Production ML Systems

Production ML Systems

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Acquire the ability to differentiate between static and dynamic training and inference, manage model dependencies, establish distributed training for defect tolerance and replication, and generate exportable models.

Key AI Functions:Machine Learning,Google Cloud,dynamic training

Description for Production ML Systems

Features of Course

  • Contrast static and dynamic training and inference.
  • Oversee the dependencies of the model
  • Establish distributed training for the purpose of defect tolerance, replication, and other objectives.
  • Models that are exportable
  • Level: Advanced

    Certification Degree: Yes

    Languages the Course is Available: 1

    Offered by: On Coursera provided by Google Cloud

    Duration: 18 hours (approximately)

    Schedule: Flexible

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