10 Best Online PyTorch Courses & Classes Right Now 2022

Top 11 Best Online PyTorch Courses & Classes

PyTorch has quickly catapulted itself to global popularity because of its deep integration with the Python programming language and its efficient and intuitive nature, especially compared to Numpy and Tensor. So if you want to break into machine learning on the back of PyTorch, you’ve come to the right place!

In this article, I have gathered all the best online PyTorch courses in 2020 that will make you a confident deep learning practitioner in this Facebook-developed framework. You will learn how to build computational graphs on the fly, train on large datasets, leverage the cloud, and much more.

These online modules to use PyTorch basics include a ton of info including:

  • Event-driven architecture
  • CNNs (image classification) and RNNs
  • Natural language processing and transformer models
  • Deep learning for NLP
  • PyTorch activation functions
  • Backpropagation
  • Batch normalization
  • Dropout functions
  • Building simple GANs
  • Much more!

You will get certificates of completion in most of these online courses, so you’ll have something to put a stamp of credibility on your newly acquired skills. Let’s get started!

Top 10 Best Online PyTorch Courses & Classes


1. PyTorch Essential Training: Deep Learning (LinkedIn Learning)

PyTorch Essential Training_ Deep Learning (LinkedIn Learning)

One of the benefits of PyTorch is how it can easily train networks on the GPU instead of the CPU. If you want to get a solid overview of the capabilities of PyTorch and leverage GPU training, get enrolled in this intermediate-level online PyTorch course on LinkedIn right away.

In this online course, you will be taught by Jonathan Fernandes. Jonathan has a bachelor’s degree in computer science from the National University of Singapore and serves as the machine learning product manager at DXC Technology.

Through 1 hour of bite-sized video lessons, you will learn the basics of building convolutional neural networks in PyTorch with topics like training a network, testing on a dataset, using tensors, defining loss functions, utilizing optimizers and autograd, GPU/CPU usage, and much more.

If you are a new or premium user on LinkedIn, you can take this online course for free, and earn a certificate of completion once you’re done with it!

  • Intermediate level
  • 1 hour long
  • Taught by senior machine learning engineer
  • Certificate of completion
  • Free access for new/premium LinkedIn users

2. Foundations of PyTorch (Pluralsight)

Foundations of PyTorch (Pluralsight)

PyTorch has paved the way when it comes to building dynamic computational graphs that make prototyping a lot faster. So if you want to experience the thrill of dynamic graphs while learning PyTorch, you should check out this beginner-level online PyTorch course on Pluralsight.

As for your instructor, Janani Ravi will be teaching you in this online course. Janani has a master’s degree in computer science from Stanford, after which she spent over 7 years working at Google. She was a proud member of the team that developed Google Docs as a collaborative framework.

In this 3 hours long online PyTorch course, Janani will take you through the deep learning frameworks of neural networks before showing you how to implement them using PyTorch. You will learn to make computational graphs, use tensors and variables, apply autograd, and much more.

You can take a free 10-day trial of Pluralsight and gain access to this online course along with hundreds of others – complete as much as you can in 10 days!

  • Beginner level
  • 3 hours long
  • Taught by Stanford graduate and Google engineer
  • Free 10-day trial of Pluralsight
  • Certificate of completion

3. Transfer Learning for Images Using PyTorch: Essential Training (LinkedIn Learning)

Transfer Learning for Images Using PyTorch Essential Training (LinkedIn Learning)

Transfer learning has made it possible for deep learning models to generalize to other problems and datasets, and PyTorch API has excellent functionalities to leverage it. So take this intermediate-level online PyTorch course on LinkedIn if you want to get deeper into the world of transfer learning.

Jonathan Fernandes, a senior machine learning engineer, will be teaching you in this online course. Jonathan has an undergraduate degree in computer science from the National University of Singapore, and has published a wide range of courses on machine learning (like #2 in this list).

Over a course of 1 hour, you will dive into the world of transfer learning using PyTorch. As long as you have some background in coding and neural networks, you’ll enjoy going through topics like building fixed feature extractors, fine-tuning ConvNets, varying learning rates, and much more.

