Autograd Courses and Certifications

EuroPython Conference

An Introduction to PyTorch & Autograd

Explore PyTorch's dynamic computation graphs and Autograd package for efficient deep learning, with practical examples and insights into GPU processing and algorithmic differentiation.

• YouTube
• 32 minutes
• On-Demand
• Conference Talk

Open Data Science

ODSC East 2016 - Building Neural Networks at Twitter with Autograd

Explore building flexible neural networks using autograd, a tool that simplifies gradient computation and enables easy experimentation with new model architectures at Twitter.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Donato Capitella

Gradient Descent in PyTorch with Autograd - Lab

Master PyTorch's Autograd library through hands-on implementation of derivatives and gradient descent, exploring computation graphs, backward passes, and loss functions with practical examples.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Packt

Deep Learning - Computer Vision for Beginners Using PyTorch

Master PyTorch and deep learning for computer vision. Build neural networks, implement CNNs, and apply skills to real-world datasets. Includes optional Python basics and data science libraries.

• Coursera
• 9 hours 40 minutes
• On-Demand
• Paid Course

Hands-On PyTorch Machine Learning

204 ratings at LinkedIn Learning

Discover the fundamentals of creating machine learning models with PyTorch, the open-source machine learning framework.

• LinkedIn Learning
• 57 minutes
• On-Demand
• Free Trial Available

PyTorch Essential Training: Deep Learning

88 ratings at LinkedIn Learning

Explore the basics of deep learning using PyTorch and test your knowledge with hands-on challenges.

• LinkedIn Learning
• 1 hour 22 minutes
• On-Demand
• Free Trial Available

Python Engineer

Deep Learning With PyTorch - Full Course

Comprehensive PyTorch tutorial covering fundamentals, advanced concepts, and practical implementations for deep learning, from tensor basics to CNNs and transfer learning.

• YouTube
• 4 hours 36 minutes
• On-Demand
• Free Video

Abhishek Thakur

PyTorch 101 - An Applied Tutorial

Discover PyTorch fundamentals through hands-on examples covering tensors, autograd, datasets, dataloaders, and building neural networks for NLP and computer vision applications.

• YouTube
• 1 hour 49 minutes
• On-Demand
• Free Video

AssemblyAI

PyTorch Crash Course - Getting Started with Deep Learning

Comprehensive introduction to PyTorch, covering tensor basics, autograd, linear regression, neural networks, and CNNs. Ideal for beginners in deep learning.

• YouTube
• 50 minutes
• On-Demand
• Free Video

Yacine Mahdid

Backpropagation with Automatic Differentiation from Scratch in Python

Master automatic differentiation and backpropagation by building PyTorch's autograd system from scratch in Python with hands-on implementation of core operations.

• YouTube
• 27 minutes
• On-Demand
• Free Video

USENIX

Resource Multiplexing in Tuning and Serving Large Language Models

Discover LLMStation's spatial-temporal multiplexing system that achieves 1.38× to 14.77× throughput gains while meeting inference latency SLOs for concurrent LLM fine-tuning and serving.

• YouTube
• 15 minutes
• On-Demand
• Free Video

Simons Institute

Deep Learning and the Relational Algebra

Exploring the integration of machine learning inference in query processing, including tensor operations and autograd in relational algebra, with insights from early research experiences.

• YouTube
• 32 minutes
• On-Demand
• Free Video

DevConf

Memory-Efficient AI - How PEFT and PyTorch Enable Accessible LLM Fine-Tuning

Discover how PEFT reduces LLM fine-tuning memory by 3-4x using PyTorch, making AI accessible with limited resources through LoRA and Prefix Tuning techniques.

• YouTube
• 12 minutes
• On-Demand
• Free Video

PyTorch Zero to All

Learn essential machine learning and deep learning concepts using PyTorch, covering linear models, neural networks, CNNs, and RNNs in a comprehensive series of lectures.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

PyTorch for Python 3.5

Learn PyTorch fundamentals, from linear models to advanced CNNs. Master gradient descent, back-propagation, regression, and neural network architectures for efficient deep learning implementation.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video