GPU Computing Courses and Certifications

fast.ai

Practical Deep Learning For Coders

7 reviews

Learn how to get a GPU server online suitable for deep learning— to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.

• Independent
• 7 weeks, 10 hours a week
• On-Demand
• Free Online Course

NVIDIA GPU Computing - A Journey from PC Gaming to Deep Learning

Explore the evolution of NVIDIA GPU from gaming to deep learning in this Stanford University seminar. Learn from NVIDIA's VP of GPU ASIC Engineering.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Online Course

Introduction to Parallel Programming with CUDA

31 ratings at Coursera

Learn to develop code for processing large data in parallel on GPUs with Johns Hopkins University's 5-week course. Master Nvidia CUDA, thread management, and memory types.

• Coursera
• 21 hours 39 minutes
• On-Demand
• Free Online Course (Audit)

Open Source LLMOps Solutions

Learn the fundamentals of large language models (LLMs) and put them into practice by deploying your own solutions based on open source models. By the end of this course, you will be able to leverage state-of-the-art open source LLMs to create AI applicat…

• Coursera
• 1 day 11 hours 54 minutes
• On-Demand
• Free Online Course (Audit)

Nvidia

AI Infrastructure and Operations Fundamentals

92 ratings at Coursera

Artificial Intelligence, or AI, is transforming society in many ways. From speech recognition to self-driving cars, to the immense possibilities offered by generative AI. AI technology provides enterprises with the compute power, tools, and algorithm…

• Coursera
• 8 hours 29 minutes
• On-Demand
• Free Online Course (Audit)

Nvidia

Introduction to AI in the Data Center

82 ratings at Coursera

Welcome to the Introduction to AI in the Data Center Course! As you know, Artificial Intelligence, or AI, is transforming society in many ways. From speech recognition to improved supply chain management, AI technology provides enterprises with the comp…

• Coursera
• 5 hours 10 minutes
• On-Demand
• Free Online Course (Audit)

Learn CUDA with Docker!

21 ratings at Udemy

Learrn to Code with CUDA with GPGPU-Simulators & Docker, Kickstart Your Computing and Data Science Career!

• Udemy
• 2-3 hours
• On-Demand
• Paid Course

Deep Learning with PyTorch Live Course

1 review

Master deep learning with PyTorch in a 12-hour course, covering tensors, gradient descent, image classification with CNNs, and GANs for image generation.

• freeCodeCamp
• 12 hours
• On-Demand
• Free Online Course

Transfer Learning for Images Using PyTorch: Essential Training

Discover how to implement transfer learning using PyTorch, the popular machine learning framework.

• LinkedIn Learning
• On-Demand
• Free Trial Available

Nvidia

Introduction to AI in the Data Center

46 ratings at Independent

Explore AI's role in data centers with Nvidia's 4-week course. Learn about AI use cases, GPU architecture, deep learning frameworks, and infrastructure planning. Ideal for IT professionals. No prior experience required.

• Independent
• 5-6 hours
• On-Demand
• Free Online Course

Pytorch Tutorial

Pytorch Tutorials: How To Run Pytorch Code In GPU Using CUDA Library. Solving Kaggle Pima Diabetes Prediction Using ANN With PyTorch Library. Live-Kaggle Advance House Price Prediction Using PytorCh Deep Learning. How To run Pytor ch code in GPU using CU…

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Online Course

Using PyTorch in the Cloud: PyTorch Playbook

This course covers the important aspects of using PyTorch on Amazon Web Services (AWS), Microsoft Azure, and the Google Cloud Platform (GCP), including the use of cloud-hosted notebooks, deep learning VM instances with GPU support, and PyTorch estimators…

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

OpenCV DNN

Master OpenCV DNN module, neural network deployment, object detection, and depth estimation in Python and C++ in a 3-4 hour study.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Online Course

Kavli Institute for Theoretical Physics

Lessons and Outlook for ML Parameterization of Sub Grid Atmospheric Physics From the Vantage of Emulating Cloud Superparameterization - Mike Pritchard

Explore the application of machine learning in climate science with this short program by Kavli Institute for Theoretical Physics. Gain insights into atmospheric physics, global modeling, and neural network tuning.

• YouTube
• 42 minutes
• On-Demand
• Free Online Course

USENIX

ZeRO-Offload - Democratizing Billion-Scale Model Training

Learn to train large-scale models using ZeRO-Offload, a method that democratizes billion-scale model training. Offered by USENIX, it requires less than an hour of study.

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