Pytorch Courses
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).
Popular Pytorch Courses and Certifications
Status: NewDeepLearning.AI
Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Applied Machine Learning, Artificial Neural Networks, Model Evaluation, Software Visualization, Computer Vision, Data Preprocessing, Natural Language Processing, Machine Learning
DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Data Quality, Image Analysis, Data Pipelines, Applied Machine Learning, Data Preprocessing, Model Evaluation, Machine Learning
Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing
Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Machine Learning Methods, Image Analysis, Data Preprocessing, Model Deployment
Skills you'll gain: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Applied Machine Learning, Vision Transformer (ViT), Image Analysis, Machine Learning, Computer Vision, Artificial Neural Networks, Artificial Intelligence, Unsupervised Learning, Python Programming, Embeddings, Data Preprocessing
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Classification Algorithms, Model Evaluation
What brings you to Coursera today?
Status: Top AI ProgramSkills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
DeepLearning.AI
Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Generative AI, Deep Learning, Transfer Learning, MLOps (Machine Learning Operations), Convolutional Neural Networks, Software Visualization, Model Evaluation, Computer Vision
Status: Top AI ProgramSkills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Retrieval-Augmented Generation, Transfer Learning, Model Evaluation, Computer Vision, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), Supervised Learning, Generative AI Agents, Vector Databases, Machine Learning, Python Programming, Data Science
Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Python Programming
Status: Top AI ProgramSkills you'll gain: Prompt Engineering, Prompt Patterns, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Supervised Learning, Generative AI Agents, Model Evaluation, Responsible AI, Vector Databases, Data Import/Export
Coursera
Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning
In summary, here are 10 of our most popular PyTorch courses
- PyTorch for Deep Learning:Â DeepLearning.AI
- PyTorch: Fundamentals:Â DeepLearning.AI
- Introduction to Neural Networks and PyTorch:Â IBM
- IBM Deep Learning with PyTorch, Keras and Tensorflow:Â IBM
- PyTorch Ultimate 2024 - From Basics to Cutting-Edge:Â Packt
- Deep Learning with PyTorch:Â IBM
- Machine Learning with Scikit-learn, PyTorch & Hugging Face:Â Coursera
- PyTorch: Advanced Architectures and Deployment:Â DeepLearning.AI
- IBM AI Engineering:Â IBM
- Deep Learning with PyTorch : Image Segmentation :Â Coursera
