Check out my article about custom model training and deployment on Google Cloud using Vertex AI in Go.
This article shows a different approach to solving the same problem presented in my previous article “AutoML pipeline for tabular data on VertexAI in Go”.
This time, instead of relying on AutoML we will define the model and the training job ourselves. This is a more advanced usage that allows the experienced machine learning practitioner to have full control on the pipeline from the model definition to the hardware to use for training and deploying.