The DP-800T00: Develop AI-Enabled Database Solutions course provides comprehensive training on integrating artificial intelligence capabilities with database technologies. This 4-day instructor-led course covers vector search, embeddings, Azure SQL with AI, Cosmos DB with AI, and intelligent query processing for building AI-powered data applications. Esamatic srl, a Microsoft Learning Partner in Milan, delivers this course with Microsoft Certified Trainers.
The convergence of AI and databases is creating a new category of intelligent data applications that combine traditional data management with machine learning capabilities. The DP-800T00 course provides comprehensive hands-on experience implementing vector search in Azure databases, generating and managing embeddings, building AI-enhanced query processing, integrating language models with data services, and developing end-to-end AI-enabled database applications.
This course is designed for database developers, data engineers, and AI application developers who want to build intelligent database solutions that combine traditional data management with AI capabilities.
AI-enabled database development is an emerging specialty at the intersection of data engineering and AI engineering. The DP-800T00 course provides skills that are in rapidly growing demand for database developers, AI engineers, and data platform architects building the next generation of intelligent applications.
The DP-800T00 course prepares for Microsoft certifications related to AI-enabled database development. It covers the intersection of database engineering and AI, validating skills in building intelligent data solutions.
Vector search enables semantic similarity queries by storing data as high-dimensional vectors (embeddings) and finding the most similar items based on distance metrics. This powers AI features like semantic search, recommendations, and RAG patterns.
The DP-800T00 is a 4-day instructor-led course (32 hours) covering AI-enabled database development across Azure SQL and Cosmos DB, with extensive hands-on labs and real-world implementation scenarios.
Basic AI concepts are helpful, but the course teaches the database-specific aspects of AI integration. Strong database development skills are the primary prerequisite.
