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    • Pytorch

    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
      Free
      D

      DeepLearning.AI

      Introduction to On-Device AI

      Skills you'll gain: Performance Testing, PyTorch (Machine Learning Library), Android (Operating System), Embedded Software, Tensorflow, Hardware Architecture, Applied Machine Learning, Mobile Development, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Computer Vision

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free
      Free
      D

      DeepLearning.AI

      Pretraining LLMs

      Skills you'll gain: Large Language Modeling, Generative AI, Data Processing, PyTorch (Machine Learning Library), Data Cleansing, Performance Testing, Deep Learning, System Configuration

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Deep Learning Essentials

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning

      3.6
      Rating, 3.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Quantization Fundamentals with Hugging Face

      Skills you'll gain: Generative AI, Large Language Modeling, Performance Tuning, PyTorch (Machine Learning Library), Applied Machine Learning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      NVIDIA: Fundamentals of Deep Learning

      Skills you'll gain: Deep Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Machine Learning Methods, Supervised Learning, Data Processing, Network Model, Network Architecture

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Industrial Applications of AI

      Skills you'll gain: Machine Learning Algorithms, Computer Vision, Image Analysis, Applied Machine Learning, Machine Learning, Artificial Intelligence, Civil Engineering, Tensorflow, Automation, Computer Engineering, Engineering Software, Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Electrical Engineering, Mechanical Engineering, Predictive Modeling, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      NLP Modelos y Algoritmos

      Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Unsupervised Learning, Algorithms, Supervised Learning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      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: Free
      Free
      D

      DeepLearning.AI

      Efficiently Serving LLMs

      Skills you'll gain: Large Language Modeling, OpenAI, Performance Tuning, Generative AI, PyTorch (Machine Learning Library)

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      Selecting the Right LLM with Hugging Face

      Skills you'll gain: Large Language Modeling, Programming Principles, ChatGPT, OpenAI, Applied Machine Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Build Multimodal Generative AI Applications

      Skills you'll gain: Generative AI, OpenAI, Tensorflow, PyTorch (Machine Learning Library), Image Analysis, Large Language Modeling, Application Development, Artificial Intelligence, Prompt Engineering, Natural Language Processing, Web Applications, Computer Vision, Flask (Web Framework)

      Intermediate · Course · 1 - 4 Weeks

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    1…12131415

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

    • Introduction to On-Device AI: DeepLearning.AI
    • Pretraining LLMs: DeepLearning.AI
    • Deep Learning Essentials: University of Pennsylvania
    • Applied Machine Learning: Johns Hopkins University
    • Quantization Fundamentals with Hugging Face: DeepLearning.AI
    • NVIDIA: Fundamentals of Deep Learning: Whizlabs
    • Industrial Applications of AI: L&T EduTech
    • NLP Modelos y Algoritmos: Universidad Austral
    • Python per la Data Science: Università di Napoli Federico II
    • Efficiently Serving LLMs: DeepLearning.AI

    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.‎

    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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