Productionize Your Models In 6 Weeks

Getting started

1 Week To Discover

  • Define business use case
  • Identify data and data source requirements
  • Design data science algorithm and framework requirements

2 Weeks To Experiment

  • Define compute and storage requirements
  • Setup the infrastructure
  • Design and create the solution architecture
  • Design the workflow for experimentation
  • Bring data from multiple sources and version

3 Weeks To Production Deployment

  • Train and evaluate the models by performing multiple experiments in parallel
  • Compare experiments to arrive at the most optimum model
  • Deploy this model into production
  • Setup post deployment monitoring

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