Home Collections 15 Best + Free PyTorch Courses & Training Programs

15 Best + Free PyTorch Courses & Training Programs

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Deep learning jobs are securing the highest salaries in the developed world and the demand for machine learning engineers is rapidly growing. A study by O’Reilly states that job titles relevant to machine learning are huge at organizations with extensive work experience in machine learning. Data scientists (81%), ML engineers (39%), and deep learning engineers (20%). This number is expected to grow substantially in the upcoming years. In the field of Deep Learning, PyTorch has rapidly become one of the most transformative frameworks. Just because of its flexibility, it has completely changed the landscape of deep learning. It is also designed to provide high speeds for the implementation of deep neural networks.

In this curation,takethiscourse.net has assembled a list of 15 best free courses on PyTorch. For all those who wish to have a skillset in PyTorch, have a look at our list and start learning.

So, let’s begin.

# Course Name University/Organization Ratings Duration
1. PyTorch Basics Course for Machine Learning IBM 25 Hours
2. Introduction to Deep Learning with PyTorch datacamp 04 Hours
3. Detecting COVID-19 with Chest X-Ray using PyTorch Coursera Project Network ★★★★★4.5 02 Hours
4. Intro to Deep Learning with PyTorch Course Facebook AI 2 Months
5. Foundations of PyTorch

Pluralsight

★★★★★4.8 03 Hours
6. PyTorch for Deep Learning with Python Bootcamp Udemy ★★★★★4.6 17 Hours
7. Deep Neural Networks with PyTorch IBM ★★★★☆4.4 31 Hours
8. PyTorch for Deep Learning and Computer Vision Udemy ★★★★★4.5 11 Hours
9. Applied Deep Learning with PyTorch Learning Tree 02 Hours
10. Building Your First PyTorch Solution Pluralsight ★★★★☆4.0 2.5 Hours
11. PyTorch Essential Training Course: Deep Learning LinkedIn Learning ★★★★★4.5 01 Hour
12. Deep Learning with Python and PyTorch Class IBM 24 Hours
13. Natural Language Processing with PyTorch LinkedIn Learning ★★★★☆4.2 01 Hour
14. Best PyTorch Courses Udemy
15. Intro to Machine Learning with PyTorch Nanodegree Program Udacity ★★★★★4.7 120 Hours
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.

Best + Free PyTorch Courses & Training Programs

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PyTorch Basics Course for Machine Learning

      • IBM via edX
      • 10,169+ already enrolled!
      • 25 Hours of effort required!

PyTorch Basics for Machine Learning

This course shall teach you the basics of PyTorch. You will learn to implement classic machine-learning algorithms in this course.

  • This course will allow you to quickly iterate various aspects of PyTorch, giving you a strong base and prerequisites, which will help you in building deep learning models.
  • The best thing about this course is its focus on PyTorch in creating and optimizing models.
  • This course is best suited for all those who have basic knowledge of deep learning and Python Libraries.

Coursera Plus Courses

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Introduction to Deep Learning with PyTorch

      • Ismail Elazi via datacamp
      • 21,753+ already enrolled!
      • 04 Hours of effort required!

Be a master in creating deep learning models by using the PyTorch library through this course.

  • This course shall teach you to use PyTorch to learn about the main concepts of neural networks. This will help you in building your own neural network for predicting digits from MNIST dataset.
  • This course will allow you to explore neural networks deeply and begin your career in this amazing field, which is the best thing about it.

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Detecting COVID-19 with Chest X-Ray using PyTorch

      • Coursera Project Network via Coursera
      • 10,635+ already enrolled!
      • ★★★★★ (322 Ratings)

Detecting COVID-19 with Chest X-Ray using PyTorch

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

This project aims to develop an image classification model which can predict Chest X-ray scans with higher accuracy.

  • The best thing about this project is that it is a hands-on practical project that focuses mainly on implementation and not on theory only.
  • By the end, you shall have developed skills in deep learning, machine learning, statistical classification, and medical imaging.
  • This project is for all those who want to have a practical implementation of neural network models alongside theory.
It is a great guided project and I simply loved it. I have learnt to use Python and PyTorch in cross validating the test results. I would highly recommend this project to all those who wish to improve their learning. (Suhaimi C, ★★★★★)

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Intro to Deep Learning with PyTorch Course

      • Facebook AI via Udacity
      • 02 Months of effort required!
      • Study Level: Intermediate

Improve your skill set and lift your viability through innovative learning.

