GPU Acceleration Courses and Certifications

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

Gopher Academy

Go Faster - Integrating CUDA in Go for GPU Acceleration

Master CUDA integration with Go to leverage GPU acceleration for ML/AI applications, covering cgo implementation, memory management, and performance optimization techniques.

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

The Julia Programming Language

CuClarabel - GPU Acceleration for a Conic Optimization Solver

Discover GPU acceleration techniques for conic optimization using Clarabel solver with mixed parallel computing strategies and mixed-precision linear system solvers.

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

JAX Fundamentals: NumPy Power-Up

Master JAX's high-performance numerical computing with NumPy-like syntax, automatic differentiation, JIT compilation, and pure functional programming for GPU/TPU acceleration.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Introduction to Parallel Programming with CUDA

Learn parallel programming with CUDA to process large datasets using GPUs. Explore thread management, memory types, and performance optimization techniques for complex problem-solving on Nvidia hardware.

• Coursera
• 21 hours 39 minutes
• Self-Paced
• Paid Course

Nvidia

AI Infrastructure and Operations Fundamentals

498 ratings at Coursera

Explore AI fundamentals, infrastructure, and operations for enterprise professionals. Gain insights into GPU computing, data center design, cloud deployment, and MLOps for effective AI implementation.

• Coursera
• 11 hours 27 minutes
• Self-Paced
• Paid Course

fast.ai

Practical Deep Learning For Coders

7 ratings

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
• Self-Paced
• Free Online Course

Open Source LLMOps Solutions

28 ratings at Coursera

Gain hands-on experience deploying open-source LLMs, from understanding fundamentals to fine-tuning models and building AI applications using a code-first approach.

• Coursera
• 1 day 12 hours 14 minutes
• Self-Paced
• Paid Course

Advanced Topics in Artificial Intelligence

19 ratings at Coursera

Delve into advanced AI applications across autonomous systems, robotics, and business operations, exploring cutting-edge infrastructure and real-world implementations for industry transformation.

• Coursera
• 22 hours 51 minutes
• Self-Paced
• Paid Course

Whizlabs

NVIDIA: Fundamentals of Machine Learning

30 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
• Self-Paced
• Paid Course

Career Certificate

Google Cloud AI Infrastructure

26 ratings at Coursera

Master AI infrastructure design and deployment using Google Cloud's Hypercomputer, GPUs, TPUs, and Kubernetes Engine to build high-performance ML solutions with optimized storage and networking.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

AI Infrastructure: Introduction to AI Hypercomputer

18 ratings at Coursera

Discover Google Cloud's AI Hypercomputers, their components (GPUs, TPUs, CPUs), and learn to select optimal deployment strategies for accelerating AI training and inference workloads.

• Coursera
• 2 hours 3 minutes
• Self-Paced
• Paid Course

EDUCBA

Apply Modern OpenGL for Real-Time Graphics Programming

15 ratings at Coursera

Master modern OpenGL fundamentals, configure development environments with GLEW integration, and build your first graphics pipeline to render real-time visual output.

• Coursera
• 5 hours 7 minutes
• Self-Paced
• Paid Course

AI Infrastructure: Cloud TPUs

11 ratings at Coursera

Unlock Google's Tensor Processing Units to optimize AI workloads, compare accelerators, maximize model performance, and master GPU/TPU interoperability for ML workflows.

• Coursera
• 3 hours 3 minutes
• Self-Paced
• 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
• Self-Paced
• $2,795.00