DP-800T00: Develop AI-enabled database solutions
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Class Price
$695.00
Schedule To Be Announced- VILT
Who should attend DP-800T00: Develop AI-enabled database solutions Course
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.
DP-800T00: Develop AI-enabled database solutions Course Outline
- Understand your SQL Server-based platform choices
- Build effective tables
- Optimize with indexes
- Use specialized table types
- Enforce data integrity with constraints
- Manage JSON columns and indexes
- Partition tables for scale
- Module assessment
- Create views
- Create stored procedures
- Create scalar functions
- Create table-valued functions
- Create triggers
- Choose when to use each option
- Organize 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
- Module assessment
- Describe AI-assisted development tools available 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) tool options in a GitHub Copilot or Fabric Copilot chat session
- Create and configure GitHub Copilot instruction files
- Connect to MCP server endpoints, including Microsoft SQL Server and Fabric Lakehouse
- Module assessment
- 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
- Module assessment
- 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
- 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
- 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
- Module assessment
- 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 for SQL database workloads
- Choose an intelligent search approach
- Implement full-text search
- Prepare SQL for vector search
- Implement vector search query patterns
- Implement hybrid search and ranking
- Identify RAG use cases and architecture
- Prepare retrieval context for augmentation
- Augment prompts with database context
- Generate and process RAG responses
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FAQs on DP-800T00: Develop AI-enabled database solutions
DP-800T00 is a course on developing AI-enabled database solutions across Microsoft’s SQL platforms, including SQL Server, Azure SQL, and SQL databases in Microsoft Fabric. It covers designing database objects, programmability, advanced T-SQL, and integrating AI features into database solutions.
This course is designed for data professionals who want to design and develop AI-enabled database solutions that handle structured and semi-structured data while integrating AI capabilities into scalable enterprise applications.
Participants should have foundational knowledge of SQL Server, database concepts, and T-SQL querying. Familiarity with relational database design and basic Azure SQL or Microsoft Fabric concepts is recommended.
You will learn to build and optimize database objects, implement programmability features like views, stored procedures, and functions, write advanced T-SQL including window functions and JSON processing, and integrate AI capabilities into SQL-based solutions.
The course covers four main modules: designing and implementing database objects with SQL, implementing programmability objects, writing advanced T-SQL code, and implementing SQL solutions using AI-based approaches, each with practical exercises and assessments.