Udemy is an online learning platform that offers a wide range of PyTorch courses. Udemy’s PyTorch courses cover various topics such as Tensors and Operations, Loss Functions and Optimization, Data Loading and Preprocessing, Natural Language Processing, Deep Learning, etc.

Whether the candidate is a complete beginner or an experienced professional looking to improve his/her skills, there are PyTorch courses on Udemy that cater to their needs, with affordable pricing, lifetime access to course materials, and the convenience of self-paced learning.

Udemy online courses are priced between USD 50 and USD 200, offering flexibility for different budget levels. Students can enroll in any course using the join now links below and get up to 90% discount.

Top PyTorch Courses on UdemyRegistration Link
PyTorch: Deep Learning and Artificial Intelligence
Deep Learning with PyTorch
PyTorch for Deep Learning with Python Bootcamp
Hands-on Computer Vision with PyTorch 1x
PyTorch for Deep Learning in 2023: Zero to Mastery
PyTorch Tutorial – Neural Networks & Deep Learning in Python
PyTorch for Deep Learning and Computer Vision
PyTorch for Deep Learning Bootcamp: Zero to Mastery
PyTorch Ultimate 2023: From Basics to Cutting-Edge
Deep Learning with PyTorch for Medical Image Analysis
A deep understanding of deep learning (with Python intro)
Deep Learning for Beginners: Core Concepts and PyTorch
Introduction to Generative Adversarial Networks with PyTorch
The Complete Neural Networks Bootcamp: Theory, Applications
Modern Computer Vision™ PyTorch, Tensorflow Keras & OpenCV4
Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2)
Mastering Image Segmentation with PyTorch
The Complete Prompt Engineering Course
Deep Learning for Image Segmentation with Python & Pytorch
Data Science: Modern Deep Learning in Python

PyTorch: Deep Learning and Artificial Intelligence

This is one of the highest-rated PyTorch courses on Udemy. The course will teach how to build a Deep Reinforcement Learning Stock Trading Bot, Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs), demonstrate Moore’s law using code, and other concepts related to Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, and Reinforcement Learning.

  • Course Rating: 4.8/5
  • Duration: 24.5 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits150 video lectures, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: PyTorch: Deep Learning and Artificial Intelligence

Learning Outcomes

Learn how to use a stock trading botNatural language processing
Transfer learning for computer visionProduce cutting edge image classifiers using transfer learning

Deep Learning with PyTorch

This is one of the highest-rated PyTorch courses on Udemy. The course throws light on deep learning and real-life uses of deep learning with PyTorch. The course also goes into the details of neural networks and the different aspects of it.

  • Course Rating: 4.8/5
  • Duration: 3.5 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 1 downloadable resource, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: Deep Learning with PyTorch

Learning Outcomes

Discover how to implement adjustments and exploratory analysis to enhance the neural network modelLearn how to evaluate a neural network’s training and track its performance
Learn how to create a Deep Learning project using Jupyter NotebookDiscover measures to analyse general performance and how to evaluate a neural network model
Study the underlying mathematics of neural networks

PyTorch for Deep Learning with Python Bootcamp

This is one of the most famous PyTorch courses on udemy with over 25,000 student enrollments. The course deals with the use of NumPys, the use of Panda for data manipulation, the use of PyTorch along with Recurrent Neural Networks for Sequence Time Series Data and other related concepts.

  • Course Rating4.6/5
  • Duration: 17 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 17 hours of on-demand video, 2 articles, 2 downloadable resources, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: PyTorch for Deep Learning with Python Bootcamp

Learning Outcomes

Recurrent neural networks for sequence time series data in PyTorchLearn how to format data into arrays using NumPy
Make cutting-edge Deep Learning models that can be used with tabular dataUtilise Pandas to clean and manipulate data.

Hands-on Computer Vision with PyTorch 1x

This course is for PyTorch beginners who want to learn computer vision. The course gives practical insights into the use of computer vision and teaches various aspects of PyTorch, and other features related to computer vision.

  • Course Rating: 4.6/5
  • Duration3 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 3 hours of on-demand video, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: Hands-on Computer Vision with PyTorch 1x

Learning Outcomes

Learn about ResNets, Neural Style Transfer, data augmentation, and other computer-vision-related subtopicsBecome an expert practitioner with practical knowledge of computer vision after starting off as a novice.
Utilise PyTorch’s features, including tensors, dynamic graphs, auto-differentiation, and others.Splitting, enhancing, and drawing conclusions from datasets with ease
Easily extracting data from ground-breaking research publications

PyTorch for Deep Learning in 2023: Zero to Mastery

This course has over 10,000 students enrolled and is popular among PyTorch learners on Udemy. The course goes into full details of PyTorch fundamentals from scratch. The course also teaches skills needed to be a deep learning engineer.

