Learning AI with PyTorch 🚀

Are you on your journey to learn AI?
Want to master PyTorch and even implement scientific papers from scratch?

Here are the best free PyTorch-first resources I started from:

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1. freeCodeCamp – PyTorch for Deep Learning & Machine Learning (full course, free)
   Comprehensive 26-hour video course + GitHub materials.

2. Daniel Bourke – Learn PyTorch for Deep Learning in a Day (free)
   Fast, hands-on intro + excellent companion repo/online book.

3. Udacity – Intro to Deep Learning with PyTorch (free course)
   Covers CNNs, RNNs, style transfer, sentiment analysis.

4. fast.ai – Practical Deep Learning for Coders (free)
   Legendary PyTorch-based course with companion book.

5. Aladdin Persson – PyTorch Tutorials (playlist, free)
   Clear tutorials moving from beginner to intermediate.

6. Microsoft Learn – PyTorch Fundamentals (free path)
   Short, guided modules (vision, NLP, speech).

7. IBM / Coursera – Intro to Neural Networks and PyTorch (free to audit)
   MOOC with labs. ⭐ ~4.4/5 (1.8k+ reviews).

8. PyTorch Official Tutorials (free)
   Canonical, constantly updated path for APIs and recipes.

9. Part of Stanford CS224N | PyTorch Tutorial
   The Colab Notebook used in this tutorial can be found here: PyTorch Tutorial.
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👉 Quick start tip:
Do #1 (or #2) → then #8 for API basics → finish with #4 for a deeper, project-driven curriculum.