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Learner Reviews & Feedback for Deep Learning with PyTorch by IBM
96 ratings
About the Course
Get hands-on experience in building and deploying intelligent systems using PyTorch by using one of the most widely used deep learning frameworks in AI development.
In this practical course, you’ll gain job-ready skills in deep learning, machine learning, and neural networks, boosting your resume for roles like AI Engineer, Machine Learning Engineer, and Data Scientist.
Through the course, you’ll implement logistic regression and softmax regression, train deep neural networks, and build convolutional neural networks (CNNs) for real-world image classification tasks. You’ll master core techniques such as gradient descent, backpropagation, and cross entropy loss, while improving performance with weight initialization, dropout regularization, and batch normalization. Additionally, you’ll leverage GPU acceleration, perform hyperparameter tuning, and apply transfer learning using pretrained models like ResNet18.
Finally, you’ll complete a project, where you’ll design, train, and evaluate models using modern model optimization and data preprocessing workflows. Great to talk about in interviews!
Enroll today to accelerate your career in deep learning, AI, and machine learning.
Top reviews
CG
Apr 7, 2025
not get the certificate I complete the total course
MS
Feb 8, 2026
This course is very good. Very informative and interesting.
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26 - 27 of 27 Reviews for Deep Learning with PyTorch
By Jason M
•Sep 30, 2025
grading on final exam has an example image that contradicts the written instructions I lost a day of my life resubmitting this over and over, with the correct answer getting graded as incorrect. Fix this by changing the image in the last question, to show the lesser accuracy graph , which is written in words as min 85%, but is shown as 89% confusing the graders
By Pruthvi G
•Feb 21, 2026
worst course because i have completed the last module but also the tick mark didnt appear