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: 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

Arizona State University
Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis
Beginner · 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), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Transfer Learning, Multimodal Prompts, Model Evaluation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Algorithms, Embeddings, Model Deployment, Real Time Data, Visualization (Computer Graphics), Applied Machine Learning, Ethical Standards And Conduct, Root Cause Analysis, Deep Learning, Systems Design
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Preprocessing, Machine Learning, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, MLOps (Machine Learning Operations), Large Language Modeling, Keras (Neural Network Library)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Strategic Decision-Making, Data Presentation, Predictive Modeling, Statistical Hypothesis Testing, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Supervised Learning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Predictive Modeling, Tensorflow, Statistical Machine Learning, MLOps (Machine Learning Operations), Computer Vision, Applied Machine Learning, Performance Testing, Transfer Learning, Keras (Neural Network Library), Performance Tuning, Benchmarking, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Failure Analysis, Deep Learning, PyTorch (Machine Learning Library), Supervised Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, API Design, Multimodal Prompts, Data Preprocessing, Vision Transformer (ViT), Data Processing, Solution Architecture, Kubernetes, Apache Airflow, Transfer Learning, PyTorch (Machine Learning Library), Data Pipelines, CI/CD, Model Evaluation, Deep Learning, Natural Language Processing, Computer Vision, Docker (Software), Ethical Standards And Conduct
Intermediate · Professional Certificate · 3 - 6 Months

Coursera
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, Tensorflow, Model Evaluation, Apache Airflow, Systems Design, Cloud Computing Architecture, Transfer Learning, Unit Testing, Cloud Deployment, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning, Python Programming, Data Validation
Intermediate · Specialization · 1 - 3 Months