Course Overview of DP-800: Develop AI-Enabled Database Solutions with SQL Platforms

This course focuses on designing and developing AI-enabled database solutions using Microsoft SQL platforms such as SQL Server, Azure SQL and Microsoft Fabric. It equips learners with the ability to integrate artificial intelligence capabilities like embeddings, vector search and retrieval-augmented generation into database-driven applications. 

Participants will gain hands-on experience in building scalable, secure and high-performance database systems that support structured and semi-structured data. The course also emphasizes modern practices such as CI/CD integration, performance optimization and secure deployment strategies ensuring readiness for real-world enterprise scenarios. 

After completing this DP-800: Develop AI-Enabled Database Solutions with SQL Platforms, participants will be able to:

  • Design and implement database objects and schemas
  • Write advanced T-SQL queries for complex data scenarios
  • Integrate AI capabilities such as embeddings and vector search
  • Optimize database performance and troubleshoot issues
  • Implement security features including encryption and access control
  • Deploy database solutions using CI/CD pipelines
  • Implement retrieval-augmented generation (RAG) patterns
  • Build scalable AI-powered enterprise applications

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Key Features of DP-800: Develop AI-Enabled Database Solutions with SQL Platforms

  • Official Microsoft curriculum aligned with DP-800 certification 

  • Hands-on labs with SQL Server, Azure SQL and Fabric 

  • Coverage of AI concepts like embeddings, vectors, semantic search 

  • Real-world scenarios for performance tuning and security 

  • Exposure to CI/CD and DevOps practices for databases 

  • Integration with REST, GraphQL and Azure services 

  • Industry relevant use cases and case studies 

  • Instructor-led guidance with practical demonstrations 

Who should Attend DP-800?

  • Data Engineers and Database Developers
  • SQL Developers working with Azure SQL or Fabric
  • AI Engineers integrating AI into data solutions
  • Application Developers building data-driven applications

Prerequisites of DP-800: Develop AI-Enabled Database Solutions with SQL Platforms

It is recommended that learners have:
  • Basic understanding of relational databases and SQL
  • Experience with T-SQL programming
  • Familiarity with Azure services and cloud concepts
  • Basic knowledge of AI/ML concepts (recommended)
  • Understanding of DevOps or CI/CD concepts (optional but helpful)

    • Why choose CloudThat as your training partner for DP-800?

    • CloudThat offers Microsoft-aligned curriculum delivered by certified trainers with extensive real-world experience in Azure data and AI solutions. 
    • Training includes hands-on labs and real-world scenarios to ensure practical understanding of AI-enabled database development concepts. 
    • Access to post-training support, recorded sessions and learning materials helps reinforce concepts beyond the classroom environment. 
    • Strong focus on certification readiness with exam-oriented preparation and practice assessments aligned with DP-800 objectives.
    • Flexible training modes including instructor-led online sessions and corporate training tailored to enterprise requirements. 
    • Proven track record of successfully training professionals in Azure, data engineering and AI-related technologies across industries. 

    Learning objectives of DP-800:

    • Understand how to design scalable database architectures integrating AI capabilities like embeddings and vector-based search mechanisms effectively. 
    • Learn to develop advanced T-SQL solutions that support both structured and semi-structured data in modern enterprise applications. 
    • Gain expertise in securing, optimizing, deploying SQL-based solutions using industry-standard DevOps and CI/CD practices. 
    • Build the ability to integrate AI models and implement retrieval-augmented generation for intelligent data-driven applications. 
    • Develop skills to monitor, troubleshoot and optimize database performance using tools like Query Store and execution plans. 
    • Learn to integrate SQL databases with Azure services, APIs and event-driven architectures for enterprise-grade solutions. 

    Course Outline of DP-800: Develop AI-Enabled Database Solutions with SQL Platforms Download Course Outline

    • Design tables, indexes, and constraints
    • Implement specialized tables (temporal, graph, ledger)
    • Work with JSON and semi-structured data
    • Create views, stored procedures, and functions
    • Write advanced T-SQL queries

    • Implement encryption and data security
    • Configure row-level security and masking
    • Monitor and optimize query performance
    • Handle concurrency and transaction management
    • Implement CI/CD using SQL database projects
    • Integrate with Azure Monitor and APIs

    • Work with embeddings and vector data
    • Implement semantic and hybrid search
    • Design intelligent search solutions
    • Build retrieval-augmented generation (RAG) systems
    • Integrate external AI models into SQL solutions

    Certification Details of DP-800: Develop AI-Enabled Database Solutions with SQL Platforms

    • DP-800 certification validates skills in developing AI-enabled database solutions using Microsoft SQL platforms including Azure SQL and Fabric.
    • Candidates must demonstrate expertise in database design, optimization, security and AI integration across modern enterprise applications.
    • The exam evaluates three key domains: development (35–40%), optimization/security (35–40%), and AI capabilities (25–30%).

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    Course ID: 28097

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    FAQs for Develop AI-Enabled Database Solutions with SQL Platforms:

    DP-800 is a Microsoft certification focused on developing AI-enabled database solutions using SQL Server, Azure SQL and Microsoft Fabric.

    It is ideal for SQL developers, data engineers and professionals integrating AI into database-driven applications.

    Typically, Microsoft exams require a score of 700 out of 1000 to pass.

    Professionals with SQL + AI skills can earn approximately ₹10–25 LPA in India and $90,000–$140,000 globally, depending on experience and role.

    It requires strong SQL skills along with understanding of AI concepts like embeddings and vector search.

    SQL Server, Azure SQL Database, Microsoft Fabric, AI models, vector search and DevOps tools.

    Typically, 4–8 weeks with hands-on practice and Microsoft Learn modules.

    Yes, strong T-SQL knowledge and query writing skills are essential.

    Yes, but focused on applying AI within databases, not building ML models from scratch.

    3 Days

    Enquire Now