PyTorch courses can help you learn neural network design, model training, and deep learning techniques. You can build skills in data preprocessing, hyperparameter tuning, and implementing convolutional and recurrent networks. Many courses introduce tools like TensorBoard for visualization and Jupyter Notebooks for interactive coding, showcasing how these skills are applied in projects involving image recognition, natural language processing, and other areas of artificial intelligence (AI).

Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Computer Vision, Model Evaluation, Data Preprocessing, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
Advanced · Guided Project · Less Than 2 Hours

Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Transfer Learning, PyTorch (Machine Learning Library), Performance Tuning, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Applied Machine Learning, Model Evaluation, Deep Learning
Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Performance Analysis, Artificial Neural Networks, Resource Utilization
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Convolutional Neural Networks, Digital Signal Processing, Image Analysis, Classification Algorithms, Model Evaluation, Deep Learning, Computer Vision, Telecommunications
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Data Preprocessing, PyTorch (Machine Learning Library), Transfer Learning, Model Deployment, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Data Preprocessing, Model Deployment, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Deep Learning, Unsupervised Learning, Embeddings, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Flask (Web Framework)
Intermediate · Course · 1 - 3 Months