Deploying a machine learning model can be a complex process. FastAPI and Docker offer a streamlined way to package and deploy a machine learning model, making it easier to share the work with others or integrate it into a larger application.
By using FastAPI and Docker to deploy the machine learning model, you can benefit from faster development time, greater flexibility, and easier collaboration. This presentation will cover the basics of creating a Machine Learning model, using FastAPI to expose the model via a REST API, and deploying the Web Service with a Docker container.