Hi Mike! Thanks for the videos! Your content has a great potential to plug a large market gap, as quality Vertex AI content is scarce on RU-vid. On the other hand, your webcam seems to lag in several videos of the playlist, which unfortunately draws attention away from the most important part of your videos: the actual content. This is especially important to fix, as the issue appears immediately in the first videos of the playlist - affecting a viewer's first impression Anyway, keep up the effort!
There is a new series coming this Fall with many workflows for Custom Models using TensorFlow. The content is already on the GitHub repository with a Custom Container workflow example. Its pretty easy to adapt the flow for any other framework. Check out the notebooks 05c, 05f, and 05i in github.com/statmike/vertex-ai-mlops/tree/main/05%20-%20TensorFlow
Could you do a segment where data source is external, such as Snowflake using connectors? I have a use case where I need to read data from Snowflake to Vertex AI through , then I need to write the output back to Snowflake. I can do this manually but I need to authenticate to SF and copy/paste the token manually into the notebook. There has to be a way to do this automatically so I can deploy the model.
Thanks you for your great tutorials. I want to migrate a project from legacy to vertex ai. is there any migration tool kit or tutorial i can get to have basics. thank you
Hi mike thanks for your effort , I just have one simple question I have been searching on it but can't find any solution ... Every time I try to turn my query to dataframe doesn't work and raise an error Here's some tips I tried : 1 - query works fine and successfully I tried it on bigquery and on notebook 2 - change the dataset 3- try to reinstall libraries 4 - tried to change the limit here's the error : Buffer #1 too small in array of type double and length 5: expected at least 40 byte(s), got 34 thanks in advance
![Data Source - Vertex AI for ML Operations [notebook 01]](/img/logo.svg){kind=logo}
