Level up yourPyTorch expertise with these carefully curated courses. Whether you are just starting out or looking to advance your career, these courses will help you build the skills you need to succeed.
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Start matchingPyTorch courses are plentiful and varied. Here are the top 10 PyTorch courses to consider in 2025.
This is a course to learn deep learning using PyTorch, a machine learning framework that is rapidly gaining popularity. You will learn image recognition using CNN, time series data processing using RNN, and building AI applications. Google Colabolatory is used as the development environment.
Available on udemy.com
Let's Build Artificial, Convolutional and Recurrent Neural Networks from AI Algorithms with Facebook Pytorch Library!
Available on udemy.com
This course Introduction to PyTorch will cover the basic Concepts of Python Frameworks which includes What is PyTorch?, Features of PyTorch, Installation and Configuration of PyTorch etc.By the end of this Course you will have a clear understanding on why choose PyTorch for a great career in Dee…
Available on simplilearn.com
Welcome to the best online course for learning about Deep Learning with Python and PyTorch! PyTorch is an open source deep learning platform that provides a seamless path from research prototyping to production deployment. It is rapidly becoming one of the most popular deep learning frameworks f…
Available on udemy.com
From Neural Networks to BERT and T5Rating
Available on udemy.com
The global deep learning market is set to grow 23% annually to 2030 (Grand View Research). This IBM Deep Learning with PyTorch, Keras and TensorFlow Professional Certificate builds the job-ready skills and practical experience AI techies need to catch the eye of employers. Deep learning is a bra…
Available on coursera.org
PyTorch Framework Practical
Available on udemy.com
Understand various GANs from DCGAN to Self-Attention
Available on udemy.com
This course is the first part in a two part course and will teach you the fundamentals of Pytorch while providing the necessary prerequisites you need before you build deep learning models. We will start off with PyTorch's tensors in one dimension and two dimensions , you will learn the tensor t…
Available on edx.org
Build powerful machine learning models to make predictions and uncover hidden patterns. Start with foundational supervised learning algorithms, including linear regression, decision trees, naive Bayes, support vector machines (SVMs), and perceptrons, then evaluate your model performance with a v…
Available on udacity.com
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