“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Microsoft Official Curriculum
Role-Based Certification PrepTrack: DP-800T00Official Source: Microsoft Learn
MicrosoftIntermediate
Develop AI-enabled database solutions
This course provides students with 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.
Duration
3 days
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Microsoft
DataIT
Develop AI-enabled database solutions
Sql Server
Data
On this page
Ideal for
Data AnalystDataCertification ReadinessTailored Team Delivery
How VNode delivers this
Who this is for, and how we run it
VNode ITeS delivers Develop AI-enabled database solutions as an MCT-led Microsoft program for Data Analyst, Data Engineer, Data Scientist, Database Administrator. Typical duration is 9 days (Virtual, On-site, or Hybrid). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Certification prep maps to DP-800 without turning the week into a dump of Learn modules. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.
Audience Profile
Built for these roles
The audience for this course is 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.
Overview
Executive overview
This course provides students with 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.
Readiness
Prerequisites
- Relevant foundational experience in the target technology area.
- Comfort with hands-on labs in a cloud or GPU-accelerated environment.
Program Outcomes
Capabilities your teams will gain
Strengthen capability in data scenarios
Strengthen capability in sql server scenarios
Strengthen capability in role-based scenarios
Curriculum
Curriculum roadmap
1
Design and develop database solutions
2
Secure, optimize, and deploy database solutions
3
Implement AI capabilities in database solutions
1Module 1
Design and develop database solutions
+
Module 1
Design and develop database solutions
Learn to design and implement database objects, programmability objects, advanced T-SQL code, and AI-assisted tools for SQL Server, Azure SQL, and Microsoft Fabric.
- Design and implement database objects with SQL
- Implement programmability objects with SQL
- Write advanced T-SQL code
- Implement SQL solutions by using AI-assisted tools
2Module 2
Secure, optimize, and deploy database solutions
+
Module 2
Secure, optimize, and deploy database solutions
Learn to protect data with encryption and access controls, tune query performance, implement CI/CD pipelines for database projects, and integrate SQL solutions with Azure services.
- Implement data security and compliance with SQL
- Optimize database performance
- Implement CI/CD by using SQL database projects
- Integrate SQL solutions with Azure services
3Module 3
Implement AI capabilities in database solutions
+
Module 3
Implement AI capabilities in database solutions
Learn to design intelligent search, work with models and embeddings, and build Retrieval Augmented Generation (RAG) patterns in T-SQL.
- Design and implement models and embeddings with SQL
- Design and implement intelligent search with SQL
- Design and implement RAG with SQL
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Certification readinessImplementation-focused labsPrivate cohort deliveryIntermediate practitioner depth
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Supports teams modernizing SQL application capability as AI-enhanced data development patterns emerge.
- •Align labs to your production environment and platform priorities
- •Add focused exam-readiness reviews and instructor-led practice sessions
- •Extend into project-specific architecture or delivery coaching
Credentials
Certification & official source
- •DP-800T00
Aligned to the official Microsoft Learn course and learning path for this program.
View Official Microsoft Learn PageResources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios