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Microsoft SQL AI DP-800 Certification Training in USA Course Syllabus

Curriculum Designed by Experts

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The Microsoft Certified: SQL AI Developer Associate Certification (Exam DP-800) Training program covers developing intelligent database applications using Microsoft SQL technologies and Artificial Intelligence. Participants will learn Azure SQL Database, SQL Server, Azure OpenAI integration, vector search, semantic search, Retrieval-Augmented Generation (RAG), AI-assisted querying, database optimization, security, and performance tuning. Through hands-on labs and real-world projects, learners will build secure, scalable, and AI-powered SQL applications while preparing for the Microsoft Certified: SQL AI Developer Associate Certification (Exam DP-800).

  • DP-800 Certification Overview
  • SQL AI Development Fundamentals
  • AI-Powered Database Applications
  • Azure SQL Ecosystem
  • Enterprise AI Use Cases
  • Modern Database Architectures
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  • Azure SQL Database
  • SQL Server Architecture
  • Database Design
  • Tables and Relationships
  • Data Types
  • Constraints
  • Views
  • Stored Procedures
  • Functions
  • Triggers
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  • Complex SQL Queries
  • Common Table Expressions (CTEs)
  • Window Functions
  • JSON Processing
  • XML Processing
  • Dynamic SQL
  • Transactions
  • Exception Handling
  • Query Optimization
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  • Azure OpenAI Service
  • Large Language Models
  • Prompt Engineering
  • Function Calling
  • AI Integration Patterns
  • Chat Completion APIs
  • Embeddings
  • Token Management
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  • Embedding Models
  • Vector Databases
  • Vector Search
  • Semantic Search
  • Retrieval-Augmented Generation (RAG)
  • Context Management
  • Knowledge Retrieval
  • Search Optimization
  • Hybrid Search
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  • Natural Language to SQL
  • AI-Assisted Query Generation
  • Conversational Data Access
  • Intelligent Reporting
  • AI Recommendations
  • AI Search Applications
  • Enterprise AI Integration
  • User Experience Design
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  • REST API Development
  • SQL API Integration
  • Azure Functions
  • Secure Database APIs
  • External Service Integration
  • Authentication
  • Authorization
  • API Performance
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  • Indexing Strategies
  • Query Execution Plans
  • Performance Tuning
  • Database Optimization
  • Partitioning
  • Caching
  • Resource Optimization
  • Monitoring
  • Troubleshooting
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  • SQL Security
  • Microsoft Entra ID Integration
  • Row-Level Security
  • Dynamic Data Masking
  • Transparent Data Encryption
  • Auditing
  • Compliance
  • Responsible AI
  • Data Governance
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  • Database Deployment
  • Azure DevOps
  • CI/CD
  • Backup and Recovery
  • Monitoring
  • Logging
  • High Availability
  • Disaster Recovery
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  • AI Search Solutions
  • Recommendation Systems
  • Enterprise Knowledge Base
  • Intelligent Analytics
  • AI Data Pipelines
  • Real-Time AI Applications
  • Best Practices
  • Enterprise Architecture
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  • End-to-End SQL AI Project
  • Azure SQL AI Solution
  • RAG Implementation Project
  • Performance Optimization
  • Security Implementation
  • Enterprise Deployment
  • DP-800 Certification Practice Labs
  • Final Capstone Project
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Microsoft SQL AI DP-800 Certification Training in USA Description

  • Learn how to design and develop intelligent database applications using Microsoft SQL technologies and Azure AI services. 
  • Build expertise in Azure SQL Database and SQL Server for developing scalable, secure, and high-performance enterprise applications. 
  • Integrate Azure OpenAI Service and Large Language Models (LLMs) with SQL databases to enable AI-powered data interactions. 
  • Implement vector search, semantic search, and Retrieval-Augmented Generation (RAG) to improve intelligent data retrieval and contextual responses. 
  • Develop AI-assisted SQL applications capable of natural language querying, intelligent search, and automated data analysis. 
  • Learn advanced SQL programming techniques, query optimization, indexing, and database tuning to improve application performance.
  • Secure enterprise databases using authentication, authorization, encryption, auditing, and Microsoft Entra ID integration. 
  • Build REST APIs and application services that connect SQL databases with AI-powered applications and enterprise systems. 
  • Monitor, troubleshoot, and optimize AI-enabled database solutions to ensure reliability, scalability, and operational efficiency. 
  • Prepare for the Microsoft Certified: SQL AI Developer Associate Certification (Exam DP-800) through practical implementation aligned with Microsoft's certification objectives. 
  • Apply industry best practices to develop secure, scalable, and production-ready SQL AI applications for modern enterprise environments. 

