title: AWS Sagemaker Deploy fails
body: <p>I am following the <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/ex1-deploy-model.html" rel="noreferrer">sage maker documentation</a> to train and deploy an ML model. I am using the high-level Python library provided by Amazon SageMaker to achieve this. </p>
  
  <pre><code>kmeans_predictor = kmeans.deploy(initial_instance_count=1,
                                   instance_type='ml.m4.xlarge')
  </code></pre>
  
  <p>The deployment fails with error</p>
  
  <p>ResourceLimitExceeded: An error occurred (ResourceLimitExceeded) when calling the CreateEndpoint operation: The account-level service limit 'ml.c4.8xlarge for endpoint usage' is 0 Instances, with current utilization of 0 Instances and a request delta of 1 Instances. </p>
  
  <p>Where am I going wrong?</p>