This lab will walk you through the following:

  • Deploy and configure a Video Recommendation application
  • Setting up a Jupyter Notebook environment for the Amazon Personalize Service Preview
  • Downloading and preparing training data, based on the Movie Lens data set
  • Importing prepared data into Amazon Personalize
  • Building an ML model based upon the Hierarchical Recurrent Neural Network algorithm (HRNN)
  • Testing your model by deploying an Amazon Personalize campaign
  • Adding your campaign to Video Recommendation application