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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


  • C

    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Advanced Prompt Engineering and Memory Management

    Skills you'll gain: Retrieval-Augmented Generation, Prompt Patterns, Token Optimization, Memory Management, Context Management, Document Management, Embeddings, User Interface (UI), Vector Databases, Debugging

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    ML Production Systems

    Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Kubernetes, Docker (Software), Containerization, Test Driven Development (TDD), Application Deployment, Continuous Integration, Software Testing, Model Training, CI/CD, Scalability, Scikit Learn (Machine Learning Library), Tensorflow, PyTorch (Machine Learning Library), Performance Tuning, Python Programming, Software Engineering, Git (Version Control System)

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Python Programming and Data Science Foundations for AI

    Skills you'll gain: Object Oriented Programming (OOP), Statistical Machine Learning, Machine Learning Methods, Plot (Graphics), Data Visualization, Seaborn, Flask (Web Framework), Web Development, Computer Programming, Artificial Intelligence and Machine Learning (AI/ML), Programming Principles, Web Applications, Pandas (Python Package), Probability & Statistics, Application Development, Data Manipulation, Data Structures, User Interface (UI)

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    YOLO-NAS + v8 Full-Stack Computer Vision Course

    Skills you'll gain: Computer Vision, Mobile Development, Model Training, Mobile Development Tools, Fine-tuning, Model Deployment, Model Optimization, PyTorch (Machine Learning Library), Flask (Web Framework), Tensorflow, Application Deployment, AI Integrations, Cloud Deployment, Data Preprocessing, Development Environment, User Interface (UI) Design

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Design and Build Custom Neural Networks

    Skills you'll gain: Network Architecture, Model Optimization, Artificial Neural Networks, Model Training, Performance Testing, Deep Learning, Vision Transformer (ViT)

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Neural Models and Machine Translation

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Model Training, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Generative Model Architectures, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    Intermediate · Course · 1 - 3 Months

  • P

    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Model Training, Time Series Analysis and Forecasting, Generative Model Architectures, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • A

    Alberta Machine Intelligence Institute

    Building and Deploying Generative AI Models

    Skills you'll gain: Generative AI Agents, Generative AI, Generative Model Architectures, Agentic systems, LLM Application, Agentic Workflows, LangChain, AI Workflows, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Model Training, Google Cloud Platform, PyTorch (Machine Learning Library), System Monitoring, Deep Learning, Model Optimization, Fine-tuning, Model Evaluation, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning, NLP, and AI Applications

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Fine-tuning, Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Model Training

    Advanced · Course · 1 - 3 Months

1…15161718

In summary, here are 10 of our most popular pytorch courses

  • Applied Object Detection & Segmentation: Coursera
  • Advanced Prompt Engineering and Memory Management: Packt
  • ML Production Systems: Coursera
  • Python Programming and Data Science Foundations for AI: Packt
  • YOLO-NAS + v8 Full-Stack Computer Vision Course: Packt
  • Design and Build Custom Neural Networks: Coursera
  • Neural Models and Machine Translation: Edureka
  • Foundations of Model Optimization and Deep Learning: Packt
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Learning Deep Learning: Unit 2: Pearson

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