In this video we will see how to deploy machine learning API within a containerized docker environment. Docker image is the foundation building block for running any application within kubernetes environment.
This video will cover below concepts
1) How to create dockerfile for ML API deployment?
2) How to run different docker commands to build, run and debug?
3) How to push docker image to docker hub
4) How to test ML API endpoint which is exposed by the running ML API docker container?
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