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Create Triggers and Bindings for AI Integration Patterns

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We demonstrate how to implement HTTP and Service Bus triggers and output bindings using Python decorators, rebinding functions between triggers without touching implementation code, and routing outputs to blob storage, Cosmos, and Service Bus declaratively without SDKs.

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Previous Module AI Pipelines with Azure Event Grid
This Module AI Pipelines with Azure Functions
Introduction to Azure Functions
Introduction to Azure Functions
Understand Azure Functions Hosting and Scaling for AI Workloads
Understand Azure Functions Hosting and Scaling for AI Workloads
Set Up the Local Development Environment for Functions
Set Up the Local Development Environment for Functions
Create Triggers and Bindings for AI Integration Patterns
Create Triggers and Bindings for AI Integration Patterns
Manage Secrets and Configuration in Functions
Manage Secrets and Configuration in Functions
Configure Identity and Access for Functions
Configure Identity and Access for Functions
Next Module AI Secrets on Azure Key Vault