Module 1: Design and Develop Modern Database Solutions
Build a strong foundation for creating intelligent database applications using Microsoft SQL technologies. In this module, participants learn how to design modern database architectures that support both structured and semi-structured data while meeting the demands of today’s data-driven organizations. You’ll explore best practices for database development, application integration, and scalability to ensure solutions are ready for enterprise environments.
Topics covered:
- Designing database solutions for modern business applications
- Working with structured and semi-structured data
- Building scalable and resilient data architectures
- Developing applications with SQL Server, Azure SQL, and Microsoft Fabric
- Applying development best practices for performance and maintainability
Module 2: Secure, Optimize, and Deploy Database Solutions
Learn how to transform database solutions from development projects into secure, production-ready platforms. This module focuses on protecting data assets, optimizing performance, and implementing deployment strategies that ensure reliability, availability, and operational excellence in enterprise environments.
Topics covered:
- Implementing database security and governance practices
- Managing authentication, authorization, and data protection
- Optimizing queries, workloads, and database performance
- Monitoring and troubleshooting SQL-based solutions
- Automating deployments and managing lifecycle operations
- Preparing databases for cloud and hybrid environments
Module 3: Implement AI Capabilities in Database Solutions
Discover how artificial intelligence is transforming database development. This module introduces the latest AI-powered capabilities available in Microsoft SQL platforms, enabling participants to build smarter applications that can search, analyze, and interact with data in new and innovative ways. You’ll gain practical knowledge of vector search, embeddings, and AI-enhanced data retrieval techniques that power modern intelligent applications.
Topics covered:
- Understanding AI integration within database platforms
- Working with vector data and embeddings
- Implementing semantic and vector-based search experiences
- Enabling intelligent data retrieval and recommendation scenarios
- Building AI-enhanced enterprise applications
- Leveraging Microsoft AI services alongside SQL technologies
What You Will Achieve
By the end of this course, participants will be able to:
- Design robust and scalable database solutions for modern applications
- Develop and manage databases across SQL Server, Azure SQL, and Microsoft Fabric
- Secure and optimize databases for enterprise workloads
- Integrate AI capabilities into SQL-based applications
- Implement vector search and embedding technologies
- Create intelligent, data-driven solutions that support business innovation and digital transformation