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Microsoft offers a variety of packages that you can use for building generative AI applications in the cloud. In most applications, you need to use a combination of packages to manage and use various Azure services that provide AI functionality. We also offer integrations with open-source libraries like LangChain and mlflow for use with Azure. In this article we'll give an overview of the main services and SDKs you can use with Azure AI Studio.
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For building generative AI applications, we recommend using the following services and SDKs:
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*[Azure Machine Learning](../../../machine-learning/overview-what-is-azure-machine-learning.md) for the hub and project infrastructure used in AI Studio to organize your work into projects, manage project artifacts (data, evaluation runs, traces), fine-tune & deploy models, and connect to external services and resources
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*[Azure AI Services](../../../ai-services/what-are-ai-services.md) provides pre-built and customizable intelligent APIs and models, with support for Azure OpenAI, Search, Speech, Vision, and Language
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*[Azure Machine Learning](../../../machine-learning/overview-what-is-azure-machine-learning.md) for the hub and project infrastructure used in AI Studio to organize your work into projects, manage project artifacts (data, evaluation runs, traces), fine-tune & deploy models, and connect to external services and resources.
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*[Azure AI services](../../../ai-services/what-are-ai-services.md) provides pre-built and customizable intelligent APIs and models, with support for Azure OpenAI, Azure AI Search, Speech, Vision, and Language.
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*[Prompt flow](https://microsoft.github.io/promptflow/index.html) for developer tools to streamline the end-to-end development cycle of LLM-based AI application, with support for inferencing, indexing, evaluation, deployment, and monitoring.
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For each of these, there are separate sets of management libraries and client libraries.
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## Management libraries for creating and managing cloud resources
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Azure [Management libraries](/azure/developer/python/sdk/azure-sdk-overview#create-and-manage-azure-resources-with-management-libraries) (also "control plane" or "management plane"), for creating and managing cloud resources that are used by your application.
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Azure [management libraries](/azure/developer/python/sdk/azure-sdk-overview#create-and-manage-azure-resources-with-management-libraries) (also "control plane" or "management plane"), for creating and managing cloud resources that are used by your application.
*[Azure AI Services Python Management Library](/python/api/overview/azure/mgmt-cognitiveservices-readme?view=azure-python)
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*[Azure AI Search Python Management Library](/python/api/azure-mgmt-search/azure.mgmt.search?view=azure-python)
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*[Azure CLI commands for Azure AI Search](/azure/search/search-manage-azure-cli)
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Azure [Client libraries](/azure/developer/python/sdk/azure-sdk-overview#connect-to-and-use-azure-resources-with-client-libraries) (also called "data plane") for connecting to and using provisioned services from runtime application code.
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Azure AI Services
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Azure AI services
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*[Azure AI services SDKs](../../../ai-services/reference/sdk-package-resources.md?context=/azure/ai-studio/context/context)
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*[Azure AI services REST APIs](../../../ai-services/reference/rest-api-resources.md?context=/azure/ai-studio/context/context)
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