Deploy and Serve Model for Inference using AWS SageMaker
From Model Artifact to Live Prediction Endpoint
In the previous step (Day 17), we:
trained a model
saved it as an artifact
uploaded it to S3
Now we move to the most important stage:
Deploying
prasadsuman.hashnode.dev4 min read