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The MLOps Live Webinar Series is a complimentary webcast focusing on managing and automating machine learning pipelines to bring data science into real business applications. The sessions go beyond theory, with industry leaders sharing challenges and practical solutions that involve running AI experiments at scale, versioning, delivery to production, reproducibility and data access.

In this session you will learn how to:

  1. Enable continuous delivery of machine learning to production using Git-based ML pipelines (Github Actions) with hosted training and model serving environments
  2. Leverage Git to solve rigorous MLOps needs: automating workflows, reviewing models, storing versioned models as artifacts, and running CI/CD for ML
  3. Enable controlled collaboration across ML teams using Git review processes
  4. Implement an MLOps solution based on available open-source tools and hosted ML platforms (live demo)

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