Looking the Vertex AI GCP service through non experienced Machine Learning user
Hi everyone, just to note that Machine Learning is not my expertise at all and I did not have any particular professional experience on ML. The real reason why I am interested in exploring Vertex AI is that through my Mentoring session with the Bangkit 2021 team one of the most frequently asked questions is around managing Machine Learning and how to deploy it especially for the student (they are still pursuing their academic degree).
Now when I heard about Vertex AI and showcased it on Google I/O makes me really wonder how we can utilize the platform to ease the entry barrier of people to actually adopt ML. I have not yet thoroughly explored the entire parameter nor have the expertise to review it, but from the standpoint of a newcomer in Machine Learning, this is superb.
In a nutshell, I can see that there are a lot of things that we can actually do with Vertex AI but the thing that is important for me right now is actually to manage my dataset, train my models, and actually deploy it to be consumed.
Notes: For ML expert out there apology for my inexperience around ML).
Now to see it in action we can actually go to the website and find the quickstart documentation: Vertex AI
Within this post, I am using the Hello custom training (which I think Bangkit 2021 require the team to create their own custom training) to test the concept of the service and if you want to seek information please go to the official docs here: Hello Custom Training
[One] Follow the guidance to set the environment by setting up GCS Bucket and download the sample code.
[Two] Upload the training app to GCS (ensure that it is gzipped)
[Three] Train the model by creating a custom pipeline
[Four] Now let's create the endpoint for our models
[Five] Set Cloud Function as our intermediary for consuming the ML
One thing that I forgot is to ensure that the CF is using the right Service Account which have permission to for accessing Vertex AI. Just ensure that you did that and deploy a new version if you have not config in the first place
[Six] Upload the page that will be our main UI to test the ML to GCS
[Seven] Test it out, call the URL, and test
Well, that is something for me as I can use the platform and actually focus on the application itself. Looking forward to further exploration and if anyone has any input, I really looking forward to hearing them.