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Microsoft SQL AI DP-800 Certification Training in Canada 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 Canada 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 Canada 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.

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Microsoft SQL AI DP-800 Certification Training in Canada 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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