Plan and Manage Azure AI Solutions

Infrastructure as Code

Azure CLI Deployment

# Create Azure AI resource with custom subdomain
az cognitiveservices account create \
    --name myai-service \
    --resource-group myai-rg \
    --kind TextAnalytics \
    --sku S0 \
    --location eastus \
    --custom-domain myai-custom \
    --yes

Bicep Template

resource aiService 'Microsoft.CognitiveServices/accounts@2023-05-01' = {
  name: 'myai-service'
  location: location
  sku: {
    name: 'S0'
  }
  kind: 'TextAnalytics'
  properties: {
    customSubDomainName: 'myai-custom'
    networkAcls: {
      defaultAction: 'Deny'
      virtualNetworkRules: [
        {
          id: subnet.id
          ignoreMissingVnetServiceEndpoint: false
        }
      ]
    }
    publicNetworkAccess: 'Enabled'
  }
}

SDK Implementation

const { DefaultAzureCredential } = require("@azure/identity");
const { AzureKeyCredential, TextAnalyticsClient } = require("@azure/ai-text-analytics");

// Use managed identity
const credential = new DefaultAzureCredential();
const client = new TextAnalyticsClient(
    "https://myai-custom.cognitiveservices.azure.com/",
    credential
);