Paul Duvall

~45 second recording that goes through Building, Training, (Tuning), and Deploying Models (maybe not Tuning) using the Amazon Sagemaker console

Diagram should include: - AWS CloudFormation - AWS CodePipeline - Amazon S3 - AWS CodeBuild (for model training) - Amazon Sagemaker The intent of the diagram is to show how...

> Then, it shows how CodeBuild provisions Sagemaker resources, runs Python program that launches Sagemaker jobs, and tests endpoints. Actually, there's a point at which I think CodePipeline makes a...

For example, QuickSight Optionally, automate this as well - e.g. CloudFormation custom resource or some other way users can just "click the button")

Working on https://github.com/stelligent/mu-cloud9 (private for now)

> Currently you can use s3://... urls for the extensions and this will require the mu caller to be running as an IAM user/role with access to that S3 object....

This is supposed to be baked into the latest [tophat](https://github.com/stelligent/tophat), although I haven't tested it yet

https://github.com/stelligent/dromedary/issues/54 Correct. The AMI needs to be updated for all supported CodePipeline regions, not all AWS regions, since this solution runs on CodePipeline. As of today, this is us-east-1 and...

@dq922 Done. Sorry about that. I'd uploaded some new changes and didn't change the default permissions

Need to update the instructions to describe this in more detail (and perhaps run [installchefdk.sh](https://github.com/stelligent/stelligent_commons/blob/master/chefdk/installchefdk.sh) ). Ensure you can run this from a simple Amazon Linux EC2 instance and explicitly...