PyTorch: Fundamentals
DeepLearning.AI · View on Coursera ↗
Taught by Laurence Moroney
Computer ScienceData Science
About the course
This course introduces you to the core principles of deep learning through hands-on coding in PyTorch. You’ll start by learning how PyTorch represents data with tensors and how datasets and data loaders fit into the training process. Step by step, you’ll build and train neural networks, experiment with different architectures, and explore how models learn from examples. You’ll also learn how to monitor training progress, interpret results, and evaluate performance. By the end of the course,
The dissent
The most-upvoted critical review (1 vote, 3.0★).
“It is an interesting course although not that engaging since most of the assignments are to straightforward and making it very easy to pass.”
Coursera's 4.8 comes from 110 ratings. Of those, 2.7% are 1–2★.
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Reviews read on 23 Oct 2026.Read them on Coursera ↗