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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

      Machine Learning with Apache Spark

      Skills you'll gain: Apache Spark, Machine Learning, Extract, Transform, Load, PySpark, Applied Machine Learning, Generative AI, Supervised Learning, Data Pipelines, Unsupervised Learning, MLOps (Machine Learning Operations), Data Processing, Predictive Modeling, Data Transformation, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      104 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Databricks

      Introduction to Computational Statistics for Data Scientists

      Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Data Science, Statistical Methods, Probability, Markov Model, Statistics, Probability Distribution, Statistical Inference, Jupyter, Classification And Regression Tree (CART), Python Programming, Simulations, Anomaly Detection, Debugging, Regression Analysis, Statistical Programming, Algorithms

      4
      Rating, 4 out of 5 stars
      ·
      109 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Glasgow

      Generative Pre-trained Transformers (GPT)

      Skills you'll gain: Large Language Modeling, ChatGPT, Generative AI, Natural Language Processing, Deep Learning, Artificial Intelligence, Artificial Neural Networks, Data Ethics, Text Mining, Risk Management Framework

      4.4
      Rating, 4.4 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Predictive Modeling, Unsupervised Learning, Microsoft Azure, Predictive Analytics, Applied Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Supervised Learning, Application Deployment, Data Pipelines

      4.3
      Rating, 4.3 out of 5 stars
      ·
      173 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Statistical Machine Learning, Unsupervised Learning, Supervised Learning, Machine Learning, Markov Model, Statistical Modeling, Statistical Methods, Graph Theory, Probability & Statistics, Probability Distribution, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Calculus, Applied Mathematics, Advanced Mathematics, Numerical Analysis, Mathematical Modeling, Deep Learning, Machine Learning, Artificial Neural Networks, Python Programming, Visualization (Computer Graphics), Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      872 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Basic Generative Adversarial Networks (GANs)

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Big Data, Distributed Computing, Data Processing, Applied Machine Learning, Supervised Learning, Statistical Methods, Data Science, Statistical Analysis, Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Manipulation

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

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

      Whizlabs

      NVIDIA: Fundamentals of NLP and Transformers

      Skills you'll gain: Natural Language Processing, Text Mining, Deep Learning, Data Processing, Machine Learning Methods, Machine Learning, Time Series Analysis and Forecasting

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Create Machine Learning Models in Microsoft Azure

      Skills you'll gain: Predictive Modeling, Unsupervised Learning, Deep Learning, Applied Machine Learning, Data Science, Machine Learning, PyTorch (Machine Learning Library), Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Supervised Learning, Pandas (Python Package), Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Statistical Modeling, Classification And Regression Tree (CART), Regression Analysis, Keras (Neural Network Library), Image Analysis, Microsoft Azure

      4.5
      Rating, 4.5 out of 5 stars
      ·
      301 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      GenAI For Business Analysis: Fine-Tuning LLMs

      Skills you'll gain: OpenAI, Large Language Modeling, Prompt Engineering, Generative AI, Python Programming, Customer Complaint Resolution, Customer Analysis, Artificial Intelligence, Data Processing, Performance Analysis, Data Analysis, Machine Learning

      4
      Rating, 4 out of 5 stars
      ·
      6 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Intro to TensorFlow en Español

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Deep Learning, Machine Learning Methods, Data Import/Export, Artificial Neural Networks, Supervised Learning, Pandas (Python Package), Application Programming Interface (API)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      137 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Machine Learning with Apache Spark: IBM
    • Introduction to Computational Statistics for Data Scientists: Databricks
    • Generative Pre-trained Transformers (GPT): University of Glasgow
    • Microsoft Azure Machine Learning for Data Scientists: Microsoft
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
    • Create Machine Learning Models in Microsoft Azure: Microsoft

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