DRIV: Duke Robotics, Intelligence, and Vision

Main / AWS

Accessing Amazon Web Services (AWS)

  • Logging in to the AWS console

Using SageMaker

  • Via Jupyter Notebooks
  • Via the Command Line Interface
  • Instance types to use in SageMaker
  • Git Repositories and SageMaker
  • Access AWS S3 on SageMaker Instance
  • Stop Instance When Finished Running a Job
  • SageMaker Training using TensorFlow

Using Elastic Compute Cloud (EC2)

  • Create and Connect to an EC2 Instance
  • Accessing S3 buckets from EC2

Using Amazon Simple Storage Service (Amazon S3)

  • Access S3 Through Website and AWS Command Line Interface (CLI)

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