MLOps

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What is MLOps?

MLOps is a practice for collaboration and communication between data scientists and operations professionals to help manage production ML lifecycle. It is a set of best practices that aims to automate the ML lifecycle, including training, deployment, and monitoring. MLOps helps organizations to scale ML models and deliver business value faster.

Free resources to learn MLOps

MLOps: common questions

Can I learn MLOps in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain MLOps in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this MLOps tutorial for beginners?

It is lesson 186 of 186 in the free Data Engineer roadmap, in stage 43, MLOps. If you are new to Data Engineer, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.

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