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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).


More to explore:

Popular Pytorch Courses and Certifications


  • Status: Free Trial
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    Whizlabs

    NVIDIA: LLM Experimentation, Deployment, and Ethical AI

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Large Language Modeling, Artificial Intelligence, AI Workflows, PyTorch (Machine Learning Library), AI Security, MLOps (Machine Learning Operations), Tensorflow, Information Privacy, Model Deployment, Machine Learning, A/B Testing, Version Control, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    Università di Napoli Federico II

    Python per la Data Science

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Transformation, Model Evaluation

    4.3
    Rating, 4.3 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Coursera

    Advanced Machine Learning Techniques

    Skills you'll gain: Transfer Learning, Data Preprocessing, Hugging Face, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Applied Machine Learning, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Artificial Neural Networks, Image Analysis, Artificial Intelligence, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    U

    University of the Arts London

    Introduction to Creative AI

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Creativity, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Generative AI, Artificial Neural Networks, Responsible AI, Creative Problem-Solving, Creative Design, Machine Learning Methods, Data Ethics, Deep Learning, Critical Thinking

    4.4
    Rating, 4.4 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    U

    University of Colorado Boulder

    Introduction to Deep Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Intelligence and Machine Learning (AI/ML), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Pearson

    Introduction to Transformer Models for NLP

    Skills you'll gain: Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Cloud Deployment, Large Language Modeling, Computer Vision, Generative AI, Image Analysis, Generative Model Architectures, Application Deployment, Embeddings, Data Preprocessing, Model Evaluation

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Building a Machine Learning Solution

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Generative AI, Data Preprocessing, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    F

    Fractal Analytics

    How to Build a Diffusion Model - An Introduction

    Skills you'll gain: Model Evaluation, Generative AI, Data Preprocessing, Transfer Learning, PyTorch (Machine Learning Library), Machine Learning, Convolutional Neural Networks, Image Quality

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Simplilearn

    Introduction to Long Short Term Memory (LSTM) Training

    Skills you'll gain: Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Keras (Neural Network Library), PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing

    2.3
    Rating, 2.3 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • NVIDIA: LLM Experimentation, Deployment, and Ethical AI: Whizlabs
  • Python per la Data Science: Università di Napoli Federico II
  • Advanced Machine Learning Techniques: Coursera
  • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
  • Introduction to Creative AI: University of the Arts London
  • Introduction to Deep Learning: University of Colorado Boulder
  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • Introduction to Transformer Models for NLP: Pearson
  • Building a Machine Learning Solution: Coursera
  • Learning Deep Learning: Unit 1: Pearson

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