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DP-800 Microsoft Certified: SQL AI Developer Associate Training Course Overview
Microsoft Certified: SQL AI Developer Associate Certification (Exam DP-800) Training by Multisoft Systems is designed for database developers, application developers, and AI professionals who want to combine the power of SQL with modern Artificial Intelligence technologies. As organisations increasingly integrate AI into data-driven applications, developers need the skills to build intelligent solutions that understand natural language, retrieve contextual information, generate insights, and interact seamlessly with enterprise databases. This training provides comprehensive knowledge of SQL-based AI application development while aligning with the objectives of the DP-800 certification.
The course introduces participants to Azure SQL Database, SQL Server, Azure OpenAI Service, vector search, semantic search, Retrieval-Augmented Generation (RAG), embeddings, prompt engineering, AI-assisted query generation, and intelligent data retrieval. Participants will learn how to integrate Large Language Models (LLMs) with SQL databases, optimize AI-powered queries, develop secure data access strategies, and build scalable enterprise applications that leverage both structured data and Generative AI capabilities.
In addition, learners will explore database optimization, indexing strategies, security, governance, Azure AI integration, API development, performance tuning, and responsible AI implementation. Practical labs focus on designing intelligent SQL applications capable of supporting conversational interfaces, recommendation systems, enterprise search, and AI-powered analytics.
Through hands-on implementation exercises, real-world development projects, and certification-focused learning, participants will gain the practical expertise required to build modern AI-enabled database applications while confidently preparing for the Microsoft Certified: SQL AI Developer Associate Certification (Exam DP-800).
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DP-800 Microsoft Certified: SQL AI Developer Associate Training Course curriculum
Curriculum Designed by Experts
Microsoft Certified: SQL AI Developer Associate Certification (Exam DP-800) Training by Multisoft Systems is designed for database developers, application developers, and AI professionals who want to combine the power of SQL with modern Artificial Intelligence technologies. As organisations increasingly integrate AI into data-driven applications, developers need the skills to build intelligent solutions that understand natural language, retrieve contextual information, generate insights, and interact seamlessly with enterprise databases. This training provides comprehensive knowledge of SQL-based AI application development while aligning with the objectives of the DP-800 certification.
The course introduces participants to Azure SQL Database, SQL Server, Azure OpenAI Service, vector search, semantic search, Retrieval-Augmented Generation (RAG), embeddings, prompt engineering, AI-assisted query generation, and intelligent data retrieval. Participants will learn how to integrate Large Language Models (LLMs) with SQL databases, optimize AI-powered queries, develop secure data access strategies, and build scalable enterprise applications that leverage both structured data and Generative AI capabilities.
In addition, learners will explore database optimization, indexing strategies, security, governance, Azure AI integration, API development, performance tuning, and responsible AI implementation. Practical labs focus on designing intelligent SQL applications capable of supporting conversational interfaces, recommendation systems, enterprise search, and AI-powered analytics.
Through hands-on implementation exercises, real-world development projects, and certification-focused learning, participants will gain the practical expertise required to build modern AI-enabled database applications while confidently preparing for the Microsoft Certified: SQL AI Developer Associate Certification (Exam DP-800).
- Develop intelligent, AI-powered database applications using Microsoft SQL technologies and Azure AI services.
- Learn how to design, develop, and optimize SQL databases for modern AI-enabled enterprise applications.
- Gain practical expertise in Azure SQL Database, SQL Server, and cloud-native database development.
- Integrate Azure OpenAI Service and Large Language Models (LLMs) with SQL databases to build intelligent data-driven solutions.
- Implement vector search, semantic search, embeddings, and Retrieval-Augmented Generation (RAG) to improve information retrieval and AI-assisted querying.
- Build secure APIs and application layers that enable AI models to interact efficiently with enterprise SQL databases.
- Optimize SQL queries, indexing strategies, execution plans, and database performance for high-volume transactional and analytical workloads.
- Apply database security, authentication, authorization, encryption, governance, and Responsible AI practices to protect enterprise data.
- Develop AI-powered applications capable of natural language querying, intelligent recommendations, automated reporting, and contextual data retrieval.
- Learn how to deploy, monitor, troubleshoot, and maintain production-ready AI-enabled SQL applications using Microsoft Azure services.
- Prepare for the Microsoft Certified: SQL AI Developer Associate Certification (Exam DP-800) through hands-on implementation aligned with Microsoft's official certification objectives.
- Apply enterprise best practices for building secure, scalable, and high-performance SQL applications that leverage Artificial Intelligence to deliver advanced business insights and intelligent user experiences.
Course Prerequisite
- Basic understanding of SQL and relational database concepts.
- Familiarity with Microsoft SQL Server or Azure SQL Database is recommended.
- Experience writing SQL queries, joins, views, stored procedures, and database objects is beneficial.
- Basic programming knowledge in C#, Python, JavaScript, or another modern programming language is helpful.
- Understanding of REST APIs and application development concepts is advantageous.
- Familiarity with Microsoft Azure fundamentals and cloud computing concepts is recommended.
- Basic awareness of Artificial Intelligence, Generative AI, and Large Language Models (LLMs) will help participants understand AI integration scenarios.
- Knowledge of database performance tuning, indexing, and query optimization concepts is beneficial.
- Experience in database development, software engineering, data engineering, or cloud application development is helpful but not mandatory.
- A strong interest in developing AI-powered database applications, integrating Azure OpenAI with SQL technologies, and preparing for the Microsoft Certified: SQL AI Developer Associate Certification (Exam DP-800).
Course Target Audience
- SQL Developers
- Database Developers
- Azure SQL Developers
- Application Developers
- AI Application Developers
- Data Engineers
- Database Administrators (DBAs)
- Full-Stack Developers
- Cloud Database Engineers
- Solution Architects
- Professionals preparing for the Microsoft Certified: SQL AI Developer Associate Certification (Exam DP-800)
- Professionals building AI-powered database applications, intelligent search solutions, and enterprise data platforms using Microsoft SQL technologies
Course Content
- 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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DP-800 Microsoft Certified: SQL AI Developer Associate Training (MCQ) Assessment
This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :
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DP-800 Microsoft Certified: SQL AI Developer Associate Corporate Training
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DP-800 Microsoft Certified: SQL AI Developer Associate Training Trainer Profile
19+ Years Experienced
Our DP-800 Microsoft Certified: SQL AI Developer Associate Corporate & Certification Program trainers bring 13+ years of proven industry expertise, delivering practical insights aligned with real project environments.
Trained 3950+ Professionals
Our expert trainers have successfully trained 3350+ professionals through structured, real-time training programs designed for industry readiness and career growth.
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Build strong practical skills through live project-based training sessions led by certified industry experts with real-world experience.
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Gain practical exposure through real-time scenarios, industry case studies, and hands-on assignments that simulate actual project challenges.
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DP-800 Microsoft Certified: SQL AI Developer Associate Training FAQ's
The DP-800 certification validates the skills required to build AI-enabled database applications using Microsoft SQL technologies, Azure SQL Database, Azure OpenAI Service, vector search, semantic search, and Retrieval-Augmented Generation (RAG).
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