GPU Acceleration Courses and Certifications

WeAreDevelopers

Python Day - Modern NLP, GPU Acceleration, Semantic Search, and Streaming

Explore Python's versatility with expert talks on natural language processing, GPU acceleration, semantic search, and streaming code conversion. Gain insights into modern Python applications and techniques.

• YouTube
• 3 hours 53 minutes
• Self-Paced
• Free Video

USENIX

VectorVisor - A Binary Translation Scheme for Throughput-Oriented GPU Acceleration

Explore VectorVisor, a novel GPU acceleration approach for server-side applications, offering improved throughput and cost-efficiency through vectorized binary translation and CPU thread emulation.

• YouTube
• 25 minutes
• Self-Paced
• Conference Talk

Enable GPU-Acceleration Without Worrying About Managing Device Drivers

Discover an operator-based approach for seamless GPU driver management in Kubernetes, enabling AI/ML workloads with minimal disruption and supporting diverse hardware configurations.

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

Inside Livermore Lab

High-Order Solvers and GPU Acceleration for MFEM - Workshop 2022

Explore high-order finite element methods, GPU acceleration, and matrix-free solvers for scientific simulations using MFEM. Learn about low-order-refined preconditioning and adaptive mesh refinement.

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

MolSoft Molecules in Silico

Highlights of Recent ICM Developments: GPU Acceleration, Applications, and More

Explore recent ICM developments, including GPU acceleration and applications. Discover advancements in molecular modeling, docking, and AI tools for computational chemistry.

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

Tech Field Day

AI Hypercomputer and GPU Acceleration with Google Cloud

Explore Google Cloud's AI hypercomputer infrastructure, including GPU systems like A3 Ultra, A4, and A4X, consumption models, and performance projections for LLM training, presented by Product Manager Dennis Lu.

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

Python Tutorials for Digital Humanities

Exploring Big Data with cuDF Pandas - A Step-by-Step Guide Using GPU Acceleration

Dive into big data analysis with cuDF Pandas, a GPU-accelerated framework, using the American Stories dataset. Learn to download, visualize, and analyze large datasets with syntax similar to pandas but with the speed advantages of GPU processing.

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

Conf42

Edge Intelligence Revolution - GPU Acceleration and Distributed AI Implementation

Discover how GPU-accelerated edge AI transforms manufacturing, telecom, and autonomous systems while addressing data sovereignty and security challenges in distributed computing.

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

The Machine Learning Engineer

MLOps - Feature Engineering for Tabular Data With GPU Acceleration

Master advanced feature engineering for tabular data using GPU acceleration with RAPIDS cuDF and cuML, covering target encoding, count encoding, and XGBoost vs SVM performance.

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

Using GPUs to Scale and Speed-up Deep Learning

1 rating

Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.

• edX
• 5 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course

Pragmatic AI Labs

DevOps, DataOps, MLOps

Streamline AI Operations: Leverage DevOps, DataOps, and MLOps for End-to-End Machine Learning Solutions.

• edX
• 4 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Programming Generative AI: Unit 1

Discover generative AI fundamentals and master PyTorch programming through hands-on tensor manipulation, neural network building, and deep learning model implementation.

• Coursera
• 5 hours 32 minutes
• Self-Paced
• Paid Course

Packt

Advanced Generative Adversarial Networks (GANs)

Master AI-driven image synthesis with GANs. Learn architectures, implement models, and optimize performance using popular datasets. Apply knowledge to generate realistic images for practical applications.

• Coursera
• 12 hours 46 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

Rust for Large Language Model Operations (LLMOps)

Develop efficient Large Language Model solutions using Rust.

• edX
• 4 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Credential

Deep Learning

Comprehensive introduction to Deep Learning, covering neural networks, popular frameworks, and GPU acceleration. Hands-on projects prepare learners for real-world AI applications and career opportunities.

• edX
• 26 weeks, 2-4 hours a week
• Self-Paced
• $495.00
• 5 courses