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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: Free Trial
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    Packt

    Advanced Prompt Engineering and Memory Management

    Skills you'll gain: Retrieval-Augmented Generation, Prompt Patterns, Token Optimization, Memory Management, Context Management, Document Management, Embeddings, User Interface (UI), Vector Databases, Debugging

    Advanced · Course · 1 - 3 Months

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    Packt

    YOLO-NAS + v8 Full-Stack Computer Vision Course

    Skills you'll gain: Computer Vision, Mobile Development, Model Training, Fine-tuning, Model Deployment, Model Optimization, PyTorch (Machine Learning Library), Flask (Web Framework), Tensorflow, Application Deployment, AI Integrations, Cloud Deployment, Data Preprocessing, User Interface (UI), Development Environment, User Interface (UI) Design

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Edureka

    Neural Networks and Computer Vision Foundations

    Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Edureka

    Neural Models and Machine Translation

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Model Training, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Generative Model Architectures, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    Google Cloud

    ML Pipelines on Google Cloud - Português

    Skills you'll gain: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Google Cloud Platform, Data Pipelines, Model Deployment, Tensorflow, Continuous Deployment, AI Workflows, Metadata Management, Model Training, Model Optimization, AI Orchestration

    Advanced · Course · 1 - 3 Months

  • Status: Preview
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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Classification Algorithms, Autoencoders, Predictive Modeling, Model Optimization

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    Packt

    Deep Learning, NLP, and AI Applications

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Fine-tuning, Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Model Training

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud en Español

    Skills you'll gain: Apache Airflow, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Model Deployment, Continuous Deployment, Tensorflow, Metadata Management, Model Training, Model Optimization

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    Packt

    Deep Learning and Advanced Techniques

    Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Fine-tuning, Deep Learning, Applied Machine Learning, Tensorflow, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Model Training

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    LearnKartS

    AWS Tools and Services for AI

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, Retrieval-Augmented Generation, Prompt Engineering Tools, Generative AI, Multimodal Prompts, Model Evaluation, Model Optimization, Generative Model Architectures, LLM Application, Amazon Web Services, Embeddings, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    End-to-End Multimodal AI: Fine-Tuning, Fusion, and MLOps

    Skills you'll gain: API Design, MLOps (Machine Learning Operations), Restful API, Fine-tuning, OAuth, Model Deployment, Application Programming Interface (API), Technical Communication, Model Training, Model Evaluation, Transfer Learning, Vision Transformer (ViT), Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Solution Architecture, Machine Learning, Data Architecture, Machine Learning Algorithms, Data Science

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
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    Northeastern University

    Applied Natural Language Processing in Engineering Part 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Machine Learning Methods, Generative Model Architectures, Data Preprocessing, Deep Learning, Markov Model, Model Optimization, Model Training

    Mixed · Course · 1 - 3 Months

1…15161718

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

  • Advanced Prompt Engineering and Memory Management: Packt
  • YOLO-NAS + v8 Full-Stack Computer Vision Course: Packt
  • Neural Networks and Computer Vision Foundations: Edureka
  • Neural Models and Machine Translation: Edureka
  • ML Pipelines on Google Cloud - Português: Google Cloud
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Deep Learning, NLP, and AI Applications: Packt
  • ML Pipelines on Google Cloud en Español: Google Cloud
  • Deep Learning and Advanced Techniques: Packt
  • AWS Tools and Services for AI: LearnKartS

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