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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


  • U

    University of the Arts London

    Introduction to Creative AI

    Skills you'll gain: AI powered creativity, PyTorch (Machine Learning Library), Artificial Intelligence, Model Training, Creativity, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Creative Thinking, Generative AI, Artificial Neural Networks, Responsible AI, Creative Problem-Solving, Creative Design, Data Ethics, Critical Thinking

    ★ 4.4 (9) · Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Large Language Modeling, Text Mining, Artificial Neural Networks, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Time Series Analysis and Forecasting, Network Architecture

    Beginner · Specialization · 1 - 3 Months

  • P

    Pearson

    Introduction to Transformer Models for NLP

    Skills you'll gain: Fine-tuning, Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Generative Model Architectures, LLM Application, Application Deployment, Model Training, Embeddings, Data Preprocessing

    Intermediate · Specialization · 1 - 4 Weeks

  • C

    Coursera

    Vision & Audio AI Systems

    Skills you'll gain: Apache Airflow, Model Optimization, Data Validation, Image Analysis, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Debugging, Computer Vision, PyTorch (Machine Learning Library), Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Model Training, Embeddings, Performance Tuning, Deep Learning, Digital Signal Processing

    Advanced · Specialization · 3 - 6 Months

  • C

    Coursera

    LLM Engineering That Works: Prompting, Tuning, and Retrieval

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Optimization, Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Model Training, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL

    Intermediate · Professional Certificate · 3 - 6 Months

  • F

    Fractal Analytics

    How to Build a Diffusion Model - An Introduction

    Skills you'll gain: Model Evaluation, Model Training, Generative AI, Data Preprocessing, Model Optimization, Fine-tuning, PyTorch (Machine Learning Library), Machine Learning, Image Quality

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    AI Model Development & Deployment

    Skills you'll gain: Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, AI Integrations, Tensorflow, Solution Architecture, Model Evaluation, Apache Airflow, Model Optimization, Systems Design, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning

    Intermediate · Specialization · 1 - 3 Months

  • M

    Microsoft

    Core generative models and techniques

    Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, Model Training, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Tensorflow, Image Analysis, Forecasting, Prototyping

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Foundations of AI, LLMs, and Development Environments

    Skills you'll gain: OpenAI API, Generative Model Architectures, AI Integrations, Hugging Face, Artificial Intelligence and Machine Learning (AI/ML), Object Oriented Programming (OOP), AI literacy

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Optimizing Models for Production

    Skills you'll gain: Model Optimization, Token Optimization, Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Performance Testing, Cross Platform Development, PyTorch (Machine Learning Library), Memory Management, Development Environment, Hardware Architecture, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Secure AI Code & Libraries with Static Analysis

    Skills you'll gain: AI Security, Application Security, Secure Coding, DevSecOps, Security Testing, Threat Modeling, Vulnerability Scanning, Vulnerability Assessments, AI Personalization, Continuous Integration, Open Source Technology, CI/CD, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Dependency Analysis, Analysis, Program Implementation, Supply Chain

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

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

  • Introduction to Creative AI: University of the Arts London
  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • Introduction to Transformer Models for NLP: Pearson
  • Vision & Audio AI Systems: Coursera
  • LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
  • How to Build a Diffusion Model - An Introduction: Fractal Analytics
  • AI Model Development & Deployment: Coursera
  • Core generative models and techniques: Microsoft
  • Foundations of AI, LLMs, and Development Environments: Packt
  • Optimizing Models for Production: Coursera

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