GPU Acceleration Courses and Certifications

AI Infrastructure: Cloud GPUs

Discover how CPUs, GPUs, and TPUs power AI workloads and learn to select optimal compute resources for your projects on Google Cloud's AI infrastructure.

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

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

Cisco Certified Support Technician IT Support 100-140 Unit 4

Master troubleshooting techniques for hardware, peripherals, and connectivity issues while developing systematic problem-solving skills for diverse IT environments.

• Coursera
• 2 hours 39 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

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

A+ Core 1 V15 - Pearson Cert Prep: Unit 3

Master PC hardware fundamentals including CPUs, motherboards, RAM, storage, power supplies, and SOHO devices with hands-on procedures for A+ certification success.

• Coursera
• 11 hours 23 minutes
• 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

Coursera

GPU Clusters & Containers

Unlock distributed AI training and production deployment using cloud GPU clusters and containerization strategies for scalable machine learning systems.

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

AI Infrastructure: Networking Techniques

Master Google Cloud's high-bandwidth, low-latency networking to optimize AI workloads from data ingestion through training to inference, maximizing computational performance.

• Coursera
• 3 hours 56 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

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
• Self-Paced
• Paid Course