Introduction To Machine Learning Deployment Using Docker and Kubernetes

ideanesia

estimated reading time: 21 min

Deployment is perhaps one of the most overlooked topics in the Machine Learning world. But it most certainly is important, if you want to get into the industry as a Machine Learning Engineer (MLE). In this article, we will take a sober look at how painless this process can be, if you just know the small ins and outs of the technologies involved in deployment.

All the files for this project are available on GitHub, and you can perhaps use this project as a Hello World application, such that you have something running and later on replace it with something more complex.

  1. Setup & Installation
  2. What Is Docker And Kubernetes?
  3. A Sample Project

View original post 4,054 more words