Docker containers

Welcome back to our series on model deployment in AWS! In the fast-paced world of machine learning and data science, the ability to deploy models efficiently and reliably is crucial. This is where AWS services, with their vast array of tools and capabilities, come into play. In this second installment, we will delve into the potent combination of AWS Lambda and Docker, coupled with the convenience of storing models in S3. This trio offers a scalable, cost-effective, and streamlined solution for deploying machine learning models in a production environment. If you recall, in the first part of our series, we [...]