6 Best Pytorch Courses to Learn Online in 2022

Are you interested in learning Pytorch? Well, this is the right place for you, where you will find the best high-quality training and courses for Pytorch.

Our experts have reviewed a lot of courses and classes in order to pick this list of the Best Pytorch Online Training, Courses for 2022. These resources are great to enhance your Pytorch knowledge and skills and potentially earn a certification to boost your resume.

How We Pick the Best Online Courses to learn Pytorch in 2022

We explored the top tier Online training and courses platforms like Udemy, Coursera, LinkedIn Learning, Pluralsight, Udacity, and more to find out which:

* Courses are the most comprehensive.

* Courses and classes that are getting the most positive reviews and ratings.

* Courses that have the largest number of students.

We Also checked the course instructor’s experiences and reviews, course duration, and other criteria. Then, after careful examination, we came up with this top list of Pytorch courses online.

The following best online courses and trainings will help you to learn Pytorch from the best instructors in the field, this can be clearly seen from the student’s reviews.

The list contains both free and paid best Pytorch courses. some of them will provide you a completion certificate, which can be published on your LinkedIn profile and on your resume.

1- PyTorch for Deep Learning with Python Bootcamp

Author: Jose Portilla

Description: Facebook’s PyTorch Deep Learning library can be used to create state-of-the-art neural networks. The best online course for learning about Deep Learning is here. PyTorch is an open-source deep learning platform that provides a seamless path from research to production deployment. It is one of the most popular deep learning frameworks. Popular libraries and packages can be used to write neural network layers in Python.
PyTorch is extended by a rich library of tools and libraries. You can learn how to apply the concepts in the course to your own data sets by taking this course. You will get access to carefully laid out notebooks that explain concepts in an easy-to-understand manner, including both code and explanations side by side, when you enroll in this course. You will get access to the slides that explain the theory.

Summary

Platform: Udemy
Language: English
Duration: 17 h 0m
3178 reviews

4.6

2- PyTorch for Deep Learning and Computer Vision

Author: Amer Sharaf

Description: PyTorch can be used to build computer vision applications. One of the most significant frameworks in the field of Deep Learning is PyTorch. PyTorch has changed the landscape in the field of deep learning due to its flexibility and how easy it is to use. Some of the highest salaries in the developing world can be found in Deep Learning jobs.
This course will teach you how to build state-of-the-art Deep Learning and Computer Vision applications with PyTorch. The course is fun and exciting 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.

Summary

Platform: Udemy
Language: English
Duration: 14 h 14m
1704 reviews

4.6

3- PyTorch: Deep Learning and Artificial Intelligence

Author: Lazy Programmer Team

Description: Neural networks are used for computer vision, time series forecasting, GANs, and more. PyTorch is about deep learning and artificial intelligence. . PyTorch is the library of choice for professionals and researchers around the globe for deep learning and artificial intelligence.

Summary

Platform: Udemy
Language: English
Duration: 23 h 55m
1083 reviews

4.6

4- Modern Reinforcement Learning: Deep Q Learning in PyTorch

Author: Phil Tabor

Description: Research papers can be turned into agents that beat classic Atari games. You will learn a framework for reading and implementing deep reinforcement learning research papers in this complete deep reinforcement learning course.
The original papers that introduced Deep Q learning, Double Deep Q learning and Dueling Deep Q learning were read by you. You will learn how to implement these in pythonic and concise PyTorch code, that can be extended to include any future deep Q learning algorithms. They will be used to solve environments from the Atari library, including Bankheist.
You will learn how to modify the Openai Gym’s Atari library to meet the specifications of the original Deep Q Learning papers. You will learn how to do it.

Summary

Platform: Udemy
Language: English
Duration: 5 h 41m
764 reviews

4.6

5- Reinforcement Learning with Pytorch

Author: Atamai AI Team

Description: Python, Pytorch, and OpenAI Gym are used to apply Reinforcement Learning and Artificial Intelligence. There is an update. The installation instructions have been updated and verified to work with Pytorch 1.6.

Summary

Platform: Udemy
Language: English
Duration: 7 h 14m
371 reviews

4.7

6- PyTorch Essential Training: Deep Learning

Author: Jonathan Fernandes

Description: PyTorch is one of the most popular deep learning frameworks around, as well as a must-have skill in your artificial intelligence tool kit. It’s gained admiration from industry leaders due to its deep integration with Python, its integration with top cloud platforms, and its computational graphs that can be defined on the fly.
Jonathan is going to teach you the basics of deep learning using PyTorch. He shows how the different components fit and work together, starting with a working image recognition model.