In this course, we will learn how to put your data science applications in Docker images and run those as containers on any infrastructure. These skills will help you maintain reproducibility and increase efficiency as you deploy your applications, and they will help you standardize your code to better fit into modern infrastructures, CI/CD tools, and DevOps practices.
We will cover:
- Why Docker, gettings started with Docker
- Docker-izing model training
- Docker-izing inference, services
- Managing and scaling Docker-ized data science apps