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AI-200 Learn

Connect to and consume Azure services, 20–25% of the exam

Integrate backend services for AI solutions

This learning path teaches you how to build and integrate backend services that support AI solutions on Azure: using Azure Service Bus to decouple components and queue inference requests; building event-driven workflows with Azure Event Grid; and creating serverless AI backends with Azure Functions.

Start with Explore Azure Service Bus concepts and messaging in AI architectures
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Queue and process AI operations with Azure Service Bus

Learn how to use Azure Service Bus to decouple AI application components, queue inference requests, distribute processing workloads across competing consumers, and handle failures through dead-letter queues.

  1. Explore Azure Service Bus concepts and messaging in AI architectures
  2. Choose between queues and topics with subscriptions
  3. Structure messages for AI workloads
  4. Process messages reliably
  5. Exercise - Process messages with Azure Service Bus

Develop event-driven AI workflows with Azure Event Grid

Build reactive AI architectures using Azure Event Grid to route events from sources to handlers with low latency and high reliability. Configure event subscriptions, design CloudEvents, implement delivery policies, and publish custom events from AI applications.

  1. Understand Azure Event Grid concepts and event-driven patterns for AI solutions
  2. Work with event schemas and properties
  3. Configure delivery and retry policies for reliable event processing
  4. Publish custom events from AI applications
  5. Exercise - Publish and receive events with Azure Event Grid

Create serverless AI backends with Azure Functions

Create serverless AI backends with Azure Functions, including inference endpoints, event processors, and secure integrations with other Azure services.

  1. Build serverless APIs with Azure Functions triggers and bindings
  2. Configure and deploy function apps