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
Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Artificial Neural Networks, Model Training, Machine Learning, Python Programming, Algorithms, Model Evaluation
Skills you'll gain: Data Preprocessing, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Python Programming, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Data Presentation, Machine Learning, Model Optimization, Matplotlib, Analysis, Statistical Analysis
Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Dimensionality Reduction, Model Optimization, Embeddings, Model Evaluation, Model Training, Model Deployment, Flask (Web Framework)
Skills you'll gain: Plotly, PyTorch (Machine Learning Library), NumPy, Matplotlib, Pandas (Python Package), Plot (Graphics), Interactive Data Visualization, Machine Learning Methods, Python Programming, Applied Machine Learning, Scatter Plots, Data Manipulation, Deep Learning, Linear Algebra, Graphing
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Artificial Neural Networks, Deep Learning, Model Training
Skills you'll gain: Fine-tuning, PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing
University of Glasgow
Skills you'll gain: ChatGPT, Generative AI, Large Language Modeling, Generative Model Architectures, LLM Application, Natural Language Processing, Responsible AI, Data Ethics, Model Evaluation, Model Training
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Development Environment, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Generative Model Architectures, Feature Engineering, Model Training, Convolutional Neural Networks, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Natural Language Processing, Network Model, Vision Transformer (ViT), Computer Vision, Jupyter, Model Evaluation, Model Based Systems Engineering
Skills you'll gain: PyTorch (Machine Learning Library), Development Environment, Deep Learning, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Jupyter, Machine Learning, Machine Learning Algorithms, Learning Theory, Data Science
Skills you'll gain: Generative Model Architectures, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Fine-tuning, Generative AI, Model Optimization, Generative Adversarial Networks (GANs), Vision Transformer (ViT), MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Cloud Infrastructure, AI Workflows, Large Language Modeling, Microsoft Azure, Model Training, Hugging Face, Autoencoders, Computer Vision
Microsoft
Skills you'll gain: Model Training, Feature Engineering, Model Evaluation, Model Optimization, Databricks, MLOps (Machine Learning Operations), Deep Learning, PyTorch (Machine Learning Library), Model Deployment, Redis, Embeddings, Data Science, Data Pipelines, Real Time Data, Data Analysis, Computer Science, Software Development
