[DEPRECATED] TFX on Cloud AI Platform Pipelines Reviews

Issue didn't let me finish in 3 attempts

Carlos A. · Reviewed over 2 years ago

the bash scripts did not get executed. Pipeline was deployed but could not be confirmed

Saeed E. · Reviewed over 2 years ago

Ira G. · Reviewed over 2 years ago

Does not show in the pipeline

Marcos Martins M. · Reviewed over 2 years ago

Anna K. · Reviewed over 2 years ago

Anna K. · Reviewed over 2 years ago

Worst experience with qwiklabs

Rohan G. · Reviewed over 2 years ago

Worst experience with qwiklabs

Rohan G. · Reviewed over 2 years ago

Worst experience with qwiklabs

Rohan G. · Reviewed over 2 years ago

Worst experience with qwiklabs

Rohan G. · Reviewed over 2 years ago

Lab not update, instructions are not clear

Miguel L. · Reviewed over 2 years ago

If there is a way for this lab to be completed, it is beyond me. I'm not sure if it's because AI Platform is deprecated, but the KubeFlow setup steps all complete exactly as expected, **except** that the AI Pipelines endpoint is never created. I can't figure out how to make that part happen, even manually through the cluster UI or through gcloud. It seems to be a bug, but only the first step (which verifies fine, even though it's not working) can be checked - the others all fail because there is seemingly no way to retrieve the Pipelines endpoint (this step: - `ENDPOINT` - set the `ENDPOINT` constant to the endpoint to your AI Platform Pipelines instance. The endpoint to the AI Platform Pipelines instance can be found on the [AI Platform Pipelines](https://console.cloud.google.com/ai-platform/pipelines/clusters) page in the Google Cloud Console. Open the *SETTINGS* for your instance and use the value of the `host` variable in the *Connect to this Kubeflow Pipelines instance from a Python client via Kubeflow Pipelines SKD* section of the *SETTINGS* window. The format is `'...pipelines.googleusercontent.com'`. ). Unfortunately I've wasted hours of my holiday trying and failing to get this to work. I still have not passed this lab, and I'm not sure it's possible unless whatever is broken is fixed. When will this be updated to Vertex AI?

Timothy J. · Reviewed over 2 years ago

This lab doesn't work, the KubeFlow Pipeline step does not create an endpoint in the application creation step.

Timothy J. · Reviewed over 2 years ago

stacey p. · Reviewed over 2 years ago

atoosa b. · Reviewed over 2 years ago

stacey p. · Reviewed over 2 years ago

Nitin P. · Reviewed over 2 years ago

Nitin P. · Reviewed over 2 years ago

Only the checkbox that doesnt attribute points recognizes the deployement of kubeflow and the ai platform workbenches redirects to vertex ai with no notebook instance showing up.

Daniel R. · Reviewed over 2 years ago

Rohan G. · Reviewed over 2 years ago

Rohan G. · Reviewed over 2 years ago

Rohan G. · Reviewed over 2 years ago

Rohan G. · Reviewed over 2 years ago

Rohan G. · Reviewed over 2 years ago

Constant issues with the build of Kubeflow Pipelines not updating Error encountered while creating a cluster. Please try again or select an existing cluster. Failure Reason: Error while creating the new cluster - Insufficient regional quota to satisfy request: resource "SSD_TOTAL_GB": request requires '300.0' and is short '300.0'. project has a quota of '500.0' with '0.0' available. View and manage quotas at https://console.cloud.google.com/iam-admin/quotas?usage=USED&project=qwiklabs-gcp-04-92400d33b58d.

William B. · Reviewed over 2 years ago