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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


  • N

    Northeastern University

    Master of Science in Data Analytics Engineering

    Skills you'll gain: Data Storytelling, Generative AI, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Data Governance, Data Mining, Interactive Data Visualization, Data Presentation, Web Scraping, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Natural Language Processing, Extract, Transform, Load, NoSQL, Exploratory Data Analysis, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting

    Earn a degree

    Degree · 1 - 4 Years

  • N

    Northeastern University

    Master of Science in Engineering Management

    Skills you'll gain: Data Storytelling, Software Quality Assurance, Object Oriented Design, Process Mapping, Generative AI, Open Web Application Security Project (OWASP), Text Mining, Systems Development Life Cycle, Database Design, Agile Software Development, Test Automation, Unsupervised Learning, Data Governance, Integration Testing, Cybersecurity, Classification Algorithms, PyTorch (Machine Learning Library), Statistical Hypothesis Testing, User Experience Design, Natural Language Processing

    Earn a degree

    Degree · 1 - 4 Years

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Deep Learning: Advanced Backbones and Efficient GPU Training

    Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Deep Learning, Vision Transformer (ViT), Transfer Learning, Convolutional Neural Networks, Model Optimization, Model Training, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Distributed Computing, Data Preprocessing, Embeddings, Memory Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    K

    Khalifa University

    Deep Learning for Computer Vision: Techniques & Applications

    Intermediate · Course

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    722 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Spark and Python for Big Data with PySpark

    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, Data Access, Apache, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    95 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Programming Generative AI

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Fine-tuning, Image Analysis, Model Evaluation, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, Artificial Neural Networks, LLM Application, Natural Language Processing, Deep Learning, Prompt Engineering, Model Training, Image Quality

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Language Modeling with Transformers

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Model Training, Applied Machine Learning, Model Optimization, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    150 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Fine-tuning, Model Optimization, Model Deployment, Model Training, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Generative Model Architectures, Transfer Learning, Model Optimization, Responsible AI, Data Ethics, Text Mining, Model Training, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Feature Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    203 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Fine-tune Multimodal Models with Transfer Learning

    Skills you'll gain: Model Optimization, Fine-tuning, Multimodal Prompts, Generative Model Architectures, PyTorch (Machine Learning Library), Model Training, Data Processing, Tensorflow, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Training, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Information Privacy, Data Synthesis, Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Master of Science in Data Analytics Engineering: Northeastern University
  • Master of Science in Engineering Management: Northeastern University
  • Deep Learning: Advanced Backbones and Efficient GPU Training: Board Infinity
  • Deep Learning for Computer Vision: Techniques & Applications: Khalifa University
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Spark and Python for Big Data with PySpark: EDUCBA
  • Programming Generative AI: Pearson
  • Generative AI Language Modeling with Transformers: IBM
  • Optimize Deep Learning: Tune PyTorch Models: Coursera
  • Gen AI Foundational Models for NLP & Language Understanding: IBM

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