Netsolutions Learning®
Microsoft training in Chile
Netsolutions Learning

Official Microsoft course · Chile

DP-800T00: Develop AI-enabled database solutions

Training duration: 24 hoursFormat: Live remote training · Microsoft TeamsDelivery language: Confirm with our team

About this course

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. Audience Profile 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.​

Instructor-led training for professionals and companies in Chile. Request dates, schedules, seats and commercial terms. Training hours and daily scheduling follow Netsolutions planning and are confirmed in the commercial proposal.

Course syllabus

  1. Design and develop database solutions
  2. Design and implement database objects with SQL
  3. Implement programmability objects with SQL
  4. Write advanced T-SQL code
  5. Implement SQL solutions by using AI-assisted tools
  6. Secure, optimize, and deploy database solutions
  7. Implement data security and compliance with SQL
  8. Optimize database performance
  9. Implement CI/CD by using SQL database projects
  10. Integrate SQL solutions with Azure services
  11. Implement AI capabilities in database solutions
  12. Design and implement models and embeddings with SQL
  13. Design and implement intelligent search with SQL
  14. Design and implement RAG with SQL