The objective of this project is to finish the following steps:
- Train and deploy a model on Sagemaker, using the most appropriate instances. Set up multi-instance training in your Sagemaker notebook.
- Adjust your Sagemaker notebooks to perform training and deployment on EC2.
- Set up a Lambda function for your deployed model. Set up auto-scaling for your deployed endpoint as well as concurrency for your Lambda function.
- Ensure that the security on your ML pipeline is set up properly. Step 1: Training and deployment on Sagemaker: Created Sagemaker notebook instance I have used ml.t3.large as this is sufficient and has a low cost to run my notebook.