  • Course Rating4.6/5
  • Duration52 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 52 hours of on-demand video, 7 articles, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: PyTorch for Deep Learning in 2023: Zero to Mastery

Learning Outcomes

How to design a machine learning (ML) algorithm to detect patterns in data, then utilize that algorithm as an artificial intelligence (AI) to improve your apps.Construct machine learning algorithms and use them in the same way that you would construct a Python program.
Master deep learning to stand out to employers looking for Deep Learning Engineers.

PyTorch Tutorial – Neural Networks & Deep Learning in Python

This is an introductory course to neural networks and deep learning in Python. The course teaches the basics of both concepts, AI in deep learning and neural networks, and the application of Python in neural networks and deep learning.

  • Course Rating: 4.6/5
  • Duration: 6.5 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 6.5 hours of on-demand video, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: PyTorch Tutorial – Neural Networks & Deep Learning in Python

Learning Outcomes

Python applications for neural networks – setting up the Anaconda environment to launch PyTorchOverview of Deep Learning and Neural Networks: Theoretical foundations for key ideas (like deep learning) without the technical lingo
Implement deep learning neural networks using PyTorch to analyse visual data.Theoretical foundations of key ideas (like deep learning) without the language

PyTorch for Deep Learning and Computer Vision

This course teaches complicated aspects of PyTorch and Python applications. It deals with various problems that one may face while learning deep learning and computer vision.

  • Course Rating4.5/5
  • Duration: 10.5 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 10.5 hours of on-demand video, 3 downloadable resources, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: PyTorch for Deep Learning and Computer Vision

Learning Outcomes

Create intricate models by using the advanced imaging and computer vision theme.Utilise complicated pre-trained models to solve challenging computer vision challenges.
Build neural networks from the start

PyTorch for Deep Learning Bootcamp: Zero to Mastery

This course teaches the application of PyTorch in deep learning from beginner to advanced level. It teaches the use of Deep Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) for image classification in PyTorch and time series prediction in PyTorch.

  • Course Rating: 4.5/5
  • Duration: 9 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 9 hours of on-demand video, 3 downloadable resources, 3 articles, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: PyTorch for Deep Learning Bootcamp: Zero to Mastery

Learning Outcomes

Recurrent neural network (RNN) time series prediction using PyTorchNatural Language Processing (NLP) through PyTorch
Utilise PyTorch for Multilayer Perceptron (MLP) Linear RegressionRecognise the fundamental ideas behind neural networks and how they operate.

PyTorch Ultimate 2023: From Basics to Cutting-Edge

This course teaches the advanced application of PyTorch including Natural Language Processing (NLP), CNNs (Image, Audio-Classification and Object Detection), RNNs, Transformers, Style Transfer, Autoencoders, GAN, image classification, and new models like ChatGPT and OpenAI.

  • Course Rating: 4.5/5
  • Duration: 17.5 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 17.5 hours of on-demand video, 5 articles, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: PyTorch Ultimate 2023: From Basics to Cutting-Edge

Learning Outcomes

Learn how to create CNN models for object identification, style transfer, picture categorizationNatural Language Processing (NLP), CNNs (Image, Audio-Classification; Object Detection), RNNs, Transformers, Style Transfer, Autoencoders, GANs, recommenders
Learn about fresh models like OpenAI ChatGPT and new frameworks like PyTorch LightningApply cutting-edge techniques like Transformers to unique datasets

Deep Learning with PyTorch for Medical Image Analysis

This course teaches the application of PyTorch in real-life medical imaging tasks. It teaches the use of NumPy, the basics of medical image analysis, 2D and 3D data handling etc.

  • Course Rating: 4.4/5
  • Duration: 12 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 12 hours of on-demand video, 5 articles, 7 downloadable resources, 1 practice test, full lifetime access on mobile and TV, certificate of completion from Udemy

Join Now: Deep Learning with PyTorch for Medical Image Analysis

Learning Outcomes

Auto cancer segmentationData handling in medical image
Data formatting in medical imagingUse of NumPy

A deep understanding of deep learning (with Python intro)

This comprehensive deep learning course aims to provide in-depth knowledge and understanding of the principles, mathematics, and practical implementation of deep learning. This course covers a wide range of deep learning concepts, including neural network architectures, mathematical foundations, and practical Python-based implementations using PyTorch. This course offers valuable insights and practical skills for navigating the complex landscape of deep learning.

