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Pytorch Courses

PyTorch courses can help you learn neural network design, model training, and deep learning techniques. You can build skills in data preprocessing, hyperparameter tuning, and implementing convolutional and recurrent networks. Many courses introduce tools like TensorBoard for visualization and Jupyter Notebooks for interactive coding, showcasing how these skills are applied in projects involving image recognition, natural language processing, and other areas of artificial intelligence (AI).


Popular Pytorch Courses and Certifications


  • Status: New
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    U

    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Model Deployment, Unsupervised Learning, Artificial Intelligence, Classification Algorithms

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    14 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Pearson

    Introduction to Transformer Models for NLP: Unit 2

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Natural Language Processing, Generative AI, Transfer Learning, Embeddings, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

    Skills you'll gain: Google Cloud Platform, Model Deployment, Tensorflow, Kubernetes, Scalability, Cloud Deployment, Image Analysis, Applied Machine Learning, Cloud Computing, MLOps (Machine Learning Operations), Convolutional Neural Networks, Cloud Management, Cloud Storage, Data Management

    Intermediate · Project · Less Than 2 Hours

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    Packt

    Jetson Nano Starter to Pro - A Computer Vision Course

    Skills you'll gain: Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Artificial Intelligence, Transfer Learning, System Configuration, Deep Learning, Real Time Data, Performance Tuning, Model Deployment, Development Environment, Software Installation

    Intermediate · Course · 3 - 6 Months

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    Coursera

    Building a Machine Learning Solution

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Data Preprocessing, Cloud Deployment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    Rust for Large Language Model Operations (LLMOps)

    Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Generative AI, Rust (Programming Language), Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Cloud Deployment, PyTorch (Machine Learning Library), CI/CD, Applied Machine Learning, Natural Language Processing, Infrastructure as Code (IaC), DevOps, Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Pearson

    Programming Generative AI: Unit 3

    Skills you'll gain: Multimodal Prompts, Generative AI, Model Evaluation, Generative Model Architectures, Image Analysis, Embeddings, Transfer Learning, Computer Vision, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

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    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

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    E

    EDUCBA

    Mask Detector with Python & TensorFlow: Build & Deploy

    Skills you'll gain: Image Analysis, Cloud Deployment, Tensorflow, Amazon Web Services, Convolutional Neural Networks, Model Deployment, Application Development, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Data Preprocessing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    L

    L&T EduTech

    Industrial Applications of AI

    Skills you'll gain: Machine Learning Algorithms, Computer Vision, Applied Machine Learning, Image Analysis, Civil Engineering, Artificial Intelligence, Electrical Substation, Machine Learning, Tensorflow, Convolutional Neural Networks, Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Electric Power Systems, Electrical Engineering, Oil and Gas, Mechanical Engineering, Data Preprocessing, Healthcare 5.0

    4.7
    Rating, 4.7 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Artificial Intelligence with Python: Foundations to Projects

    Skills you'll gain: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    18 reviews

    Beginner · Specialization · 1 - 3 Months

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    P

    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

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

  • Deep Learning for Computer Vision: University of Colorado Boulder
  • Introduction to Transformer Models for NLP: Unit 2: Pearson
  • Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes: Google Cloud
  • Jetson Nano Starter to Pro - A Computer Vision Course: Packt
  • Building a Machine Learning Solution: Coursera
  • Rust for Large Language Model Operations (LLMOps): Duke University
  • Programming Generative AI: Unit 3: Pearson
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Mask Detector with Python & TensorFlow: Build & Deploy: EDUCBA
  • Industrial Applications of AI: L&T EduTech

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