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Given the rapid growth of machine learning applications and artificial intelligence, it is evident that developing an accurate model is merely one part of the equation. To successfully deliver a machine learning-driven product, organisations must establish robust MLOps practices and infrastructure capable of training, deploying, and managing ML models in production. Key topics covered include:

  • MLOps tools
  • Model drift and monitoring
  • Seamless retraining and model versioning
  • Data versioning along with artefact storage


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Reach out to learn more about our team and the kinds of tailored solutions we can offer your organization.

opleidingen@nobleprog.com or +31 208 080 666