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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
      D

      DeepLearning.AI

      Build Basic Generative Adversarial Networks (GANs)

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

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Better Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Data Ethics, Deep Learning, Machine Learning, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      682 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Custom and Distributed Training with TensorFlow

      Skills you'll gain: Tensorflow, Deep Learning, Distributed Computing, Performance Tuning, Machine Learning Methods

      4.8
      Rating, 4.8 out of 5 stars
      ·
      434 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, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

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

      Whizlabs

      Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Deep Learning, Unsupervised Learning, Natural Language Processing, Time Series Analysis and Forecasting, Data Visualization, Supervised Learning, Data Ethics, Image Analysis, Machine Learning, Text Mining, Computer Vision, Data Processing, Artificial Intelligence, Scatter Plots, Data Visualization Software, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      13 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Prepare for DP-100: Data Science on Microsoft Azure Exam

      Skills you'll gain: Databricks, Microsoft Azure, Data Science, MLOps (Machine Learning Operations), Predictive Modeling, Scikit Learn (Machine Learning Library), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Deep Learning, Tensorflow, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      67 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      I

      IBM

      Machine Learning Rapid Prototyping with IBM Watson Studio

      Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, Python Programming, Performance Tuning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      Procesamiento de Lenguaje Natural

      Skills you'll gain: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Cleansing, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Text Mining, Jupyter, Application Lifecycle Management, Pandas (Python Package), Systems Architecture, Analysis, Deep Learning, Application Development, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      53 reviews

      Beginner · Specialization · 3 - 6 Months

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

      Whizlabs

      NVIDIA: Large Language Models and Generative AI Deployment

      Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Machine Learning Methods, System Monitoring, Continuous Monitoring, Data Cleansing, Performance Tuning, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      PySpark Foundations: Process, analyze, and summarize data

      Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      D

      DeepLearning.AI

      Quantization in Depth

      Skills you'll gain: PyTorch (Machine Learning Library), Dimensionality Reduction

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Fundamentals of AI, Machine Learning, and Python Programming

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Jupyter, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning

      Beginner · Course · 3 - 6 Months

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

    • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
    • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI
    • Custom and Distributed Training with TensorFlow: DeepLearning.AI
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
    • Prepare for DP-100: Data Science on Microsoft Azure Exam: Microsoft
    • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
    • Procesamiento de Lenguaje Natural: Universidad Austral
    • NVIDIA: Large Language Models and Generative AI Deployment: Whizlabs
    • PySpark Foundations: Process, analyze, and summarize data: Coursera Project Network

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