ML-Lösungen mit Vertex AI erstellen und bereitstellen: Challenge-Lab Rezensionen

José de Jesús G. · Vor 9 Monate überprüft

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Nitin A. · Vor 9 Monate überprüft

Wow. I had a lot of fun with this lab(building a pipeline). I learned how to mess up a pipeline(incorrect url, using special characters inside user variable) and read the error logs. Pipeline jobs can get very complex. I thought I knew, but I now know that I have much to learn. Pipeline jobs can get tricky especially when dealing with dependency issues. There are so many places that can go wrong. The pipeline job took a really long time. I'm starting to realize how serious of a pipeline job this is. It takes a lot of concentration and understanding of abstract ideas. My head was hurting from thinking so much. I got over it and now my butt hurts from sitting and focusing for a long time. Pipelines are very delicate and I need to know exactly what I'm doing. Otherwise, the job will fail later down the road after the ml model has been done compiled incorrectly and containerized and pushed to the cloud. I should have known earlier that I didn't use the correct key for the container image. That led to a ramification of failures. I'm sorry for running the compute clusters hot reptitively in excess for my mistakes. Anyways, it was a great experience building a pipeline with the provided lab code and compute resources. It wouldn't have been possible without Google. It would have been very expensive too. I attempted the job like 5 times. Wow. Thanks for the high quality content. BTW, I don't mind the ads I see when I visit webpages. Gotta make the system work somehow. I appreciate it! Thanks for the free email, cloud storage, many technologies, and the platform. Thanks. Happy New Year. I hope Google's open sharing culture and philosophy continues to thrive. Google provides the best free tier. I love it. Please keep this up.

웅비 최. · Vor 9 Monate überprüft

Mallikarjun R. · Vor 9 Monate überprüft

Ben M. · Vor 9 Monate überprüft

Cool stuff. I wish there were steps to see all the work being generated in GCP, cloud storage, registry, pipelines, endpoints, etc

Vinicius G. · Vor 9 Monate überprüft

Farid A. · Vor 9 Monate überprüft

It's very frustrating and disappointing that, due to an internal error on your side, the lab could not be completed, and I lost 5 credits.

Didhiti Raj C. · Vor 9 Monate überprüft

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