AI-200
Azure
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Intermediate·AI-200·3 modules
AI Solution Development & Integration

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.

Azure Service BusAzure Event GridAzure FunctionsBackend DevelopmentArtificial IntelligenceDeveloperIntermediate

Modules

Expand each module and click a topic to open detailed study notes.

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.

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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.

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.

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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.

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.

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

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