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  • Pytorch

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


  • D

    DeepLearning.AI

    Introduction to On-Device AI

    Skills you'll gain: Model Deployment, Cloud Deployment, Performance Testing, Android Development, Model Optimization, Model Evaluation, Image Analysis, PyTorch (Machine Learning Library), AI Integrations, Tensorflow, Hardware Architecture, Artificial Neural Networks, Artificial Intelligence

    ★ 4.4 (27) · Beginner · Project · Less Than 2 Hours

  • D

    DeepLearning.AI

    Quantization in Depth

    Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Deployment

    ★ 4.7 (6) · Intermediate · Project · Less Than 2 Hours

  • I

    Illinois Tech

    Statistical Learning

    Skills you'll gain: Statistical Analysis, Data Analysis, Data Science, Statistical Programming, Statistical Methods, Statistical Machine Learning, Statistical Modeling, Applied Machine Learning, Model Evaluation, Regression Analysis, Statistics, Machine Learning Methods, Machine Learning Algorithms, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Logistic Regression

    ★ 4.6 (9) · Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Using Beam ML to catch Toxicity in Gaming

    Skills you'll gain: Real Time Data, Scalability, Data Pipelines, Model Evaluation, Model Deployment, Applied Machine Learning, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Model Deployment, Model Training, Unsupervised Learning, Dimensionality Reduction, Classification Algorithms

    ★ 4.5 (25) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Modern AI Models for Vision and Multimodal Understanding

    Skills you'll gain: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Embeddings, Digital Signal Processing, Machine Learning Methods, Classification Algorithms, Probability Distribution

    ★ 4.4 (30) · Advanced · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Intro to Federated Learning

    Skills you'll gain: Federated Learning, Fine-tuning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Model Optimization, Information Privacy, LLM Application, Model Training, Distributed Computing, Machine Learning

    ★ 4.5 (14) · Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Advanced Machine Learning Techniques

    Skills you'll gain: Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Software, Model Training, Data Preprocessing, Data Processing, Hugging Face, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • 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, Cloud Deployment, PyTorch (Machine Learning Library), Applied Machine Learning, Model Training, Natural Language Processing, DevOps, Amazon Web Services, Machine Learning

    ★ 4.3 (15) · Intermediate · Course · 1 - 4 Weeks

  • P

    Pearson

    Generative AI for Developers: Unit 2

    Skills you'll gain: Prompt Engineering, GitHub Copilot, Generative AI, ChatGPT, AI Integrations, Scripting, Python Programming, Application Development, Test Script Development, Web Applications, AI Workflows, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Software Documentation

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning Engineering

    Skills you'll gain: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines

    Advanced · Specialization · 1 - 3 Months

  • A

    AI CERTs

    AI for Vibe Coding

    Skills you'll gain: Vibe coding, GitHub Copilot, Prompt Engineering, LLM Application, AI powered creativity, Responsible AI, AI Security, LangChain, OpenAI API, Secure Coding, Software Development Tools, AI Enablement, Generative AI Agents, AI Integrations, Application Development, AI Product Strategy, Programming Principles, Generative AI, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Course · 1 - 3 Months

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

  • Introduction to On-Device AI: DeepLearning.AI
  • Quantization in Depth: DeepLearning.AI
  • Statistical Learning: Illinois Tech
  • Using Beam ML to catch Toxicity in Gaming: Google Cloud
  • Deep Learning for Computer Vision: University of Colorado Boulder
  • Modern AI Models for Vision and Multimodal Understanding: University of Colorado Boulder
  • Intro to Federated Learning: DeepLearning.AI
  • Advanced Machine Learning Techniques: Coursera
  • Rust for Large Language Model Operations (LLMOps): Duke University
  • Generative AI for Developers: Unit 2: Pearson

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