PyTorch Courses and Certifications

Coursera

Optimize PyTorch: Build and Accelerate Layers

Build custom differentiable PyTorch layers and accelerate training by diagnosing bottlenecks and applying mixed precision and gradient accumulation to raise throughput.

• Coursera
• 2 hours 7 minutes
• Self-Paced
• Paid Course

Packt

Accelerate Model Training with PyTorch 2.X

Speed up deep learning training in PyTorch 2.X: compile models, apply mixed precision and pruning, build efficient data pipelines, and distribute across CPUs, GPUs, and machines.

• Coursera
• 11 weeks, 1 hour a week
• Self-Paced
• Paid Course

Aladdin Persson

PyTorch Tutorials - Complete Deep Learning Course from Basics to Advanced Applications

Master PyTorch through comprehensive tutorials covering neural networks, CNNs, RNNs, GANs, transformers, computer vision, NLP, and advanced techniques from basic setup to complex implementations.

• YouTube
• 1 day 41 minutes
• Self-Paced
• Free Video

Learn to create, train, and test neural networks in PyTorch while using loss functions and optimizers to predict real-world data.

• Codecademy
• 3 hours
• Self-Paced
• Free Trial Available

Deep Learning with PyTorch Live Course

2 ratings

Build deep learning models in PyTorch: tensors and gradient descent, logistic regression on images, GPU training, CNN image classification, ResNet with data augmentation, and GANs.

• freeCodeCamp
• 12 hours
• Self-Paced
• Free Video

Deep Learning with PyTorch: Zero to GANs

1 rating

"Deep Learning with PyTorch: Zero to GANs" is a beginner-friendly online course offering a practical and coding-focused introduction to deep learning using the PyTorch framework. Enroll now to start learning.

• Jovian
• 24 weeks, 2-3 hours a week
• Self-Paced
• Free Online Course

Build binary and multiclass neural-network classifiers in PyTorch, from data preparation through model evaluation.

• Codecademy
• 3 hours
• Self-Paced
• Free Trial Available

PyTorch Basics for Machine Learning

25 ratings at edX

This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch create

• edX
• 5 weeks, 4-5 hours a week
• Self-Paced
• Free Online Course (Audit)

Deep Learning with Python and PyTorch.

16 ratings at edX

This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch.

• edX
• 6 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

PyTorch and Deep Learning for Decision Makers

Learn how PyTorch, a deep learning framework, can be used to automate and optimize processes through the development and deployment of state-of-the-art AI applications. The course will also help you u

• edX
• 7 weeks, 1-2 hours a week
• Self-Paced
• Free Certificate

Career Certificate

Build Deep Learning Models with PyTorch

Build neural networks for tabular data, text, and images with PyTorch through classification, text generation, and a portfolio project.

• Codecademy
• 17 hours
• Self-Paced
• Free Trial Available

Career Certificate

Engineer Neural Networks with PyTorch and Transformers

Build PyTorch neural networks and fine-tune transformer models with LoRA and QLoRA for an end-to-end intent-classification project.

• Codecademy
• 11 hours
• Self-Paced
• Free Trial Available

Comprehensive Introduction to PyTorch

Build practical PyTorch skills for deep learning, from tensor operations to neural network training and optimization. Apply these concepts through hands-on modeling with real datasets, including multi

• edX
• 4 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

PyTorch for Deep Learning - Full Course / Tutorial

In this course, you will learn how to build deep learning models with PyTorch and Python. The course makes PyTorch a bit more approachable for people starting out with deep learning and neural networks.

• freeCodeCamp
• 10 hours
• Self-Paced
• Free Video

Applied Deep Learning with PyTorch - Full Course

In this course you will learn the key concepts behind deep learning and how to apply the concepts to a real-life project using PyTorch and Python.

• freeCodeCamp
• 6 hours
• Self-Paced
• Free Video