Course description

MLOps, or Machine Learning Operations, is a set of practices and tools that bridge the gap between data scientists and IT operations. It aims to streamline the process of deploying and managing machine learning models in production environments, ensuring their efficiency, reliability, and scalability.

What will i learn?

  • MLOps offers numerous benefits for organizations, including improved efficiency, enhanced model quality, enhanced collaboration, scalability, risk mitigation, and compliance. By streamlining the deployment and management of machine learning models, MLOps enables organizations to accelerate their time-to-market, reduce costs, and derive greater value from their data.

Requirements

  • BTech/MTech/MCA or equivalent

Frequently asked question

MLOps, or Machine Learning Operations, is a set of practices and tools that bridge the gap between data scientists and IT operations. It aims to streamline the process of deploying and managing machine learning models in production environments, ensuring their efficiency, reliability, and scalability.

the benefits of MLOps, such as faster time-to-market, improved model quality, and increased efficiency.

project manager

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Lectures

31

Skill level

Advanced

Expiry period

Lifetime

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