At the end of this online course, you will get a certificate of completion that you can share with your network if you want to attract potential employment opportunities in this exciting field!

  • Intermediate level
  • 1 hour long
  • Taught by highly experienced machine learning engineer and tutor
  • Certificate of completion
  • Free access for new/premium LinkedIn users

4. PyTorch for Deep Learning with Python Bootcamp (Udemy)

PyTorch for Deep Learning with Python Bootcamp (Udemy)

Next on my list is a comprehensive online PyTorch course on Udemy that will make you a deep learning expert in PyTorch. This beginner-level online course has been taken by over 10,000 students and has received an average rating of 4.6 stars.

Your teacher for this online course will be Jose Portilla, the head of data science at Pierian Data, Inc. Jose is a top Udemy instructor who has taught over 2 million students through his 31 published courses, earning more than 660,000 reviews with an average rating of 4.6.

In this massive 17 hours long online course, Jose will start by teaching you basic machine learning theory before taking you into a guided tour of PyTorch initialization, showing you how to make recurrent neural networks, build image classifiers, leverage the power of convolutions, and much more.

Don’t worry if you find that your knowledge is getting rusty down the road – with full lifetime access, you can always come back to review the course contents, even after 50 years!

  • Beginner level
  • 17 hours long
  • Taught by experienced data scientist and top Udemy instructor
  • Certificate of completion
  • Full lifetime access

5. Deep Learning with Python and PyTorch (edX)

Deep Learning with Python and PyTorch (edX)

If you’re looking for an in-depth online PyTorch course that will give you loads of hands-on practice and teach you state-of-the-art technologies, then this online course on edX is for you. Take this intermediate-level online course to become an expert at deep learning using PyTorch.

In this online course, you will be instructed by Joseph Santarcangelo. Joseph has a Ph.D. in electrical engineering and is currently employed at IBM as a data scientist. Joseph is highly experienced as a researcher in computer vision, gradient descent, and machine learning.

You will spend 6 weeks to complete this online course if you put in 2-4 hours every week. During this period, you will learn about classification, deep neural networks, computer vision, dimensionality reduction, various kinds of auto-encoders, and much more.

Although you can access the course contents for free, you can add a verified certificate of completion to your profile at the end of this online course for a small fee!

  • Intermediate level
  • 6 weeks long with 2-4 effort hours per week
  • Taught by Ph.D. data scientist from IBM
  • Certificate of completion
  • Free auditing of course contents

Visit edX.org

6. Practical Deep Learning with PyTorch (Udemy)

Practical Deep Learning with PyTorch (Udemy)

To get better at PyTorch, you must practice a lot of PyTorch. This is the philosophy behind the training models and algorithms of this intermediate-level online PyTorch course on Udemy that has been taken by close to 6,000 students. This is the perfect choice for people who prefer practical hands-on learning instead of long lectures.

As for your instructor, Ritchie Ng will be teaching you in this online course. Ritchie is the instructor behind Deep Learning Wizard, an online repository that seeks to help people learn from the deep learning library. He is an NVIDIA Deep Learning Institute instructor.

In this 6 ½ hours long online course, you will start with the fundamentals of PyTorch like matrices and variables, before going on to more advanced topics like linear and logistic regression, feed-forward, convolutional, and recurrent networks, long short-term memory networks, and much more.

Once you’re done with this online course, you will find it quite natural and instinctive to code up a neural network of your choice in no time!

  • Intermediate level
  • 6 ½ hours long
  • Taught by instructor from NVIDIA Artificial intelligence/Deep Learning Institute
  • Certificate of completion
  • Full lifetime access

7. Deep Neural Networks with PyTorch (Coursera)

Deep Neural Networks with PyTorch (Coursera)

Part of IBM’s AI Engineering Professional Certificate on Coursera is this comprehensive online PyTorch course that has been taken by over 17,000 students. This intermediate-level online course will make you a confident and experienced deep learning practitioner who uses PyTorch.

