I am trying to deploy a model trained using AutoML directly from the Portal but the deployment to Container Instance fails. From the logs I can read the errors reported below.

I am not sure what's the problem, it only appeared recently and fun fact is that if I try to deploy a model that was trained about 10 days ago it works without problem.
Did anything change in the meantime? What am I missing?

Exception in worker process
Traceback (most recent call last):
File "/var/azureml-server/routes_common.py", line 37, in <module>
from azureml.api.exceptions.ClientSideException import ClientSideException
ModuleNotFoundError: No module named 'azureml.api'

Traceback (most recent call last):
File "/azureml-envs/azureml_058f846b7dd22d1daecb37981c0969bb/lib/python3.6/site-packages/gunicorn/arbiter.py", line 589, in spawn_worker
worker.init_process()
File "/azureml-envs/azureml_058f846b7dd22d1daecb37981c0969bb/lib/python3.6/site-packages/gunicorn/workers/base.py", line 134, in init_process
self.load_wsgi()
File "/azureml-envs/azureml_058f846b7dd22d1daecb37981c0969bb/lib/python3.6/site-packages/gunicorn/workers/base.py", line 146, in load_wsgi
self.wsgi = self.app.wsgi()
File "/azureml-envs/azureml_058f846b7dd22d1daecb37981c0969bb/lib/python3.6/site-packages/gunicorn/app/base.py", line 67, in wsgi
self.callable = self.load()
File "/azureml-envs/azureml_058f846b7dd22d1daecb37981c0969bb/lib/python3.6/site-packages/gunicorn/app/wsgiapp.py", line 58, in load
return self.load_wsgiapp()
File "/azureml-envs/azureml_058f846b7dd22d1daecb37981c0969bb/lib/python3.6/site-packages/gunicorn/app/wsgiapp.py", line 48, in load_wsgiapp
return util.import_app(self.app_uri)
File "/azureml-envs/azureml_058f846b7dd22d1daecb37981c0969bb/lib/python3.6/site-packages/gunicorn/util.py", line 359, in import_app
mod = importlib.import_module(module)
File "/azureml-envs/azureml_058f846b7dd22d1daecb37981c0969bb/lib/python3.6/importlib/ init .py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 978, in _gcd_import
File "<frozen importlib._bootstrap>", line 961, in _find_and_load
File "<frozen importlib._bootstrap>", line 950, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 655, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 678, in exec_module
File "<frozen importlib._bootstrap>", line 205, in _call_with_frames_removed
File "/var/azureml-server/entry.py", line 1, in <module>
import create_app
File "/var/azureml-server/create_app.py", line 4, in <module>
from routes_common import main
File "/var/azureml-server/routes_common.py", line 39, in <module>
from azure.ml.api.exceptions.ClientSideException import ClientSideException
ModuleNotFoundError: No module named 'azure.ml'

Sure,

i am using autoML, therefore I do not manage the environment.
If I looked at the outputs folder of the model I want to deploy I see the following conda enviroment and environment dependencies files.
I copy paste here the content of the conda env file for reading convenience. For the environment dependencies please refer to the attachment:

Conda environment specification. The dependencies defined in this file will

be automatically provisioned for runs with userManagedDependencies=False.

Details about the Conda environment file format:

https://conda.io/docs/user-guide/tasks/manage-environments.html#create-env-file-manually

name: project_environment
dependencies:

The python interpreter version.

Currently Azure ML only supports 3.5.2 and later.