  • SQL Developers building modern, data-driven business applications 
  • Database Developers integrating Artificial Intelligence with SQL-based systems 
  • Azure SQL Developers developing cloud-native database applications on Microsoft Azure 
  • Application Developers looking to incorporate AI-powered data retrieval and natural language capabilities into enterprise applications 
  • Full-Stack Developers working with SQL Server, Azure SQL Database, APIs, and AI technologies 
  • Data Engineers developing intelligent data solutions that combine structured data with Generative AI capabilities 
  • Software Engineers modernizing existing SQL applications with Azure OpenAI, vector search, and semantic search features 
  • Solution Architects designing scalable, secure, and AI-enabled database architectures for enterprise environments 
  • Technical Consultants implementing AI-powered SQL solutions for analytics, automation, and business intelligence initiatives 
  • Professionals preparing for the Microsoft Certified: SQL AI Developer Associate Certification (Exam DP-800) to validate their expertise in SQL and AI application development 
  • Organizations adopting Microsoft AI and SQL technologies to build intelligent, secure, and scalable enterprise applications
  • IT professionals seeking practical expertise in Azure SQL, SQL Server, AI integration, Retrieval-Augmented Generation (RAG), vector search, database optimization, and intelligent application development. 

  • A basic understanding of SQL programming, relational database concepts, and database design principles is recommended. 
  • Familiarity with Microsoft SQL Server, Azure SQL Database, or similar relational database platforms will help participants follow practical exercises more effectively. 
  • Basic knowledge of writing SQL queries, joins, stored procedures, views, functions, and database objects is beneficial. 
  • Experience with programming languages such as C#, Python, Java, or JavaScript is advantageous for integrating AI capabilities into database applications. 
  • Understanding of cloud computing fundamentals and Microsoft Azure services is helpful but not mandatory. 
  • Basic awareness of REST APIs, JSON, and web application development concepts will support AI and database integration scenarios. 
  • Familiarity with Artificial Intelligence, Generative AI, Large Language Models (LLMs), or Azure OpenAI concepts is beneficial for understanding AI-powered database applications. 
  • Knowledge of database security, indexing, query optimization, and performance tuning is an added advantage. 
  • Experience in application development, database administration, software engineering, or cloud development can enhance the learning experience but is not a mandatory requirement. 
  • A strong interest in developing intelligent SQL applications, integrating AI with enterprise databases, and preparing for the Microsoft Certified: SQL AI Developer Associate Certification (Exam DP-800).Top of Form

Microsoft SQL AI DP-800 Certification Training in USA Certification

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Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

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Microsoft SQL AI DP-800 Certification Training in USA FAQ's

This training focuses on developing intelligent database applications by combining Microsoft SQL technologies with Artificial Intelligence. Participants will learn to build AI-enabled solutions using Azure SQL Database, SQL Server, Azure OpenAI, vector search, semantic search, and Retrieval-Augmented Generation (RAG) to create modern, data-driven enterprise applications.

Yes. The course includes hands-on exercises where participants integrate AI capabilities into SQL applications using Azure OpenAI, implement natural language querying, develop intelligent search solutions, work with vector embeddings, and build AI-assisted database applications based on real-world business scenarios.

Absolutely. Participants will learn advanced SQL programming, indexing strategies, query optimization, execution plan analysis, database performance tuning, and best practices for developing high-performance SQL databases that support AI workloads and enterprise-scale applications.

This course is ideal for SQL Developers, Database Developers, Azure SQL Developers, Software Engineers, Full-Stack Developers, Data Engineers, Solution Architects, and IT professionals who want to build AI-enabled database applications and prepare for the Microsoft Certified: SQL AI Developer Associate Certification (Exam DP-800).

After completing this training, professionals can pursue roles such as SQL AI Developer, Azure SQL Developer, Database Application Developer, AI Solutions Developer, Data Platform Developer, Full-Stack Developer, Cloud Database Engineer, and Enterprise Application Developer, helping organizations build intelligent, secure, and scalable AI-powered database solutions.

For course-related queries, email enquiry@multisoftvirtualacademy.com or call +91 8130666206.

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