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DeepLearning.AI

PyTorch: Fundamentals

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, you’ll understand PyTorch’s workflow and be ready to design, train, and test your own neural networks with confidence.

Status: Model Evaluation
Status: Machine Learning
IntermediateCourse24 hours

Featured reviews

GF

5.0Reviewed Nov 23, 2025

Cover the fundamental in intuitive way, and reinforced it through jupyter notebook.

CD

5.0Reviewed Jan 16, 2026

Very well structured course! I was not lost at any time, thank you!

KN

5.0Reviewed Apr 8, 2026

The best PyTorch and might I say deep learning course out there!

KK

5.0Reviewed Nov 23, 2025

Used the course as a refresher. Nicely paced, along with good intuitive explanations of various tricks (batch norm, maxpooling, etc).

MW

5.0Reviewed Dec 18, 2025

Really well explained, and clear. Good labs and assignments.

SA

5.0Reviewed Jan 25, 2026

Well structured and packed with awesome resources like fun quizzes, guided labs, and exciting programming assignments!

BM

5.0Reviewed Nov 25, 2025

Very well explained fundamentals on PyTorch and Machine Learning. Much better than any other course I've done on the same subjects.

All reviews

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Benjamin Myers
5.0
Reviewed Nov 26, 2025
Silviu Teodor Popescu
3.0
Reviewed Jan 11, 2026
dgf
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Reviewed Nov 28, 2025
Sridhanajayan Suresh
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Ghee Chong Foo
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Christian Dietmann
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Reviewed Jan 16, 2026
Kamilla Szilvia Nagy
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Michael Webster
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李剑伟
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Vaibhav Pokhriyal
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Reviewed Dec 23, 2025