getting an error when trying to deploy azure ml model

Hello,

Thanks for reaching out to us. From the above error it looks like the package did not install successfully. A more detailed procedure to install the SDK is available directly in the documentation: https://learn.microsoft.com/en-us/python/api/overview/azure/ml/install?view=azure-ml-py

How to set up the environment: https://github.com/Azure/azureml-examples/tree/main/python-sdk/tutorials/automl-with-azureml#3-setup-a-new-conda-environment

You can test if you have set the env correct by below code:

import azureml.core  
  
print("This notebook was created using version 1.35.0 of the Azure ML SDK.")  
print("You are currently using version", azureml.core.VERSION, "of the Azure ML SDK.")  
assert (  
    azureml.core.VERSION >= "1.35"  
), "Please upgrade the Azure ML SDK by running '!pip install --upgrade azureml-sdk' then restart the kernel."  

There are some prerequisites to deploy models:

• An Azure Machine Learning workspace. For more information, see Create an Azure Machine Learning workspace. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace
• A model. The examples in this article use a pre-trained model.
• The Azure Machine Learning software development kit (SDK) for Python. https://learn.microsoft.com/en-us/python/api/overview/azure/ml/intro
• A machine that can run Docker, such as a compute instance. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-manage-compute-instance

More information please refer to https://learn.microsoft.com/en-us/azure/machine-learning/how-to-deploy-and-where?tabs=python#prerequisites

Hope this will help. Please let us know if any further queries.

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