  • Course Rating: 4.6/5
  • Duration: 12.5 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 6 articles, 46 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion

Join Now: A deep understanding of deep learning (with Python intro)

Learning Outcomes

The theory and math underlying deep learningHow to build artificial neural networks
Architectures of feedforward and convolutional networksBuilding models in PyTorch

Deep Learning for Beginners: Core Concepts and PyTorch

This 9.5-hour course offers an accessible and intuitive introduction to Deep Learning, catering to individuals with little to no prior knowledge, including those without an engineering or computer science background. The course covers fundamental concepts and mechanics of Deep Learning, demystifying the subject and fostering an intuitive grasp of the core principles. It’s suitable for beginners, career transitioners, Python developers, and anyone eager to enhance their grasp of Deep Learning fundamentals.

  • Course Rating: 4.6/5
  • Duration: 12.5 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 6 articles, 46 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion

Join Now: Deep Learning for Beginners: Core Concepts and PyTorch

Learning Outcomes

Develop an intuitive understanding of Deep LearningVisual and intuitive understanding of core math concepts behind Deep Learning
Detailed view of how exactly deep neural networks work beneath the hoodComputational graphs (which libraries like PyTorch and Tensorflow are built on)
Build neural networks from scratch using PyTorch and PyTorch LighteningYou’ll be ready to explore the cutting edge of AI and more advanced neural networks like CNNs, RNNs, and Transformers

Introduction to Generative Adversarial Networks with PyTorch

This unique course offers a comprehensive exploration of Generative Adversarial Networks (GANs), ranging from the basics to the most recent research in the field. The course provides in-depth hands-on experience and insight into the mathematical foundations of modern GAN models. It is ideal for data scientists seeking to elevate their GAN skills, research, or postgraduate students desiring a comprehensive overview of recent advancements.

  • Course Rating: 4.6/5
  • Duration: 12.5 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 6 articles, 46 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion

Join Now: Introduction to Generative Adversarial Networks with PyTorch

Learning Outcomes

How Generative Adversarial Networks work internallyHow to implement state-of-the-art GANs techniques and methods using PyTorch
How to improve the training stability of GANs

The Complete Neural Networks Bootcamp: Theory, Applications

This comprehensive course is a deep dive into the world of Deep Learning and Neural Networks, covering theories and hands-on experience in PyTorch. It spans essential topics such as Neural Networks, Backpropagation, Loss Functions, Optimization techniques, Weight Initialization, and Regularization, and even delves into practical applications. The course also explores Transformers and even guides you in building a Chatbot with Transformers.

  • Course Rating: 4.6/5
  • Duration: 12.5 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 6 articles, 46 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion

Join Now: The Complete Neural Networks Bootcamp: Theory, Applications

Learning Outcomes

Understand how neural networks work (theory and applications)Understand how convolutional networks work (theory and applications)
Understand how recurrent networks and LSTMs work (theory and applications)Learn how to use PyTorch in-depth

Modern Computer Vision™ PyTorch, Tensorflow Keras & OpenCV4

This is a comprehensive course that delves into the world of Computer Vision, AI, and Deep Learning. It covers foundational theories and practical hands-on experience with the latest technologies. The course includes a wide range of projects and topics, from image operations, object detection, facial recognition, and video analysis to neural style transfer, generative adversarial networks, image segmentation, 3D computer vision, and much more.

  • Course Rating: 4.6/5
  • Duration: 12.5 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 6 articles, 46 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion

Join Now: Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

Learning Outcomes

All major Computer Vision theory and concepts!Learn to use PyTorch, TensorFlow 2.0, and Keras for Computer Vision Deep Learning tasks
OpenCV4 in detail, covering all major concepts with lots of example codeAll Course Code works in accompanying Google Colab Python Notebooks

Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2)

This comprehensive deep reinforcement learning course offers a structured framework for understanding and implementing deep reinforcement learning research papers. It covers foundational algorithms like Deep Q learning, Double Deep Q learning, and Dueling Deep Q learning with practical Python implementations using PyTorch and TensorFlow 2. The course also provides essential knowledge for beginners, including the fundamentals of reinforcement learning, Markov decision processes, Q learning, and deep learning using PyTorch. It suits Python developers interested in mastering cutting-edge deep reinforcement learning techniques.

  • Course Rating: 4.6/5
  • Duration: 12.5 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 6 articles, 46 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion

Join Now: Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2)

Learning Outcomes

How to read and implement deep reinforcement learning papersHow to code Deep Q learning agents
How to Code Double Deep Q Learning AgentsHow to Code Dueling Deep Q and Dueling Double Deep Q Learning Agents

Mastering Image Segmentation with PyTorch

“Mastering Image Segmentation with PyTorch” is a comprehensive course designed for individuals at all levels, from beginners to experts, who are interested in delving into the world of image segmentation using PyTorch. The course covers fundamental topics such as tensor handling, autographed for automatic gradient calculations, modeling with linear regression from scratch, data loaders, hyperparameter tuning, CNN theory, and semantic segmentation.

