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PyTorch for Deep Learning and Computer Vision (Udemy.com)

Build Highly Sophisticated Deep Learning and Computer Vision Applications with PyTorch

4.6
2,244 reviews

Created by: Rayan Slim

Last updated December 2025

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What you will learn

  • Implement Machine and Deep Learning applications with PyTorch
  • Build Neural Networks from scratch
  • Build complex models through the applied theme of Advanced Imagery and Computer Vision
  • Solve complex problems in Computer Vision by harnessing highly sophisticated pre-trained models
  • Use style transfer to build sophisticated AI applications

How it compares

Against the other 126 rated Udemy courses in Deep Learning on CourseDuck:

  • Rating4.6 out of 5higher than 65% of them
  • Reviews2,244#35 of 127 by number of reviews
  • Length14.2 hourslonger than 66% of them
  • Last updatedDecember 2025more recently than 65% of them

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Course Description

PyTorch has rapidly become one of the most transformative frameworks in the field of Deep Learning. Since its release, PyTorch has completely changed the landscape in the field of deep learning due to its flexibility, and how easy it is to use when building Deep Learning models.

Deep Learning jobs command some of the highest salaries in the development world. This course is meant to take you from the complete basics, to building state-of-the art Deep Learning and Computer Vision applications with PyTorch.

Learn & Master Deep Learning with PyTorch in this fun and exciting course with top instructor Rayan Slim. With over 44000 students, Rayan is a highly rated and experienced instructor who has followed a "learn by doing" style to create this amazing course.

You'll go from beginner to Deep Learning expert and your instructor will complete each task with you step by step on screen.

By the end of the course, you will have built state-of-the art Deep Learning and Computer Vision applications with PyTorch. The projects built in this course will impress even the most senior developers and ensure you have hands on skills that you can bring to any project or company.

This course will show you to:

  • Learn how to work with the tensor data structure

  • Implement Machine and Deep Learning applications with PyTorch

  • Build neural networks from scratch

  • Build complex models through the applied theme of advanced imagery and Computer Vision

  • Learn to solve complex problems in Computer Vision by harnessing highly sophisticated pre-trained models

  • Use style transfer to build sophisticated AI applications that are able to seamlessly recompose images in the style of other images.

No experience required. This course is designed to take students with no programming/mathematics experience to accomplished Deep Learning developers.

This course also comes with all the source code and friendly support in the Q&A area.

Who this course is for:

  • Anyone with an interest in Deep Learning and Computer Vision

  • Anyone (no matter the skill level) who wants to transition into the field of Artificial Intelligence

  • Entrepreneurs with an interest in working on some of the most cutting edge technologies

  • All skill levels are welcome!
Read More All Levels All Levels product length iconTime: 14.2h

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Instructor Details

Rayan Slim

Rayan has helped over 250,000 students learn AI training, software development, and DevOps engineering. A senior DevOps engineer by trade, he is also a passionate AI practitioner with a focus on reinforcement learning and practical applications in autonomous systems. His expertise bridges the gap between infrastructure and intelligent systems, making complex technical concepts accessible to learners at all levels.

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Reviews

4.6

2,244 ratings on Udemy

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By Muhammad Imran Khan on 7/5/2022

The content organization, step by step explanation skills and the exercises are all excellent. Albeit, for theory, students' may have to do some self-study on specific topics, like optimization algorithms, etc., but the given lectures and their arrangements are superb for ant beginner who wants to get started in Deep Learning and Computer Vision. I feel lucky that I chose this course. Thank you to the instructor.

By Renzo on 11/7/2020

Great Course. I'm a Data Science student and this was good to refresh some theory as well as understanding the coding for CNN.

By Shabbirhussain Bhaisaheb on 10/10/2020

The explanation is crisp and up to point, some more time in the coding lessons could have been given for better intuition and understanding.

By Meng-Huan Tsai on 9/24/2020

Clear and well paced tutorial.

By Christiano Gava on 9/22/2020

Thank you very much for the clear explanations and rich material!

By Anmol Narang on 9/6/2020

good for beginners

By Berta Biescas on 9/1/2020

I really enjoyed this course. Theoretical explanation were great, all videos were really helpful and the code is very updated. I deeply recommend it!

By Don Tolley on 8/25/2020

Very clear and great explanation of both theory and code.

By Amiri McCain on 8/24/2020

Easy to follow and straightforward.

By Oleg Postoev on 8/23/2020

Pretty clear explanations many of themes in a course. Especially about convolutional neural networks, themes like conv2d, maxPooling, etc.
Even before the end of the course I wrote own model in PyTorch. Cool!

By Robert Lake on 8/14/2020

Great class well paced and enough to get you implementing complex cnns.

By Potential Motors on 8/12/2020

Great explanations, not boring. Thanks!

Showing 12 of 182 reviews

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Overall Score : 92 / 100

PyTorch for Deep Learning and Computer Vision
Visit course on Udemy Write a review
  • Video Duration: icon 14.2h
  • Price: $12.99
  • Provider: icon Udemy
  • Updated: icon December 2025
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
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