Production ML Systems

(0 reviews)

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

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Description for Production ML Systems

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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