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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: New
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    Coursera

    Building a Machine Learning Solution

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

    Intermediate · Course · 1 - 3 Months

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    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Deep Learning, Applied Machine Learning, Network Architecture, Time Series Analysis and Forecasting, Machine Learning, Data Processing

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    AI & Predictive Analytics with Python

    Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Predictive Analytics, Applied Machine Learning, Random Forest Algorithm, Text Mining, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Scikit Learn (Machine Learning Library), Data Science, Data Processing, Unstructured Data, Algorithms

    Mixed · Course · 1 - 4 Weeks

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    Edureka

    Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Data Ethics, Responsible AI, Text Mining, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Artificial Intelligence, Scikit Learn (Machine Learning Library), Time Series Analysis and Forecasting, Machine Learning, Data Analysis, Unstructured Data, Data Cleansing, Applied Machine Learning, Unified Modeling Language

    Intermediate · Specialization · 3 - 6 Months

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    Pearson

    Generative AI for Developers: Unit 2

    Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Microsoft Copilot, Scripting, Python Programming, Application Development, Web Applications, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Test Driven Development (TDD), Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Generative AI and Large Language Models

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, OpenAI, Multimodal Prompts, Responsible AI, Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, Image Analysis, Application Deployment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Università di Napoli Federico II

    Python per la Data Science

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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Recommender Systems

    Skills you'll gain: AI Personalization, Data Manipulation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Data Processing, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Neural Networks

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Deep Learning for Natural Language Processing

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Prompt Engineering, LLM Application, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Generative AI, Network Architecture, Artificial Intelligence, Machine Learning Algorithms

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Pennsylvania

    Deep Learning Essentials

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Data Processing, Artificial Neural Networks, Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Building a Machine Learning Solution: Coursera
  • RNN Architecture and Sentiment Classification: Packt
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • AI & Predictive Analytics with Python: EDUCBA
  • Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
  • Generative AI for Developers: Unit 2: Pearson
  • Generative AI and Large Language Models: Coursera
  • Python per la Data Science: Università di Napoli Federico II
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Recommender Systems: Packt

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