CUDA Courses and Certifications

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

EDUCBA

DP-100 Microsoft Azure DS Exam

30 ratings at Coursera

Master end-to-end Azure ML solutions: design, implement, and deploy machine learning models using Azure ML Designer, SDK automation, AutoML, and production-ready compute targets.

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

Introduction to On-Device AI

28 ratings at Coursera

Learn to deploy AI models on edge devices, reducing latency and enhancing privacy. Master key concepts, convert models, optimize performance, and integrate into mobile apps for efficient on-device AI.

• Coursera
• 1 hour 30 minutes
• 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 Career Certificate

Apply OpenGL Rendering Pipeline Architecture

16 ratings at Coursera

Master modern OpenGL rendering pipelines through hands-on implementation of GPU communication, shaders, texturing, and camera systems for professional graphics programming.

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

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

EDUCBA

Unity: Design & Implement Advanced Rendering Effects

14 ratings at Coursera

Master advanced Unity rendering techniques including shader development, transformation matrices, and multi-texture blending for high-fidelity visual effects.

• Coursera
• 7 hours 18 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

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