  • In this course, you will be developing your own deep neural networks with the help of PyTorch.
  • You will not only learn the basics of deep learning but also get a practical experience with PyTorch through projects and coding exercises included in this course.
  • For all those who are involved in creating deep learning applications, this course is a must for you guys.

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Foundations of PyTorch

      • Janani Ravi via Pluralsight
      • Study Level: Beginner
      • 03 Hours of effort required!

Foundations of PyTorch

This course “Foundations of PyTorch” conceals various aspects of building deep learning models in PyTorch, neurons, and neural networks. So, enroll today to learn more about it.

  • In this course, you will mainly learn the internals of neurons and neural networks, then you will explore the training of such a model and the estimation of the best values of model parameters.
  • The best thing about this course is its ability to leverage PyTorch support for various computation graphs.
  • Once, you are done with this course, you shall have the skills to build deep learning models in PyTorch.
  • This course is for anyone who wants to harness the strength of dynamic computation graphs.

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PyTorch for Deep Learning with Python Bootcamp

      • Jose Portilla via Udemy
      • 23,485+ already enrolled!
      • ★★★★★ (3,581 Ratings)

PyTorch for Deep Learning with Python Bootcamp

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

Explore the process of creating state-of-the-art neural networks with the help of Facebook’s PyTorch deep learning library through this dynamic course.

  • In this course, you will learn the basic principles of classic machine learning. You will also learn to use PyTorch for image classification and sequencing of time series data.
  • What makes this course our choice is its focus on balancing theoretical concepts with practical hands-on projects.
I must say that it is a well-planned and well documented course. Also, the language used in this course was quite simple hence presenting a complex subject in a simpler way. The lectures were clear and consistent which made learning easier for us. (Farzad H, ★★★★★)

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Deep Neural Networks with PyTorch

      • IBM via Coursera
      • 39,775+ already enrolled!
      • ★★★★☆ (1,240 Ratings)

Deep Neural Networks with PyTorch

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Good
★★★★☆
Good
★★★★☆
Good
★★★★☆
Good
★★★★☆

This course “Deep Neural Networks with PyTorch” is all about developing deep learning models by using PyTorch.

  • In this course, you will get started with PyTorch tensors and the automatic differentiation package. Then you will move on to the basic concepts like linear regression, and logistic SoftMax regression followed by feedforward deep neural networks.
  • By the end of this course, you shall have achieved some major learning outcomes regarding python libraries and deep neural networks.
I would recommend this course to everyone who wants to build deep learning models. It is an excellent course in this regard. I am pretty much satisfied with this course as I was able to do the coding of models easily using PyTorch at the completion of the course. (SY, ★★★★★)

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PyTorch for Deep Learning and Computer Vision

      • Rayan Slim via Udemy
      • 11,393+ already enrolled!
      • ★★★★★ (1,816 Ratings)

PyTorch for Deep Learning and Computer Vision

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

This course is all about building highly sophisticated deep-learning applications by using PyTorch.

  • This course intends to take you from the absolute basics to building complex models using advanced imagery and computer vision.
  • The best thing about this course is that the projects in it will surely impress senior developers and shall ensure learners’ entry to any project or company.
  • This course targets all those who are interested in computer vision and deep learning. It is also for those who look for a transition in the world of artificial intelligence. Entrepreneurs and all skill levels are also welcome.
I must say that I feel very luck to have chosen this course. The organization of content, step by step explanation of skills and exercises included were all excellent. For a beginner like me it is a very good course to get started with deep learning and computer vision. (Muhammad Imran K, ★★★★★)

Learn Most In-demand Skills

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Applied Deep Learning with PyTorch

      • via Learning Tree
      • Study Level: Intermediate
      • 02 days of effort required!

Start your journey in PyTorch with the basics of deep learning and their different applications through “Applied Deep Learning with PyTorch”.

  • This course will show you how to perform trending tasks like image classification and processing of natural language by comprehending the various architectures of neural networks.
  • The best thing about this course is its focus on detecting different data problems and applying deep learning to solve them.
  • This course aims to serve data analysts and scientists, developers, and anyone who wishes to explore advanced algorithms with PyTorch.

