From the course: Machine Learning with SageMaker by Pearson
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VPC demonstration - Amazon SageMaker Tutorial
From the course: Machine Learning with SageMaker by Pearson
VPC demonstration
As I mentioned in the slides for this lesson, virtual private cloud is a way to logically isolate or segregate traffic within AWS. You create a VPC, you have public subnets, you have private subnets, and then you attach network interfaces to those subnets. Those network interfaces are then associated with various things within AWS, like an EC2 instance, or an EC3 instance, or an EC4 instance. AWS, like an EC2 instance or a SageMaker AI model inference endpoint. So let's go ahead and do all of this from scratch. We're going to create a VPC, we're going to attach an endpoint to it, we're going to launch a Jupyter Notebook attached to that VPC, and see if we can run some inference against a endpoint that is in a private subnet in our VPC. So there is a wizard to create VPCs. You don't have to be a networking expert to create your own VPC in here. Let's go to create VPC. If you do VPC only, then you got to start thinking about networking. But if you do VPC and more, you can have it do all…
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