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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

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Statistical Analysis, Classification And Regression Tree (CART), Feature Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Gen AI Foundational Models for NLP & Language Understanding

      Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Generative AI, Natural Language Processing, Data Ethics, Text Mining, Artificial Neural Networks, Deep Learning, Semantic Web, Applied Machine Learning, Feature Engineering, Statistical Methods

      4.4
      Rating, 4.4 out of 5 stars
      ·
      126 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines, Data Transformation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      172 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      F

      Fractal Analytics

      How to Build a Diffusion Model - An Introduction

      Skills you'll gain: Generative AI, Deep Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Tensorflow, Image Analysis, Software Architecture, Artificial Neural Networks, Machine Learning, Natural Language Processing, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Perform data science with Azure Databricks

      Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Scikit Learn (Machine Learning Library), Data Processing, Deep Learning, Data Transformation, Machine Learning, Distributed Computing, Exploratory Data Analysis

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Building Generative AI-Powered Applications with Python

      Skills you'll gain: Large Language Modeling, Generative AI, OpenAI, Front-End Web Development, Web Applications, Prompt Engineering, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), Web Development, Natural Language Processing, Application Development, Python Programming, User Interface (UI), Flask (Web Framework), Back-End Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      205 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Convolutional Neural Networks

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      43K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Generative AI, Large Language Modeling, OpenAI, ChatGPT, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Tensorflow, Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Machine Learning, Application Deployment, Reinforcement Learning, Performance Tuning, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, PyTorch (Machine Learning Library), Keras (Neural Network Library), Artificial Neural Networks, Python Programming, Classification And Regression Tree (CART), Data Science, Tensorflow, Mathematical Modeling

      Build toward a degree

      3.5
      Rating, 3.5 out of 5 stars
      ·
      117 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Algorithm Alchemy: Unlocking the Secrets of Machine Learning

      Skills you'll gain:

      Intermediate · Course · 1 - 4 Weeks

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

    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
    • Machine Learning with Python: IBM
    • Gen AI Foundational Models for NLP & Language Understanding: IBM
    • Probabilistic Graphical Models: Stanford University
    • Microsoft Azure Machine Learning for Data Scientists: Microsoft
    • How to Build a Diffusion Model - An Introduction: Fractal Analytics
    • Perform data science with Azure Databricks: Microsoft
    • Building Generative AI-Powered Applications with Python: IBM
    • Convolutional Neural Networks: DeepLearning.AI
    • Generative AI with Large Language Models: DeepLearning.AI

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