Build an AI copilot with vCore-based Azure Cosmos DB for MongoDB and Azure OpenAI
Learn to set up, migrate, and manage vCore-based Azure Cosmos DB for MongoDB. Implement AI copilots with vCore-based Azure Cosmos DB for MongoDB and Azure OpenAI through vector search integration.
Prerequisites
Before starting this learning path, you should already have:
- To complete the later modules in the learning path, you need access to Azure OpenAI studio, which can take several days to be approved. If you need access, apply through the Azure OpenAI limited access page.
- Familiarity with Azure and the Azure portal.
- Experience programming with Python or Node.js. If you have no previous programming experience, we recommend you complete the Introduction to Node.js or Python for beginners learning path before starting this one.
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Modules in this learning path
Explore vCore-based Azure Cosmos DB for MongoDB, covering everything from basic concepts to initial setup. Understand the cost and scalability aspects, and how this service integrates with Azure for application development.
Explore migrating to vCore-based Azure Cosmos DB for MongoDB, utilizing Azure Data Studio, MongoDB migration tools, and Azure Databricks for data migration.
Learn to manage a vCore-based Azure Cosmos DB for MongoDB cluster, focusing on scaling, high availability, backup and restoration processes, and diagnostic monitoring.
Learn how to use your own data to build AI copilots using vCore-based Azure Cosmos DB for MongoDB and Azure OpenAI. You'll focus on database setup and vector search integration for easy AI application development.