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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

    • Packt

      Advanced PyTorch Techniques and Applications

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative AI, Deep Learning, Dimensionality Reduction, Unsupervised Learning, Supervised Learning, Artificial Neural Networks, Image Analysis, Machine Learning, Application Deployment, Flask (Web Framework)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      DeepLearning.AI

      Quantization in Depth

      Skills you'll gain: PyTorch (Machine Learning Library), Quantitative Research, Numerical Analysis, Open Source Technology

      Intermediate · Project · Less Than 2 Hours

    • Università di Napoli Federico II

      Data Science con Python e R

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Scripting, Machine Learning, Exploratory Data Analysis, Programming Principles

      4.3
      Rating, 4.3 out of 5 stars
      ·
      50 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Packt

      Keras Deep Learning & Generative Adversarial Networks (GAN)

      Skills you'll gain: Keras (Neural Network Library), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Exploratory Data Analysis, Deep Learning, Matplotlib, Artificial Intelligence, Pandas (Python Package), Python Programming, NumPy, Data Processing, Data Analysis, Artificial Neural Networks, Data Visualization, Classification And Regression Tree (CART), Regression Analysis, Data Science, Computer Vision, Tensorflow

      Intermediate · Specialization · 3 - 6 Months

    • DeepLearning.AI

      Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Applied Machine Learning, Text Mining, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Illinois Tech

      Statistical Learning

      Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Methods, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Feature Engineering, Dimensionality Reduction

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      IBM

      Machine Learning with Apache Spark

      Skills you'll gain: Apache Spark, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      97 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Microsoft

      Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

      Skills you'll gain: Databricks, Unsupervised Learning, PySpark, Microsoft Azure, Apache Spark, Scikit Learn (Machine Learning Library), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Data Visualization, Regression Analysis, Data Science, Predictive Modeling, Applied Machine Learning, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Big Data, Cloud Computing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      542 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Edureka

      Generative AI Applications and Popular Tools

      Skills you'll gain: Generative AI, Computer Vision, Image Analysis, OpenAI, Software Development Tools, GitHub, Artificial Intelligence, Application Development, Natural Language Processing, Creative Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • Arizona State University

      Introduction to Machine Learning with Python

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Computer Vision, Predictive Modeling, Regression Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Coursera Project Network

      Sentiment Analysis with Deep Learning using BERT

      Skills you'll gain: Text Mining, PyTorch (Machine Learning Library), Data Processing, Performance Tuning, Deep Learning, Natural Language Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      396 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Cloud Computing, Augmented Reality, Application Development, Computer Science, Machine Learning, Data Processing

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

      Beginner · Course · 1 - 3 Months

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

    • Advanced PyTorch Techniques and Applications: Packt
    • Quantization in Depth: DeepLearning.AI
    • Data Science con Python e R: Università di Napoli Federico II
    • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
    • Sequence Models: DeepLearning.AI
    • Statistical Learning: Illinois Tech
    • Machine Learning with Apache Spark: IBM
    • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
    • Generative AI Applications and Popular Tools: Edureka
    • Introduction to Machine Learning with Python: Arizona State University

    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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