1. Multi-language Support via Azure Cognitive Services


    To support multiple languages in your application using Azure Cognitive Services, you will likely want to create an instance of Azure Cognitive Services that provides features like translation, speech-to-text, text-to-speech, and language understanding.

    In this example, I will guide you through creating an Azure Cognitive Services account using Pulumi, which is the first step to accessing these capabilities. The azure-native.cognitiveservices.Account resource will be used to create the account, and then you can use the various APIs provided by Azure Cognitive Services for multi-language support.

    Below is a Pulumi Python program that demonstrates how to create a Cognitive Services Account in the global region with an S0 SKU, which is a standard tier suitable for small to medium workloads.

    import pulumi import pulumi_azure_native as azure_native # Create a resource group in which to place the Cognitive Services Account resource_group = azure_native.resources.ResourceGroup('my-resource-group') # Create the Cognitive Services Account with an S0 SKU (Standard tier) cognitive_services_account = azure_native.cognitiveservices.Account('my-cognitive-services-account', resource_group_name=resource_group.name, # The 'S0' SKU is standard tier pricing and performance sku=azure_native.cognitiveservices.SkuArgs( name='S0', ), # The "Global" region is an indication that this is a global multi-tenant service location='Global', kind='CognitiveServices', # Identifies the type of cognitive service account properties={} ) # Export the Azure Cognitive Services Account endpoint pulumi.export('endpoint', cognitive_services_account.endpoint)

    This program does the following:

    1. It imports the Pulumi modules for Azure.
    2. It creates a resource group named 'my-resource-group' where the Cognitive Services Account will be located.
    3. It provisions a new Cognitive Services Account within the created resource group.
    4. The account is set up with an S0 SKU, which is part of the standard tier and suited for small to medium workloads.
    5. The service is global, and we set the location to 'Global', indicating that it's a global multi-tenant service.
    6. We specify kind='CognitiveServices' to create a general-purpose Cognitive Services account that can provide various AI and cognitive capabilities.
    7. Finally, the program exports the endpoint of the Cognitive Services Account so you can use it to access cognitive services APIs.

    To run this Pulumi program, you will need to have the Pulumi CLI installed, as well as the appropriate Azure credentials to create resources on the cloud. Once set up, you can execute pulumi up via the command line from the directory of your project. The command will provision the resources defined in the program on Azure.

    After creating the account, you can integrate Azure Cognitive Services into your applications by using the provided APIs. Refer to the Azure documentation on Cognitive Services for detailed information on how to use the various services and APIs for language support, such as the Translator Text API, Language Understanding (LUIS), Speech Services, and more.