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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

    • IBM

      Generative AI and LLMs: Architecture and Data Preparation

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Jupyter, Data Processing, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      184 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Coursera Project Network

      Deep Learning with PyTorch : Object Localization

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      43 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Machine Learning, Unsupervised Learning, Python Programming, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter

      4.8
      Rating, 4.8 out of 5 stars
      ·
      709 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Duke University

      Large Language Model Operations (LLMOps)

      Skills you'll gain: Databricks, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Data Lakes, Extract, Transform, Load, OpenAI, AWS SageMaker, Performance Tuning, Scalability, Data Transformation, Data Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Amazon Web Services, Natural Language Processing, PyTorch (Machine Learning Library), Risk Management Framework, Artificial Intelligence

      4.4
      Rating, 4.4 out of 5 stars
      ·
      171 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free

      Coursera Project Network

      Aerial Image Segmentation with PyTorch

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

      4
      Rating, 4 out of 5 stars
      ·
      29 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • IBM

      Generative AI: Foundation Models and Platforms

      Skills you'll gain: Generative AI, OpenAI, IBM Cloud, Tensorflow, Artificial Intelligence, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Natural Language Processing, Machine Learning, Open Source Technology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      199 reviews

      Beginner · Course · 1 - 4 Weeks

    • Coursera Project Network

      Classify Radio Signals with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Image Analysis, Machine Learning Methods, Feature Engineering, Deep Learning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      10 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free

      Coursera Project Network

      Deep Learning with PyTorch : GradCAM

      Skills you'll gain: PyTorch (Machine Learning Library), Heat Maps, Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: AI skills
      AI skills

      University of Pennsylvania

      AI and Machine Learning Essentials with Python

      Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Statistical Modeling, Supervised Learning, Statistics, Machine Learning, Data Processing, Artificial Intelligence, Artificial Neural Networks, Algorithms, Theoretical Computer Science, Machine Learning Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Edureka

      PySpark for Data Science

      Skills you'll gain: PySpark, Apache Spark, Unsupervised Learning, Data Pipelines, Apache Hadoop, Dashboard, Interactive Data Visualization, Apache Kafka, Data Processing, Real Time Data, Big Data, Distributed Computing, Natural Language Processing, Predictive Modeling, Data Manipulation, Feature Engineering, Machine Learning, Machine Learning Algorithms, SQL, Data Transformation

      2.9
      Rating, 2.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free

      Coursera Project Network

      Deep Learning with PyTorch : Siamese Network

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • IBM

      Introduction to Deep Learning & Neural Networks with Keras

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Computer Vision, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

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

    • Generative AI and LLMs: Architecture and Data Preparation: IBM
    • Deep Learning with PyTorch : Object Localization: Coursera Project Network
    • TensorFlow 2 for Deep Learning: Imperial College London
    • Large Language Model Operations (LLMOps): Duke University
    • Aerial Image Segmentation with PyTorch : Coursera Project Network
    • Generative AI: Foundation Models and Platforms: IBM
    • Classify Radio Signals with PyTorch: Coursera Project Network
    • Deep Learning with PyTorch : GradCAM: Coursera Project Network
    • AI and Machine Learning Essentials with Python: University of Pennsylvania
    • PySpark for Data Science: Edureka

    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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