore deployment options for Data API Builder
Recommend Azure Monitor configurations
Handle changes with event-driven patterns

Design and implement models and embeddings with SQL

Understand and evaluate models for SQL database workloads
Create and manage external models in SQL
Design embeddings for SQL database workloads
Generate and maintain embeddings for SQL database workloads

Design and implement intelligent search with SQL

Choose an intelligent search approach
Implement full-text search
Prepare SQL for vector search
Implement vector search query patterns
Implement hybrid search and ranking

Design and implement RAG with SQL

Identify RAG use cases and architecture
Prepare retrieval context for augmentation
Augment prompts with database context
Generate and process RAG responses
AzureSQLFabricSQL Server