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, Fine-tuning, Model Training, Convolutional Neural Networks, Deep Learning, Image Analysis, Computer Vision, Model Evaluation, Data Preprocessing, Classification Algorithms, Data Transformation
★ 3.9 (60) · Beginner · Guided Project · Less Than 2 Hours

Pearson
Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Tensorflow, LLM Application, Transfer Learning, Computer Vision, Fine-tuning, Responsible AI, Generative Model Architectures, Model Training, Natural Language Processing, Embeddings, Artificial Neural Networks
Intermediate · Specialization · 1 - 4 Weeks

Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Training, Distributed Computing, Data Pipelines, Performance Tuning, Deep Learning, AI Workflows, Scalability, LLM Application, Memory Management, Hardware Architecture, Machine Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Convolutional Neural Networks, Transfer Learning, Image Analysis, Predictive Modeling, Deep Learning, Radiology, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing, Data Transformation
★ 4.5 (340) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Model Training, Applied Machine Learning, Model Optimization, Data Preprocessing
★ 4.5 (147) · Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Model Optimization, Model Evaluation, Large Language Modeling, Data Preprocessing, Model Training, Fine-tuning, Data Cleansing, PyTorch (Machine Learning Library), Transfer Learning, Deep Learning, Natural Language Processing, Exploratory Data Analysis, Test Data, Machine Learning
★ 4.4 (398) · Intermediate · Guided Project · Less Than 2 Hours

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

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Deep Learning, Generative Model Architectures, Graph Theory, Dimensionality Reduction, Network Model, Unsupervised Learning, Model Optimization, Embeddings, Artificial Neural Networks, Machine Learning Methods, Supervised Learning, Model Evaluation, Model Training, Model Deployment, Flask (Web Framework)
★ 4.5 (27) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Fine-tuning, Tensorflow, Keras (Neural Network Library), Model Training, Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines
★ 4.6 (212) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, OpenAI API, Fine-tuning, Model Training, Data Preprocessing, OpenAI, Large Language Modeling, Real Time Data, Data Processing, LLM Application, Data Manipulation, Generative AI, Python Programming, Customer Analysis, Machine Learning, Customer Complaint Resolution
★ 4.1 (12) · Intermediate · Guided Project · Less Than 2 Hours