MLEP C4 W3 Qwiklabs issue

Course Q&A Machine Learning Engineering for Production(MLOps) Deploying Machine Learning Models in Production
1

Hi! There is currently a problem with the Deploying Resnet50 section of the lab: Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Istio

Running the commands will result in this error:

Copying gs://workshop-datasets/models/resnet_101/1/saved_model.pb [Content-Type=application/octet-stream]...
AccessDeniedException: 403 The billing account for the owning project is disabled in state absent
Copying gs://workshop-datasets/models/resnet_50/1/saved_model.pb [Content-Type=application/octet-stream]...
AccessDeniedException: 403 The billing account for the owning project is disabled in state absent

We have already reported it to Qwiklabs and are waiting for a resolution. Please monitor this thread for updates. Thank you and sorry for the inconvenience!

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2

Hi Team,

Has the issue been resolved? My assignment’s overdue :sweat_smile:

Please let us know, thanks!

3

Hello Folks,

Please check this ‘Coursera | Online Courses & Credentials From Top Educators. Join for Free | Coursera’ thread to complete the graded assignment.

I could complete the assignment successfully. Hope this helps, cheers!

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Hi Nikhil! Thank you for sharing the workaround! Unfortunately, as per their reply yesterday, the Qwiklabs team is still fixing the lab. In the meantime, I’ll share Ibrahim’s post in the Coursera forums and mark it as a solution so more learners can see it:

For learners who run into the 403 AccessDeniedException, you can run these commands instead to download the models into your GCP bucket:

gsutil cp -r gs://jk-models/resnet_101 gs://${MODEL_BUCKET}
gsutil cp -r gs://jk-models/resnet_50 gs://${MODEL_BUCKET}
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5

Hi everyone! The lab has now been updated. All commands should run as expected. Thanks!