Introduction to Neural Networks and PyTorch
IBM · View on Coursera ↗
Taught by Joseph Santarcangelo, IBM Skills Network Team
Data ScienceComputer Science
About the course
Get ready to build the foundational PyTorch skills you need to launch your career as an AI Engineer – the fastest growing job title in the United States. Starting with tensors, this course takes you right through to fully trained classification models. You will master tensor operations, build custom datasets, and implement linear regression models using PyTorch's nn.Module and autograd system. Then, you will progress through gradient descent, stochastic and mini-batch training, loss functions,
The dissent
The most-upvoted critical review (26 votes, 1.0★).
“Horrible slides, instructor's monotonous voice, typos in exercises, and explanations are inadequate. Course is a rip off at 50 dollar a month.”
Coursera's 4.4 comes from 1,919 ratings. Of those, 6.7% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
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Reviews read on 23 Oct 2026.Read them on Coursera ↗