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    PyTorch Courses Online

    Master PyTorch for deep learning. Learn to build and train neural networks using PyTorch for various AI applications.

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    Explore the PyTorch Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Neural Networks and PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Applied Machine Learning, Supervised Learning, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      48 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Reinforcement Learning, Deep Learning, Unsupervised Learning, Image Analysis, Data Manipulation, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Tensorflow, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Computer Vision, Artificial Intelligence, Scientific Visualization, Natural Language Processing, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.9K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      O

      O.P. Jindal Global University

      Machine Learning

      Skills you'll gain: Tensorflow, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Python Programming, NumPy, Artificial Neural Networks, Deep Learning, Image Analysis, Matplotlib, Unstructured Data, Predictive Modeling, Machine Learning, Natural Language Processing, Pandas (Python Package), Computer Vision, Feature Engineering, Text Mining, Regression Analysis, Performance Tuning

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      PyTorch Ultimate 2024 - From Basics to Cutting-Edge

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Generative AI, Artificial Neural Networks, Computer Vision, Image Analysis, Machine Learning, Machine Learning Methods, Graph Theory, Supervised Learning, Artificial Intelligence, Dimensionality Reduction, Text Mining, Unsupervised Learning, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Google Cloud Platform, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      44 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35K reviews

      Beginner · Specialization · 1 - 3 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Keras (Neural Network Library), Supervised Learning, Feature Engineering, Reinforcement Learning, Deep Learning, Generative AI Agents, Applied Machine Learning, Image Analysis, Data Manipulation, Natural Language Processing, Tensorflow, OpenAI, Machine Learning, Python Programming, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Image Segmentation

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      214 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      E

      EDUCBA

      PyCharm Project - Tic-Tac-Toe Game Development

      Skills you'll gain: Event-Driven Programming, Integrated Development Environments, Game Design, Maintainability, User Interface (UI), Python Programming, Application Development

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Python Programming, Unsupervised Learning, Artificial Neural Networks, Computer Vision, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      S

      Simplilearn

      Introduction to Long Short Term Memory (LSTM) Training

      Skills you'll gain: 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

      Beginner · Course · 1 - 4 Weeks

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

    • Introduction to Neural Networks and PyTorch: IBM
    • Deep Learning with PyTorch: IBM
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • Machine Learning: O.P. Jindal Global University
    • PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
    • Machine Learning: DeepLearning.AI
    • IBM AI Engineering: IBM
    • Python for Data Science, AI & Development: IBM
    • Deep Learning with PyTorch : Image Segmentation : Coursera Project Network
    • PyCharm Project - Tic-Tac-Toe Game Development: EDUCBA

    Frequently Asked Questions about Pytorch

    PyTorch is a deep learning framework that doubles as a fast, flexible deep learning research platform. This Python package is based on Torch, an open-source Lua-based machine learning package. It delivers tensor computation similar to NumPy, but with more powerful GPU acceleration. It also speeds up the process from prototyping to production. It was first introduced in 2017 by the Facebook Artificial Intelligence Research team, and it's become popular among amateurs and professionals alike, largely because of its intuitive approach and easy-to-understand modular process that makes it easier to build and experiment with deep learning architectures.‎

    If you're passionate about deep learning and want simple-to-understand code, PyTorch is a good framework to learn. It works with Python instead of creating friction. Additionally, it's simple to get started using with a long list of optimizers and easy techniques for loading data. If you're interested in creating applications like natural language processing, computer vision, or anything in the AI field, PyTorch is a strong contender. Because it offers a simple interface and powerful API, plus the ability to implement it on Windows and Linux, PyTorch provides higher productivity for developers.‎

    If you're an aspiring machine learning engineer, data scientist, computer engineer, data analyst, or computational chemist, gaining a solid foundation in PyTorch puts you on the path to your chosen career. Researchers rely heavily on PyTorch, using it to create dynamic graphs, and it has steadily become the chosen framework featured at machine learning conferences. Learning about PyTorch and becoming proficient in using it is useful for a variety of career options. It's also essential for students and anyone dabbling in machine learning on their own.‎

    Online courses provide a mix of classroom learning and hands-on experience to give you a firm grasp of the fundamentals like linear regression, artificial neural networks, and data science, while also honing your skills. Taking online courses on Coursera exposes you to a mix of PyTorch subjects ranging from beginner-level courses and Guided Projects to Professional Certificate programs provided by industry leaders like IBM. By opting for online PyTorch classes, you have greater flexibility to go at your own pace, making it easier to fit your courses around your busy life.‎

    Online PyTorch courses offer a convenient and flexible way to enhance your knowledge or learn new PyTorch skills. Choose from a wide range of PyTorch courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in PyTorch, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    The PyTorch developer certification verifies your ability to build and train deep learning models using PyTorch. Offered by the PyTorch Foundation, the exam covers topics like tensors, model training, and computer vision. Courses like Deep Learning with PyTorch, Keras and Tensorflow from IBM on Coursera can help you prepare with hands-on experience.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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