Model API Deployment

Let’s say we’ve already trained a machine learning model to predict the likelihood that an online retail customer will make a purchase, using features like user age, session length, and number of items viewed. Now, we want to deploy this model to serve real-time predictions through an API endpoint on AWS.

How would you design the deployment system to ensure the model is reliably and scalably accessible as an API, and what trade-offs or best practices would you consider in your approach?