- End-to-end MLOps platform for 6 different ML frameworks and custom accelerators to transform your ML use cases from concept to production.
- The platform offers 3 steps of MLOps starting with the “Dev” stage where we unit test the ML modules required in your use case.
- This is followed by the “Test” stage where we build ML pipelines with Kubeflow and Airflow.
- Finally the “Prod” stage deploys the ML components into production with model monitoring and CI/CD.
- The platform is supported by code in GitHub with examples.
Artificial Intelligence Leader, Google Cloud
04:10PM - Day 1
01:50PM - Day 2