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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
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Production AI Model Development and Ethics

    Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Model Optimization, Scikit Learn (Machine Learning Library), Data Preprocessing, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning – Modern Computer Vision & Generative AI

    Skills you'll gain: Test Driven Development (TDD), Generative Model Architectures, Image Analysis, Computer Vision, Machine Learning Methods, Fine-tuning, AI powered creativity, Model Training, Deep Learning, Keras (Neural Network Library), Python Programming, Development Environment, Software Installation

    Intermediate · Course · 1 - 3 Months

  • P

    Pearson

    Skill Up with Python: Data Science and Machine Learning Recipes

    Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Unstructured Data

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Programming Generative AI: Unit 2

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing, Image Quality, Model Training

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Visualization with ChatGPT: Python for Dashboarding

    Skills you'll gain: Dashboard, Dashboard Creation, Data Visualization Software, ChatGPT, Analytics, Data-Driven Decision-Making, Interactive Data Visualization, Data Analysis, Python Programming, Generative AI, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Fine-tuning, Tensorflow, Natural Language Processing, Network Architecture

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    PySpark: Apply & Analyze Advanced Data Processing

    Skills you'll gain: PySpark, Apache Spark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Data Analysis, Risk Modeling, Data Preprocessing, Unstructured Data, Simulation and Simulation Software, Data Manipulation, Business Intelligence, Marketing Analytics, Apache

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Image Analysis, Responsible AI, Data Ethics, Model Training, Image Quality, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    548 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Convolutions with TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Image Analysis, Computer Vision, Feature Engineering, Google Cloud Platform, Cloud Computing

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    Packt

    Applied Generative AI & NLP with Python

    Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Fine-tuning, Hugging Face, Generative AI, Model Optimization, OpenAI API, Natural Language Processing, Model Training, Large Language Modeling, Generative Model Architectures, LLM Application, Transfer Learning, Embeddings, Python Programming, Artificial Intelligence, Data Preprocessing

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Programming Generative AI: Unit 3

    Skills you'll gain: Multimodal Prompts, Fine-tuning, Generative AI, Model Evaluation, Generative Model Architectures, Image Analysis, Embeddings, Prompt Engineering, Model Training, Image Quality, Model Optimization, Autoencoders, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

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

  • Production AI Model Development and Ethics: Coursera
  • Machine Learning – Modern Computer Vision & Generative AI: Packt
  • Skill Up with Python: Data Science and Machine Learning Recipes: Pearson
  • Programming Generative AI: Unit 2: Pearson
  • Data Visualization with ChatGPT: Python for Dashboarding: Coursera
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • PySpark: Apply & Analyze Advanced Data Processing: EDUCBA
  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • Introduction to Convolutions with TensorFlow: Google Cloud

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