PyTorch Courses and Certifications

Rob Mulla

Build Your First PyTorch Model - Image Classification Tutorial

Build and train a PyTorch image classifier for playing cards, following the process from dataset setup through results.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Kaggle;  Amazon Web Services;  Amazon Career Certificate

Introduction to Machine Learning with Pytorch

5 ratings

Build supervised, unsupervised, and deep learning models with PyTorch: fit classification and regression models, cluster with K-means and Gaussian mixtures, and train an image classifier.

• Udacity
• 49 hours
• Self-Paced
• Paid Course

Deep Learning for Images with PyTorch

802 ratings at DataCamp

This course on deep learning for images using PyTorch will equip you with the practical skills and knowledge to excel in image classification, object detection, segmentation, and generation.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Deep Learning for Text with PyTorch

800 ratings at DataCamp

Learn Text Processing Techniques You'll dive into the fundamental principles of text processing, learning how to preprocess and encode text data for deep learning models.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

PyCon US

Detecting Honeybee Swarms Using the Integration of OpenCV, Pandas, AI, and PyTorch

1 rating

Discover how to build a solar-powered Raspberry Pi system that monitors honeybee hives using OpenCV, PyTorch, and Pandas to detect swarms and prevent hive loss through real-time analysis.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Venelin Valkov

Build a Neural Network for Classification from Scratch with PyTorch

Build a first classification neural network in PyTorch, from exploring and splitting data to creating tensors and applying ReLU.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Venelin Valkov

Build Your First Model with PyTorch and Python - PyTorch Tutorial for Beginners

Build a simple linear regression model in PyTorch to predict penguin body mass from flipper length.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Venelin Valkov

Mastering PyTorch Tensors- The Ultimate Guide for Beginners

Learn to create, manipulate, reshape, convert, move, and save PyTorch tensors for machine learning and deep learning workflows.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Samuel Chan

Train a PyTorch Neural Network Step-by-Step - PyTorch Deep Learning

Learn to build and train a PyTorch neural network for image classification, achieving 85% accuracy on Fashion MNIST. Covers data preparation, network architecture, loss functions, optimization, and model visualization.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Samuel Chan

PyTorch Datasets, DataLoaders and Transforms - GPU Series Part 3

Explore PyTorch's data handling tools: Datasets, DataLoaders, and Transforms. Learn to prepare, visualize, and optimize data for GPU-accelerated deep learning using Fashion-MNIST dataset.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Samuel Chan

Introduction to Tensors - PyTorch with GPU Series Part 2

Explore tensor initialization, GPU usage, operations, memory sharing, and profiling in PyTorch for efficient deep learning model development.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

AMD Hardware, Software and Libraries for Developing AI/ML Applications Using PyTorch

An overview of AMD hardware, software, and libraries for developing AI/ML applications with PyTorch.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

VeScale - A PyTorch Native LLM Training Framework

Explore a novel PyTorch-native framework for LLM training, combining automatic parallelism and ease of use. Scale your models efficiently with single-device code and transparent nD parallelization.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Anyscale

Fast and Scalable Model Training with PyTorch and Ray

Learn distributed model training with PyTorch and Ray. Migrate code, scale AI workflows, and optimize performance for large-scale training and fine-tuning on Anyscale.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Anyscale

Zero-Copy Model Loading with Ray and PyTorch for Efficient Deep Learning Inference

Optimize deep learning model loading for production using PyTorch and Ray. Implement zero-copy techniques to reduce costs and improve performance in NLP model deployments.

• YouTube
• 33 minutes
• Self-Paced
• Free Video