Welcome to our tutorial on deploying a machine learning (ML) model on Amazon Web Services (AWS) Lambda using Docker. In this tutorial, we will walk you through the process of packaging an ML model as a Docker container and deploying it on AWS Lambda, a serverless computing service.
By the end of this tutorial, you will have a working ML model that you can invoke through an API, and you will have gained a deeper understanding of how to deploy ML models on the cloud. Whether you are a machine learning engineer, data scientist, or developer, this tutorial is designed to be accessible to anyone with a basic understanding of ML and Docker. So, let’s get started!