GPU Computing Courses and Certifications

Shared Memory Optimization

Master shared memory optimization in GPU programming—synchronize threads, implement tiled matrix multiplication, and benchmark performance against naive implementations.

• 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

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

Nvidia

AI Infrastructure and Operations Fundamentals

495 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

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

28 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

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

Coursera Career Certificate

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/week
• Self-Paced
• Paid Course
• 3 courses

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
• Self-Paced
• Paid Course

Coursera Career Certificate

Blueprint to Bytecode: Architecting Scalable AI Systems

Master the full AI systems lifecycle—from data pipelines and GPU clusters to cloud deployment—using Kubernetes, Docker, SageMaker, and MLOps best practices to build scalable, production-ready enterprise AI solutions.

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

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Multicore and GPGPU Programming

Master parallel programming with multicore CPUs and GPUs, covering CUDA, Pthreads, MPI, and OpenMP to build high-performance, multi-threaded applications with optimised resource utilisation.

• Coursera
• 56 hours
• Self-Paced
• Paid Course

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Multicore and GPGPU Programming

Master parallel programming with multicore CPUs and GPUs, covering CUDA, Pthreads, MPI, and OpenMP to build high-performance, multi-threaded applications for modern computing architectures.

• Coursera
• 3 days 3 hours 9 minutes
• Self-Paced
• Paid Course

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
• Self-Paced
• Paid Course

Pragmatic AI Labs

GitHub: Codespaces, Actions, and Ecosystem Tools

Master cloud-based dev environments with GitHub Codespaces, GPU-accelerated AI workloads, Copilot-assisted coding, and automated CI/CD pipelines using GitHub Actions.

• Coursera
• 2 hours 38 minutes
• Self-Paced
• Paid Course