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MLOps & servingFoundationsMLO-01

What is MLOps?

Options

  1. A tool that trains models without any code
  2. A cloud provider for GPUs
  3. A type of neural network
  4. The practices for building, deploying, monitoring and updating machine learning systems reliably (Correct option)

Answer

The practices for building, deploying, monitoring and updating machine learning systems reliably

Why

MLOps brings DevOps ideas (automation, testing, versioning, monitoring) to machine learning.

It exists because an ML system is more than a model: it also depends on data, code and the environment, and all of them change over time.

The goal is to move from a notebook that works once to a service that keeps working.

Remember

MLOps = running ML in production reliably.

Key terms

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