How to deploy Machine Learning Algorithms to AWS SageMaker using Docker

AWS provides platform to deploy our Machine Learning workloads. We can deploy our custom ML algorithms on AWS SageMaker using Docker.

First of all login into your AWS account. If you don't have one create a free tier account so that your don't incur any cost.

Create a notebook instance in SageMaker.

Inside that Notebook instance create Docker container that will host your ML Algorithm.

Push that Docker to ECR (Elastic Container Registry).

Now your Algorithm is host in AWS.

Use the AWS Console UI to start a training job using your custom Algorithm in ECR.

For Step by step process watch this video on YouTube.