This course teaches developers how to create, monitor, and troubleshoot AI solutions on Microsoft Azure. Students will learn how to implement Azure compute and containerization patterns to host applications, build serverless APIs with Azure Functions, and integrate services using event‑driven and message‑based architectures such as Azure Service Bus and Event Grid. The course also covers working with Azure data services that support AI workloads, including designing and querying solutions with Cosmos DB for NoSQL, Azure Database for PostgreSQL with pgvector, and Azure Managed Redis for caching, streaming, and vector search. By the end of the course, developers will be able to connect services, orchestrate AI workflows, and build secure, scalable, and observable AI‑driven applications on Azure.
Implement container application hosting on Azure
Deploy and manage apps on Azure Container Apps
Deploy and monitor applications on Azure Kubernetes Service
Develop AI solutions with Azure Cosmos DB for NoSQL
Develop AI solutions with Azure Database for PostgreSQL
Enhance AI solutions with Azure Managed Redis
Integrate backend services for AI solutions
Manage application secrets and configuration for AI solutions
Observe and troubleshoot apps on Azure