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: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Model Optimization, Reinforcement Learning, Data Pipelines, Model Training, Artificial Intelligence, Responsible AI
★ 4.6 (1.1K) · Intermediate · Specialization · 3 - 6 Months

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

Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Image Analysis, Model Training, Deep Learning, Python Programming
★ 4.4 (233) · Intermediate · Guided Project · Less Than 2 Hours

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

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

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

Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Convolutional Neural Networks
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Model Training, Computer Vision
★ 4.7 (49) · Advanced · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Fine-tuning, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Training, Transfer Learning, Generative AI, Natural Language Processing, Hugging Face, Data Preprocessing, Model Optimization, Data Processing, Deep Learning, Machine Learning, Machine Learning Algorithms
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, LLM Application, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Model Training, Recurrent Neural Networks (RNNs)
★ 4.7 (473) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Fine-tuning, Large Language Modeling, Model Optimization, Prompt Engineering, Model Training, PyTorch (Machine Learning Library)
★ 4.5 (120) · Intermediate · Course · 1 - 4 Weeks

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