Hey mike just wanted to say awesome content. I have been wanting to work with vertex AI and this is just what I needed. Thank you for this and keep posting.
Mike, the diagrams in the Overview section are really helpful to set the concept straight for beginners - thanks! In the title of the second diagram, I think it is meant to be "... where you have training data." Thanks again and will watch on.
Hi Mike! Great content! I just cloned the Github repository for this tutorial and I'm looking forward to following along your amazing tutorial with my free-tier on GCP. Keep up the great work!
Hi Mike, great video, thank you! Quick question (especially relevant for people watching this 2+ years from now I'd imagine) - does it matter which version of TF we use when creating a new notebook for the purpose of following your examples, or does it need to be 2.3?
Very good question. In actually does not matter and there are some great features, like feature normalization, that are much easier in 2.4+. I need to test the code with a newer version and add a note to the readme. There are sometime particular dependencies between TF and TFIO code that needs to be double checked. I will add this to the list before I finish the 05 series videos this Fall!
Mike, grateful for your series. But one thing I was uncomfortable with. I was not able to follow your clicks as the cursor on your screen is not visible.
Hi Mike, seems like the services, tool, and interface had a facelift. I could not locate the Notebook API within Workbench - New to the GCP Platform and trying to follow your videos with today's GCP ecosystem - Please advice. Thanks. BTW, awesome content!!!
Hey Mike, Great video, I had one quick question though, when I try and enable the vertex API it asks me to enable billing. Do I have to pay to use this? Thanks, Suneet
Hello Mike, My cloned setup files are different from yours - please can you share the right link to the updated video series where the files match the videos?
The files do continue to evolve and improve. I have not made newer videos to match the file updates but can look toward a new set after then next round of improvements. If you have any issues with the files please use the issues or discussion section on GitHub and I am happy to help!
Hi Mike! Thanks for the video. My imported setup file looks very different to yours. there are many things missing and some duplicates for example PROJECT_ID is listed twice. once as a variable and once as not. Is there an updated video series where the files will match the videos?
Hi Josh, The files do continually update in GitHub based on feedback and optimization. I would say nothing is missing - probably just removed or optimized over time. If you run into any issue please use the GitHub Issues or Discussion features and I can help out.
Hi Mike, this is very relevent and ineresting ,however i want to contact on some errors that im meeting , it starts from importing the bigquery adn gs packages , i noticed that you made many changes in the notebook since you made theses videos , i would like to ask you , how can i reach to you ?
Hi Benaou, thank you for watching the video. For any issues you run into the best place to start is the issues feature of the GitHub repository. I can then try to troubleshoot it and make any updates that might be necessary. Thank You, Mike github.com/statmike/vertex-ai-mlops
@@statmike-channel soemtimes is just questions that i have and i dont want to create an issue for it, such as if i change iam policy for my service do i have to restart the kernel or only re import the package, ..
Hi Benaou, I just remembered that the GitHub repository also has discussions turned on. This would be a great place for general questions. All questions are great because they give me a chance to develop new or revised content! Thank You
If anyone try to the notebook the first time from 2024, it won't work. You have to click "Open in Vertex AI Workbench" and let it deploy the notebook first.
![Environment Setup - Vertex AI for ML Operations [notebook 00]](/img/logo.svg){kind=logo}
