Machine Learning Starter Kit on AWS

Grid Dynamics Machine Learning Starter Kit helps you build a production-ready, cloud-native machine learning platform that enables end-to-end AI productization within weeks on AWS cloud.

Our starter kit can accelerate the:

• Build of an ML Platform from scratch on AWS
• Migration to AWS
• Upgrade of an existing ML Platform to leverage AWS cloud native services
• Adoption of DataOps best practices

The starter kit is designed to improve data accessibility and quality, increase speed to insights, and achieve significant ROI on AWS whether you are currently an ML expert on-premise or with another cloud provider.

Grid Dynamics will customize your ML platform architecture based on your business requirements while employing the AWS Well-Architected best practices.

The platform starter kit leverages Sagemaker for model development, Mlflow for experiments tracking, S3 as a feature store, EKS or Sagemaker for real-time serving and Amazon EMR (Elastic MapReduce) for batch serving. CI/CD automation is implemented on top of CodeBuild and Lambda, and platform deployment is fully automated on CloudFormation.

Outcome:

• Production-ready Machine Learning Platform: Our starter kit will provide you with a full spectrum of ML capabilities: feature store and model repository, experiments tracking, serving layer for batch and real time inference, and model CI/CD

For more than 15 years, Grid Dynamics has worked with AWS technologies on solutions such as cloud operations and DevOps and now has built a close relationship with AWS in taking organizations on their Machine Learning journey from initial ideas and goals to fully functioning production ready solutions.

Grid Dynamics holds a significant number of AWS certifications & competencies across both industry and technical domains, including the AWS Machine Learning Competency.