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Building Your First PyTorch Solution

      • Janani Ravi via Pluralsight
      • Study Level: Beginner
      • 2.5 Hours of effort required!

Building Your First PyTorch Solution

This course gets you going with regression and classification models alongside installing PyTorch on various platforms.

  • You will learn to build your first PyTorch solution and how to leverage GPU support. You will also learn how PyTorch optimizers can make this whole process seamless.
  • The best thing about this course is its ability to leverage the models to build and customize different abstractions of PyTorch.
  • This course is for anyone who wants to build their own “PyTorch Solution”.

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PyTorch Essential Training Course: Deep Learning

      • Jonathan Fernandes via LinkedIn Learning
      • 26,953+ already enrolled!
      • ★★★★★ (223 Ratings)

PyTorch Essential Training - Deep Learning

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Good
★★★★☆
Good
★★★★☆
Good
★★★★☆
Good
★★★★☆

PyTorch has gained admiration from industrial leaders due to its integration with Python and top cloud platforms. This training course will give you all the essential skills on PyTorch, which you must have in your artificial intelligence tool kit.

  • You shall begin this course by diving into the basics of deep learning with the help of PyTorch. Then you will work on an image recognition model in which you will be shown how the various components fit and work.
  • At the end of this course, the instructor shall conclude by discussing various future project ideas of its learners which is the best thing about this course.
It is a very good course, and the instructor has done a great job in finding the real essence of each concept and then explaining them with clear examples. A great teacher and a great course. (Tod Nestor, ★★★★★)

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Deep Learning with Python and PyTorch Class

      • IBM via edX
      • 44,347+ already enrolled!
      • 24 Hours of effort required!

This course is a part of a two-part main course on “how to develop Deep Learning models using PyTorch”.

  • There are seven modules in this course. In module 1 you will learn about the classification and then you’ll get to know about neural networks in module 2. You will learn deep networks in module 3, computer vision networks in modules 4 and 5, and then concepts of dimensionality reduction and autoencoders in module 6. Finally, you’ll conclude this course by doing independent projects in module 7.
  • The best thing about this course is that it allows you to apply your knowledge about machine learning and neural networks in building your own models.
  • This course targets all those who want to learn about PyTorch with deep learning.

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Natural Language Processing with PyTorch

      • Zhongyu Pan via LinkedIn Learning
      • 2,038+ already enrolled!
      • ★★★★☆ (57 Ratings)

Natural Language Processing with PyTorch

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Good
★★★★☆
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

Learn about the popular deep learning tool that is used by tech giants such as Open Al and Microsoft.

  • In this course, you will be taught the basics of PyTorch in natural language processing(NLP). You will also learn about hyperparameters and constructing model layers.
  • By the end of this course, you shall have developed skills in Natural Language Processing(NLP) and PyTorch.
It was an exciting course and the instructor kept us engaged throughout. (John Haggerty, ★★★★★)

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Best PyTorch Courses

      • Shadé Zahrai via LinkedIn Learning
      • 53,078+ already enrolled!
      • ★★★★★ (706 Ratings)

 

Udemy offers more courses about the PyTorch language. There are numerous courses available at Udemy about this flexible and versatile language. If you want to learn deeply PyTorch in deep learning then at Udemy, you can take this course “A deep understanding of deep learning with Python”. Learn about PyTorch through a scientific approach with multiple examples in this course. Similarly, if you are eager to learn about creating state-of-the-art neural networks then this course “PyTorch for deep learning with Python Bootcamp” is right here for you. There are more courses like reinforcement learning with PyTorch, deep learning, modern computer vision, and much more all covering the benefits and uses of PyTorch in various areas. So, waste no more time, have a look at this huge list of courses at Udemy and learn about PyTorch according to your requirements.

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Intro to Machine Learning with PyTorch Nanodegree Program

      • via Udacity
      • ★★★★★ (444 Ratings)
      • 120 Hours of effort required!

Optimize your knowledge in PyTorch programming through this course.

  • You will learn about the foundational machine-learning techniques in this course. From data manipulation to learning algorithms, this course aims to maximize your learning by giving you practical experience at every step of learning.
  • The best thing about this course is its simplicity to learn. Practical experience which is given to students in this course at every stage makes learning quite easier.
  • This program intends to serve students who have some experience in Python and want to learn more about machine learning.

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