PyTorch Courses and Certifications

PyTorch: Deep Learning and Artificial Intelligence

2651 ratings at Udemy

Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!

• Udemy
• 1 day 24 minutes
• Self-Paced
• Paid Course

PyTorch for Deep Learning and Computer Vision

2235 ratings at Udemy

Build Highly Sophisticated Deep Learning and Computer Vision Applications with PyTorch

• Udemy
• 14 hours 14 minutes
• Self-Paced
• Paid Course

Practical Deep Learning with PyTorch

1718 ratings at Udemy

Accelerate your deep learning with PyTorch covering all the fundamentals of deep learning with a python-first framework.

• Udemy
• 6 hours 27 minutes
• Self-Paced
• Paid Course

Deep Learning with PyTorch

107 ratings at Coursera

Build and train neural networks in PyTorch: logistic and softmax regression, shallow and deep nets with dropout and batch norm, and CNNs with ResNet18 transfer learning.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

PyTorch: Fundamentals

107 ratings at Coursera

Build and train neural networks in PyTorch: work with tensors, Datasets and DataLoaders, custom transform pipelines, GPU acceleration, and CNNs with dropout and weight decay.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Packt Career Certificate

PyTorch Ultimate 2024 - From Basics to Cutting-Edge

105 ratings at Coursera

Build and train neural networks in PyTorch: set up your environment, master tensors, and apply CNNs, RNNs, and GANs through practical coding exercises.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Packt

Foundations and Core Concepts of PyTorch

62 ratings at Coursera

Build neural networks from scratch and model in PyTorch: tensors, activation and loss functions, backpropagation, train-test evaluation, dataloaders, linear regression, and hyperparameter tuning.

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

Coursera

Deep Learning with PyTorch : Siamese Network

49 ratings at Coursera

Build a Siamese Network in PyTorch: assemble anchor, positive, and negative image sets, train with triplet loss, and learn feature embeddings for person re-identification.

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

Packt

Advanced PyTorch Techniques and Applications

34 ratings at Coursera

Build recommender systems, autoencoders, GANs, graph neural networks and Vision Transformers in PyTorch, then streamline training with PyTorch Lightning and deploy models via Flask and Google Cloud.

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

PyTorch: Advanced Architectures and Deployment

21 ratings at Coursera

Build custom PyTorch architectures — Siamese Networks, ResNet, DenseNet, Transformers, diffusion models — then interpret them with Grad-CAM and deploy via ONNX, MLflow, pruning, and quantization.

• Coursera
• 4 weeks, 8 hours a week
• Self-Paced
• Paid Course

Coursera

Deep Learning with PyTorch : GradCAM

21 ratings at Coursera

Implement Grad-CAM in PyTorch: write a custom image-classification dataset class, build a CNN, code train and evaluation loops, and plot class-specific localization heatmaps.

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

PyTorch: Techniques and Ecosystem Tools

20 ratings at Coursera

Optimize PyTorch models: tune hyperparameters with Optuna, profile training, augment images with TorchVision, and fine-tune Hugging Face models in efficient Lightning pipelines.

• Coursera
• 4 weeks, 8 hours a week
• Self-Paced
• Paid Course

Packt

Building and Training Neural Networks with PyTorch

15 ratings at Coursera

Build and train neural networks in PyTorch: image and audio CNNs, YOLO object detection, neural style transfer, transfer learning, and RNN/LSTM sequence models.

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

Coursera

Classify Radio Signals with PyTorch

13 ratings at Coursera

Fine-tune a pretrained CNN in PyTorch to classify radio signal spectrogram images into Squiggle, Noise and Narrowband classes, applying spectrogram augmentation and writing train/eval loops.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

Coursera

Deep Learning with PyTorch

Build deep learning models in PyTorch: implement feedforward networks, CNNs for image classification, RNNs and LSTMs for sequences, plus regularization, transfer learning, and training optimizations.

• Coursera
• 4 weeks, 7 hours a week
• Self-Paced
• Paid Course