Deploying ML Models with FastAPI and Docker
In the fast-paced world of machine learning, deploying applications efficiently and reliably is crucial for unlocking their full potential. This blog explores how to streamline the deployment process using FastAPI and Docker, with resources updated to and fetched from AWS (Amazon S3). We can ensure that machine learning applications achieve their highest potential by integrating these technologies. We’ll focus on deployment in an Amazon Linux environment, providing a clear and practical approach to setting up the machine learning applications.