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).

Coursera
Skills you'll gain: Unit Testing, Test Driven Development (TDD), Software Testing, Scalability, Dashboard, MLOps (Machine Learning Operations), Testability, Kubernetes, Version Control, Model Deployment, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Tensorflow, CI/CD, Containerization, Docker (Software), Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming
Beginner · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis
Intermediate · Specialization · 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

Coursera
Skills you'll gain: Systems Design, MLOps (Machine Learning Operations), Transfer Learning, Deep Learning, Model Evaluation, Data Preprocessing, Applied Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Data Pipelines, Software Engineering, Supervised Learning, Predictive Modeling, Python Programming, Performance Metric, Data Quality, Debugging, Git (Version Control System), Data Validation, Statistical Analysis
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Data Storytelling, Software Quality Assurance, Open Web Application Security Project (OWASP), Text Mining, Database Design, Agile Software Development, Software Development Life Cycle, Unsupervised Learning, Data Governance, Interactive Data Visualization, Software Architecture, Plotly, Cybersecurity, Classification Algorithms, PyTorch (Machine Learning Library), Statistical Hypothesis Testing, Java, Depreciation, Probability & Statistics, Cash Flows
Earn a degree
Degree · 1 - 4 Years

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

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Software Versioning, Release Management, Continuous Delivery, PyTorch (Machine Learning Library), Performance Improvement, Software Testing
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Cross Platform Development, PyTorch (Machine Learning Library), Cloud Deployment, Applied Machine Learning, Application Performance Management, Development Environment, Hardware Architecture
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, PySpark, Generative AI, Feature Engineering, Deep Learning, Text Mining, Natural Language Processing, Transfer Learning, Unstructured Data, Big Data, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Machine Learning, Distributed Computing, Model Evaluation, Unsupervised Learning, Scalability, Supervised Learning
Mixed · Course · 1 - 3 Months

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