Course AI-200T00 Develop AI cloud solutions on Azure

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.

After completing this course, students will be able to:

Upon completion of the course, participants will be able to containerize and deploy applications in Azure, implement vector search for AI in databases, create event-driven architectures, ensure data and AI model security, and configure end-to-end observability using OpenTelemetry.

Audience Profile

This course is designed for developers who build backend and AI‑driven applications on Azure and need practical skills in containerized compute, data services for AI, event‑driven workflows, and application security and monitoring.

Before attending this course, students must have:

• At least 1-2 years professional development experience with languages such as Python, JavaScript, or C#
• Basic understanding of Azure services and cloud computing concepts
• Familiarity with command-line tools including Azure CLI
• Familiarity with containerization fundamentals