PyTorch

Lesson in the MLOps Roadmap · Stage 10: Orchestration & Deployment

Last updated 14 September 2026

What is PyTorch?

PyTorch is an open-source machine learning framework primarily developed by Meta AI. It's used for a variety of applications, including computer vision, natural language processing, and reinforcement learning. PyTorch is known for its dynamic computation graph, which allows for more flexibility and easier debugging compared to static graph frameworks. It provides a comprehensive set of tools and libraries to build and train neural networks.

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Free resources to learn PyTorch

Official docsPyTorch
Official docsPyTorch Docs
ArticleWhat is PyTorc? | IBM
ArticlePyTorch Explained: From Automatic Differentiation to Training Custom Neural Networks
VideoPyTorch in 100 seconds
VideoPyTorch for Deep Learning & Machine Learning – Full Course

PyTorch: common questions

Can I learn PyTorch 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 PyTorch 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 PyTorch tutorial for beginners?

It is lesson 45 of 62 in the free MLOps roadmap, in stage 10, Orchestration & Deployment. If you are new to MLOps, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.