Dataiku offers numerous capabilities for implementing a complete MLOps practice:

This section focuses on the following MLOps-specific capabilities:

  • Curating features in a Feature Store

  • Evaluating and comparing models and model versions

  • Analyzing drift

  • Importing models from external Machine Learning systems

  • Tracking code experiments

  • Monitoring projects, endpoints and models health

The Dataiku Academy includes an MLOps Practitioner learning path, and the Knowledge Base has further resources on MLOps and operationalization.