Environment Setup - Vertex AI for ML Operations [notebook 00]
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- čas přidán 25. 07. 2024
- A walkthrough of creating a Google Cloud Platform project and setting up the environment for this series of end-to-end workflows. This video follows the readme and the first notebook [00 - Environment Setup] in the repository.
GitHub Repository: github.com/statmike/vertex-ai...
The Notebook followed in this video: github.com/statmike/vertex-ai...
Timeline:
0:00 - Introduction
1:20 - Overview
1:53 - Step 1: Setup Google Cloud Project
4:00 - Step 2: Enable APIs
5:18 - Step 3: Create Notebook Instance
10:21 - Step 4: Setup JupyterLab
12:09 - Step 5: Use [Notebook 00] in the Repository
19:14 - Q&A: Will I be charged for resources?
22:35 - Q&A: How to clean up resources
23:00 - Wrap-up
![Data Source - Vertex AI for ML Operations [notebook 01]](http://i.ytimg.com/vi/Z5whg20WvS8/mqdefault.jpg)
![Data Source - Vertex AI for ML Operations [notebook 01]](/img/tr.png)
![End-To-End: No Code - AutoML in Vertex AI for ML Operations [notebook 02a]](http://i.ytimg.com/vi/ZZadMQTKJXk/mqdefault.jpg)
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.
Thank You! Many more on the way!
Great Content. This is exactly what a beginner needs to start working with vertex AI.
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!
Thank you so much!
Quality video! Thank you so much for this.
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.
Thank you for the kind words and for pointing out a typo. I just fixed it.
Great content Mike! Really helpful for those starting out with Vertex AI
Glad it was helpful!
Wow Mike, impressive. Thank you so much for this high quality content. Cheers!
Thank you very much for this amazing video!
Great job Mike! Super helpful as always!!!
Thanks again!
Thanks so much Mike! This is just want I needed!
Hi Mike, great Video I am working towards end to end ml automation project after watching your video
Fantastic! Looking forward to making more videos soon
Thanks Mike, this is awesome content
Hey mike just awesome tutorial keep doing great work.
Amazing content, thank you Mike
Thank you much for your work
wonderful video, thank you
Hi, the repo doesn't correspond to this tutorial. There isn't a "Store Project Data" portion in the 00 - Setup
Great intro!
I literally told my employer that I know GCP Vertex AI (I only used sagemaker in the past) lol thanks for bringing me up to speed
Glad I could help!
I Look forward to more vidios
thank you, bro..........
👏👏👏 Thanks!
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!
you rock!
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
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.
why do we have to enable API for every service on GCP ? why is it not enabled by default?
in the last version there's no fraud folder, is that okay or what?
thanks😀
You're welcome!
Omg please make more videos
Hopefully Soon!
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.
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, 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
code was showing an error ......... and you change the code
I hope this got resolved. If you ever face issues with the code please use the Issues or Discussion section on GitHub and I can help out.
WARNING - Notebooks do not correspond to videos !!!!