GPU Computing Courses and Certifications

Whizlabs

NVIDIA: Fundamentals of Machine Learning

24 ratings at Coursera

Master machine learning fundamentals, from data preprocessing to advanced GPU-accelerated techniques using NVIDIA RAPIDS. Covers supervised and unsupervised learning, model evaluation, and practical implementations.

• Coursera
• 6 hours 1 minute
• On-Demand
• Paid Course

Strategies for Parallelizing LLMs Masterclass

21 ratings at Udemy

Mastering LLM Parallelism: Scale Large Language Models with DeepSpeed & Multi-GPU Systems

• Udemy
• 8 hours 41 minutes
• On-Demand
• Paid Course

Blackmagic DaVinci Resolve Engineering & Advanced Operations (Live Online)

8 ratings at CourseHorse

Gain expert insights into optimizing DaVinci Resolve systems with advanced training in media management, color standards, and deliverable workflows.

• CourseHorse
• 13 hours
• On-Demand
• $2,795.00

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

Coursera Microcredential

Deep Learning Engineering

Master production-scale deep learning systems through TensorBoard diagnostics, PyTorch optimization, transformer fine-tuning, and GPU deployment with containerized infrastructure.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Pragmatic AI Labs

LLM Server

In this course you will learn how to set up a GPU Server on your own infrastructure, download open source models, and build applications with those models programmatically and with Agents

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Deploy and Scale AI Models with Cloud Run

Discover how to deploy and optimize AI inference services on Cloud Run with GPU support and data storage integration for efficient serverless ML applications.

• Coursera
• 1 hour 24 minutes
• On-Demand
• Paid Course

Coursera

Automate Cloud Workflows with Python Scripting

Master cloud automation by writing Python scripts that eliminate manual tasks, provision resources, and manage ML workflows with Infrastructure as Code principles.

• Coursera
• 1 hour 25 minutes
• On-Demand
• Paid Course

AI Infrastructure: Deployment Types

Explore Google Cloud's AI infrastructure deployment strategies, from Compute Engine to Kubernetes, with hands-on cluster creation and inference optimization techniques.

• Coursera
• 5 hours 11 minutes
• On-Demand
• Paid Course

Coursera

Scale Kubernetes: Optimize Your Systems

Master advanced Kubernetes resource optimization for ML/AI workloads through HPA configuration, utilization analysis, and cost-effective scaling strategies in production environments.

• Coursera
• 1 hour 50 minutes
• On-Demand
• Paid Course

KodeKloud

ML Model Development and Tracking: Hands-on Guide

Master MLOps "Middle Loop" with MLflow tracking, model versioning, and production deployment through hands-on insurance claim automation project.

• Coursera
• 3 hours 3 minutes
• On-Demand
• Paid Course

Coursera

Optimize AI: Build Fast Efficient Pipelines

Master building fast, efficient AI training and inference pipelines by optimizing data loading, computational graphs, and GPU utilization to reduce latency and boost performance.

• Coursera
• 1 hour 28 minutes
• On-Demand
• Paid Course

The Machine Learning Engineer

Rapids Machine Learning Training y Feature Engineering en tu GPU con CuML y CuDF

Acelera el entrenamiento de modelos y la ingeniería de características utilizando GPU con CuML y CuDF para optimizar tus flujos de trabajo de aprendizaje automático.

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

SK AI SUMMIT 2024

AI 시대, 최적의 GPU 인프라 선택 방안 - On-Premise vs Cloud

Discover optimal GPU infrastructure strategies for AI development, comparing on-premise and cloud solutions with focus on TCO minimization and SKT's GPUaaS collaboration with Lambda.

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

SK AI SUMMIT 2024

GPU 클러스터를 아껴쓰고 나눠쓰고 바꿔쓰고 다시쓰기 - 동적 할당 기술과 고성능 클러스터링 구현

Discover GPU 클러스터 동적 할당 기술로 비용 절감과 성능 최적화를 달성하는 실무 노하우와 적용 사례를 통한 운영 효율 개선 방법.

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