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: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
Intermediate · Specialization · 3 - 6 Months

University of the Arts London
Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Creativity, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Generative AI, Artificial Neural Networks, Responsible AI, Creative Problem-Solving, Creative Design, Machine Learning Methods, Data Ethics, Deep Learning, Critical Thinking
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Large Language Modeling, Natural Language Processing, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, CI/CD, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Model Deployment, Metadata Management, AI Workflows, AI Orchestration, PyTorch (Machine Learning Library), Containerization
Advanced · Course · 1 - 3 Months

Skills you'll gain: Amazon Elastic Compute Cloud, Amazon Web Services, Model Deployment, Tensorflow, Image Analysis, Convolutional Neural Networks, Feature Engineering, Data Preprocessing, Deep Learning, Applied Machine Learning, Application Development, Recurrent Neural Networks (RNNs), Model Evaluation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
Intermediate · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Embeddings, Deep Learning, Applied Machine Learning, Markov Model
Mixed · Course · 1 - 3 Months

Skills you'll gain: Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Network Architecture, Matplotlib, Jupyter, NumPy
Advanced · Course · 3 - 6 Months

Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Keras (Neural Network Library), Model Evaluation, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Applied Machine Learning, Machine Learning, Python Programming, Matplotlib, Data Science
Intermediate · Guided Project · Less Than 2 Hours