Joseph Santarcangelo, a data scientist from IBM, will be teaching you in this online course. Joseph has a Ph.D. in electrical engineering and deep research interests in machine learning. He has published 8 courses on Coursera, teaching close to 400,000 students from around the world.

Through 31 hours of intense video lectures and practice labs, you will become comfortable with building neural networks and training them in PyTorch. You will build a foundation with linear regression and then move to topics like logistic and soft-max regression, and much more.

With Coursera, you can apply for financial aid if you can’t afford the full fees for this online course – and complete it for free!

  • Intermediate level
  • 31 hours long
  • Taught by Ph.D. data scientist from IBM
  • Certificate of completion
  • Financial aid available

8. Building Your First PyTorch Solution (Pluralsight)

building Your First PyTorch Solution (Pluralsight)

If you’re intimidated by all the online courses that require you to have some knowledge beforehand, this beginner-level online PyTorch course on Pluralsight is the perfect choice for you. These modules will start you with PyTorch from scratch and help you get comfortable with the basics.

Your instructor for this online PyTorch course will be Janani Ravi, a master’s graduate from Stanford who has over 7 years of experience working for Google. Janani was one of the Google engineers who built the Google Docs collaborative editing framework.

In this 2 ½ hours long online course, you will get started with PyTorch by first learning how to install it using pip and conda parameters on your own machine, set up the integration with the GPU, and then building your first linear and logistic regression network, and much more.

By the end of this online PyTorch course, you will have enough hands-on practice to start tackling larger challenges and problems!

  • Beginner level (great for new learners with no prerequisites)
  • 2 ½ hours long
  • Taught by experienced Google Engineer
  • Certificate of completion
  • Free 10-day trial

Visit Pluralsight.com

9. Intro to Machine Learning with PyTorch (Udacity)

Intro to Machine Learning with PyTorch (Udacity)

Next on my list is a hands-on and career-driven online PyTorch course on Udacity that aims to make you capable of practicing machine learning using PyTorch and launch your own career. As part of this ‘nanodegree’, you will be working on real-world industry projects from experts.

You will be provided with instructors for this online course by Udacity itself. The team of instructors consists of senior machine learning engineers and data scientists who have master’s and Ph.D. degrees from some of the top universities in the world.

Over a course of 3 months (with 10 hours of studying per week), you will go through an in-depth program that will teach you how to implement supervised learning, deep learning, and unsupervised learning in the PyTorch framework, all the while building exciting and hands-on projects.

As part of this package, you will have technical mentor support to help you with your learning problems, and a personal career coach to get your PyTorch career up and running!

  • Intermediate level
  • 3 months long with 10 hours of studying per week
  • Taught by team of experienced machine learning engineers
  • Certificate of completion
  • Scholarships/discounts available
  • Personal career coach/technical mentorship services

10. PyTorch Tutorials (Official PyTorch website)

PyTorch Tutorials (Official PyTorch website)

The final entry on my list is the online resource repository developed by the team behind PyTorch itself. This is an ideal resource for people who do not need very structured learning and can chart their own paths as they build their projects and get better at PyTorch.

Technical experts from the PyTorch team have worked together to build this online repository of tutorials and information. Since this is coming from the developers of PyTorch themselves, you can be sure that nothing will go uncovered or unaddressed.

In this online collection, you will find videos and articles that will help you get started (like the 60-minute blitz) with PyTorch and understand all the functions it can perform. You will also find a categorized section where you can locate the material on topics like image/text/audio, and much more.

You will come across a lot of ‘recipes’ and code examples that you can use directly in your own projects to accomplish your goals if you prefer PyTorch over TensorFlow!

  • Beginner/intermediate/advanced level
  • Online collection of resources
  • Developed by the team behind PyTorch
  • Categorized articles on various topics
  • Code recipes and examples

Visit Pytorch.org

Want more programming and computer science content? Check out our other articles to help find the best path for you!

Leave a Reply

Your email address will not be published.