AWS Sagemaker

Course Curriculum

  • Sagemaker Introduction
  • Cancer detection problem statement
  • Sagemaker in ML Development
  • Setting up sagemaker for project
  • Creating S3 bucket
  • Sagemaker notebook instance
  • Uploading cancer data to notebook environment
  • Unzip data for exploration
  • Pushing data to S3
  • Configurating built in image classification algorithm using low
  • level sagemaker python libraries
  • Configurating built in image classification algorithm using
  • high level sagemaker python libraries
  • Cancer detection using custom algo-tensorflow
  • Tensorflow scripting
  • Training ML model in sagemaker
  • Creating and monitoring training job
  • Creating and monitoring tuning job
  • Model deployment
  • ML model deployment for regression problem
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