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MLOps

Implement ML operations for continuous integration and deployment.

ML Pipelines​

  • SageMaker Pipelines
  • Workflow orchestration
  • Step dependencies and caching

Model Registry​

  • Model versioning
  • Approval workflows
  • Metadata management

Continuous Integration​

  • Automated testing
  • Model validation
  • Performance benchmarking

Monitoring and Governance​

  • Model drift detection
  • Data quality monitoring
  • Compliance and auditing