Develop AI-Enabled Database Solutions (DP-800)

Course 8771

Duration: 3 days
Exam Voucher: Yes
Language: English
Level: Intermediate

This course equips data professionals and developers with the skills to design and implement AI-enabled database solutions using Microsoft technologies. Learners will explore how to integrate artificial intelligence capabilities directly into database platforms such as SQL Server, Azure SQL, and Microsoft Fabric.

The course focuses on building intelligent applications using vector search, embeddings, and AI-driven query capabilities, enabling organisations to unlock advanced insights from their data. Participants will gain hands-on experience developing modern, AI-powered database solutions aligned with emerging enterprise use cases.

AI Enabled Database Training Delivery Methods

In-Person
Online
Upskill your whole team by bringing Private Team Training to your facility.

AI Enabled Database Training Information

Course Benefits

Pain Points specific to each course
- Difficulty integrating AI into existing database systems
- Lack of knowledge around vector search and embeddings
- Challenges building intelligent, data-driven applications
- Limited understanding of AI capabilities within SQL platforms
Benefits like certification, exam included, ACIC
- Build AI-enabled database solutions using Microsoft technologies
- Gain hands-on experience with vector search and embeddings
- Learn how to integrate AI into enterprise data platforms
- Improve application intelligence and search capabilities
- Stay current with emerging AI + data architecture trends
- Align skills with modern AI-driven development practices
Prerequisites
- Experience with SQL and relational databases
- Basic understanding of cloud data platforms
- Familiarity with application development concepts
Exam Information
- Microsoft Certified: SQL AI Developer Associate (beta) - Certifications | Microsoft Learn
Who should attend
- Developers building AI-powered applications
- Data professionals modernising database solutions
- Engineers integrating AI into enterprise systems
- IT professionals exploring AI-driven data platforms

AI Enabled Database Training Outline

Learning Objectives

Design and implement database objects with SQL

Understand SQL Server-based platform choices
Build effective tables
Optimise with indexes
Use specialised table types
Enforce data integrity with constraints
Manage JSON columns and indexes
Partition tables for scale
Create and maintain database objects

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
Implement programmability objects in SQL Server

Write advanced T-SQL code

Organise 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
Work with JSON functions

Implement SQL solutions by using AI-assisted tools

Describe AI-assisted development tools 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) options
Create and configure GitHub Copilot instruction files
Connect to MCP server endpoints, including SQL Server and Fabric Lakehouse
Configure AI-assisted tools for database development

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
Implement security features

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
Optimise query performance

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
Implement CI/CD using SQL Database Projects

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
Configure Data API Builder for solutions

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
Generate and update embeddings in Azure SQL Database

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
Implement intelligent search with full-text, vector, and hybrid queries

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
Implement a RAG solution

Commercial Pricing

25 150 kr

3-Day Instructor-Led Training
Microsoft Official Content
Hands-on Labs
Exam Voucher Included
After-Course Instructor-Coaching Included

Would you like to take this course as a team?

Include dates with afternoon start times

jul 15 - 17 15:00 - 22:30 CEST

Herndon, VA or AnyWare
aug 5 - 7 9:00 - 16:30 CEST

Stockholm or AnyWare
aug 5 - 7 10:00 - 17:30 CEST

London or AnyWare
aug 26 - 28 15:00 - 22:30 CEST

Ottawa or AnyWare
sep 16 - 18 9:00 - 16:30 CEST

Stockholm or AnyWare
sep 16 - 18 10:00 - 17:30 CEST

London or AnyWare
okt 14 - 16 15:00 - 22:30 CEST

Herndon, VA or AnyWare
nov 4 - 6 9:00 - 16:30 CET

Stockholm or AnyWare
nov 4 - 6 10:00 - 17:30 CET

London or AnyWare
nov 23 - 25 15:00 - 22:30 CET

Ottawa or AnyWare
dec 16 - 18 9:00 - 16:30 CET

Stockholm or AnyWare
dec 16 - 18 10:00 - 17:30 CET

London or AnyWare
jan 13 - 15 15:00 - 22:30 CET

Herndon, VA or AnyWare
feb 3 - 5 9:00 - 16:30 CET

Stockholm or AnyWare
feb 3 - 5 10:00 - 17:30 CET

London or AnyWare
feb 24 - 26 15:00 - 22:30 CET

Ottawa or AnyWare
mar 17 - 19 9:00 - 16:30 CET

Stockholm or AnyWare
mar 17 - 19 10:00 - 17:30 CET

London or AnyWare
apr 14 - 16 15:00 - 22:30 CEST

Herndon, VA or AnyWare

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AI Enabled Database Training FAQs

It combines both, focusing on embedding AI capabilities into database solutions.

No prior AI experience is required, but basic data knowledge is recommended.

SQL Server, Azure SQL, and Microsoft Fabric.

Yes, these are core components of the course.

Yes, especially those building intelligent data-driven applications.

Develop AI-Enabled Database Solutions (DP-800)

AI Enabled Database Training Delivery Methods

AI Enabled Database Training Information

AI Enabled Database Training Outline

Learning Objectives

Live Instructor 25 150 kr

AI Enabled Database Training FAQs

Is this course focused more on AI or databases?

Do I need AI experience?

What platforms are covered?

Will I learn about vector search and embeddings?

Is this course suitable for developers?

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