PyTorch Courses and Certifications

Introduction to Deep Learning with PyTorch

43 ratings at DataCamp

Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Intermediate Deep Learning with PyTorch

21 ratings at DataCamp

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Deep Learning for Images with PyTorch

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Deep Learning for Text with PyTorch

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Credential

Comprehensive Introduction to PyTorch

209 ratings at CodeSignal

Master PyTorch fundamentals through hands-on exercises, progressing from tensor basics to advanced neural networks and model optimization techniques using real-world datasets like wine classification.

• CodeSignal
• 11 hours
• Self-Paced
• Free Certificate
• 4 courses

Introduction to PyTorch Tensors

Master PyTorch tensors through hands-on practice, from basic operations to advanced manipulations. Build a strong foundation in tensor operations, reshaping, and neural network processing for deep learning applications.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Building a Neural Network in PyTorch

Master PyTorch neural networks from scratch - build, train, and evaluate models through hands-on examples covering network architecture, sequential models, training loops, and performance metrics.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Modeling the Wine Dataset with PyTorch

Master PyTorch by building a wine classification model, from data preprocessing through model evaluation, visualization, and deployment - all using practical hands-on techniques.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

PyTorch Techniques for Model Optimization

Master advanced PyTorch optimization techniques including regularization, dropout, batch normalization, and learning rate scheduling to enhance model performance and prevent overfitting.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Improving Neural Networks with PyTorch

Master advanced PyTorch techniques like dropout, early stopping, and batch normalization to transform weak neural networks into robust, high-performing models through hands-on implementation.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Credential

RNNs for Time Series with PyTorch

Master time series forecasting using PyTorch by building RNNs, LSTMs, and GRUs for univariate and multivariate data, progressing to advanced hybrid models and attention mechanisms.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate
• 4 courses

Introduction to Neural Networks and PyTorch

1901 ratings at Coursera

Learn to build and train deep neural networks using PyTorch, covering tensors, linear regression, logistic regression, CNNs, and transfer learning for practical AI applications.

• Coursera
• 18 hours 4 minutes
• Self-Paced
• Paid Course

Kaggle;  Amazon Web Services;  Amazon Credential

Introduction to Machine Learning with Pytorch

5 ratings

Comprehensive introduction to machine learning using PyTorch, covering supervised and unsupervised techniques with hands-on projects for real-world problem-solving and model building.

• Udacity
• 49 hours
• Self-Paced
• Paid Course

PyTorch for Deep Learning Bootcamp

5942 ratings at Udemy

Learn PyTorch. Become a Deep Learning Engineer. Get Hired.

• Udemy
• 2 days 4 hours 13 minutes
• Self-Paced
• Paid Course