  • Course Rating: 4.6/5
  • Duration: 12.5 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 6 articles, 46 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion

Join Now: Mastering Image Segmentation with PyTorch

Learning Outcomes

Implement multi-class semantic segmentation with PyTorch on a real-world datasetGet familiar with different architectures like UNet, FPN
Understand the theoretical background, e.g. on upsampling, loss functions, evaluation metricsPerform data preparation to reshape inputs to the appropriate format

The Complete Prompt Engineering Course

This is a comprehensive learning experience designed to empower individuals with the unique skills of a Prompt Engineer. This course covers a wide array of topics, including Language Models (LLMs), prompt design, machine learning, Python, PyTorch, and Langchain. The course is ideal for business professionals, tech enthusiasts, career changers, and lifelong learners curious about AI’s impact on our world.

  • Course Rating: 4.6/5
  • Duration: 12.5 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 6 articles, 46 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion

Join Now: The Complete Prompt Engineering Course

Learning Outcomes

From foundations to experts, learn about every major Prompt Engineering topic.Master the basics of prompt engineering and the psychology of AI interactions.
Learn the art and techniques of crafting effective AI prompts.Understand and apply best practices in prompt engineering using Python and PyTorch.
Develop practical skills through video demos of AI applications and prompt tools.Explore various AI LLMs, agents, tools, and frameworks such as Open AI, Hugging Face, and Langchain.

Deep Learning for Image Segmentation with Python & Pytorch

This comprehensive course on Deep Learning for Semantic Image Segmentation empowers learners to apply cutting-edge techniques to real-world problems. It covers the fundamentals of Semantic Segmentation, and then progresses to hands-on implementation using Python and PyTorch. Students and professionals from various backgrounds, including Computer Science and Electrical Engineering, can gain in-depth knowledge of Semantic Segmentation’s theory and practical applications.

  • Course Rating: 4.6/5
  • Duration: 12.5 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 6 articles, 46 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion

Join Now: Deep Learning for Image Segmentation with Python & Pytorch

Learning Outcomes

Learn Image Semantic Segmentation Complete Pipeline and its Real-world Applications with Python & PyTorch using Google ColabDeep Learning Architectures for Semantic Segmentation (UNet, DeepLabV3, PSPNet, PAN, UNet++, MTCNet, etc.)
Datasets and Data Annotations Tool for Semantic SegmentationData Augmentation and Data Loaders Implementation in PyTorch

Data Science: Modern Deep Learning in Python

This advanced deep learning course builds upon the foundation established in the “Deep Learning in Python” course. This course emphasizes understanding and implementing machine learning algorithms, making it ideal for those seeking a deep, hands-on learning experience. It’s designed for students, professionals, and data scientists looking to advance their deep learning knowledge and skills.

  • Course Rating: 4.6/5
  • Duration: 12.5 hours
  • Fees: Click on the Join Now link to get a 90% discount
  • Benefits: 6 articles, 46 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion

Join Now: Data Science: Modern Deep Learning in Python

Learning Outcomes

Apply momentum to backpropagation to train neural networksApply adaptive learning rate procedures like AdaGrad, RMSprop, and Adam to backpropagation to train neural networks
Understand the basic building blocks of TensorFlowBuild a neural network in TensorFlow

Udemy PyTorch Courses: FAQs

Ques. Should I do a PyTorch course from Udemy if I have no prior experience?

Ans. Pursuing a basic Udemy course on PyTorch is a great way to get started with PyTorch and build a strong foundation if you have little or no familiarity with it. You may select a PyTorch course that corresponds to your current experience. Choose courses that include exercises or hands-on projects to help you put what you learn into practice.

Ques. Name the top PyTorch courses on Udemy.

Ans. As per the current student ratings, the following are the top PyTorch courses on Udemy:

  • PyTorch: Deep Learning and Artificial Intelligence
  • Deep Learning with PyTorch
  • PyTorch for Deep Learning with Python Bootcamp

Ques. Can we get PyTorch courses on Udemy for free?

Ans. Udemy offers free courses on a range of topics including marketing, personal development, programming, and more. To view the available range of courses, go to the ‘Free’ section of Udemy’s website.

Ques. Is learning PyTorch from Udemy worth it?

Ans. Depending on your learning preferences and objectives, studying PyTorch through Udemy may be a wise choice. Pre-recorded video lectures and study materials are the added advantage of Udemy courses. Udemy could be a good choice for you if you like self-paced video lectures.

Ques. How long will it take to learn PyTorch?

Ans. The time it takes to learn PyTorch can vary widely depending on your background, prior experience with programming and machine learning, and your specific learning goals. However, it takes around 1-3 months of dedicated training to master PyTorch.

Ques. What is the salary of a PyTorch developer?

Ans. The salary of a PyTorch developer ranges between INR 3,00,000 – 7,00,000 per annum in India.

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