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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


  • Status: Free Trial
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    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Fine-tuning, Transfer Learning, Deep Learning, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Machine Learning

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    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
    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, Data Ethics, Machine Learning, Image Quality, Information Privacy, Data Synthesis

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Pearson

    Learning Deep Learning

    Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Tensorflow, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative Model Architectures, Model Training, Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks

    Intermediate · Specialization · 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
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    205 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    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
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    151 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    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: New
    New
    Status: Free Trial
    Free Trial
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    Microsoft

    Data Analytics and Machine Learning for Big Data

    Skills you'll gain: Apache Spark, Large Language Modeling, Applied Machine Learning, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    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

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Image Quality, Model Training, Fine-tuning, Classification Algorithms, Machine Learning Algorithms, Deep Learning, Model Optimization, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    EDUCBA

    PySpark & Python: Hands-On Guide to Data Processing

    Skills you'll gain: PySpark, MySQL, Data Pipelines, Apache Spark, Data Access, Data Processing, Data Transformation, Data Manipulation, Distributed Computing, Data Import/Export, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    42 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Responsible AI, Data Ethics, Model Training, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Machine Learning, Data Science and Generative AI with Python: Packt
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Learning Deep Learning: Pearson
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • Generative AI Language Modeling with Transformers: IBM
  • Optimize Deep Learning: Tune PyTorch Models: Coursera
  • Data Analytics and Machine Learning for Big Data: Microsoft
  • Fine-tune Multimodal Models with Transfer Learning: Coursera
  • Introduction to Computer Vision and Image Processing: IBM

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