Querying Azure Cosmos DB and Building Generative AI Applications

Modern applications require fast, scalable databases that can seamlessly connect with artificial intelligence. Azure Cosmos DB is a premier choice for powering these intelligent, data-driven experiences. This text-based course guides you from the foundational concepts of NoSQL databases to executing efficient queries and implementing cutting-edge vector search. You will learn how to structure data, run optimized queries, and leverage database capabilities to back your own AI-powered solutions. What you'll learn: - Understand Cosmos DB core architecture, indexing policies, and partitioning strategies. - Write and optimize efficient database queries using the NoSQL API. - Configure vector search capabilities directly within your database containers. - Implement retrieval-augmented generation patterns to feed context to AI models. - Manage data consistency and performance scaling for real-world workloads. The course begins with essential database terminology and setup procedures before moving into query design and indexing. You will then progress to AI integration patterns, examining written code examples and architectural concepts. Designed for software developers and database beginners, this course requires no prior experience with cloud databases or AI engineering. Start reading today to unlock the potential of cloud-scale data and artificial intelligence.