Deepskilling — Learn. Build. Research.
Deepskilling — Learn. Build. Research.

GPU Computing Foundation

Your launchpad into NVIDIA CUDA — 10 modules, labs every step, from GPU intuition through kernels, memory hierarchy, profiling with Nsight, and a capstone mini-project. The essential first step on the Deepskilling GPU pathway.

4.8

(310 students)

4 Weeks · 42 hours

Next Cohort:

No upcoming sessions scheduled yet.

Can't find a suitable date?

What is this course about?

GPU Computing Foundation

CUDA Fundamentals · NVIDIA Pathway

Learn GPU computing from first principles—CUDA programming model, memory hierarchy, kernels, and profiling—through labs that build CUDA confidence.

What you'll walk away with:

  • CUDA mental models for host/device execution and memory
  • Kernel writing and memory-transfer skills for basic GPU apps
  • Profiling habits that turn demos into measurable speedups
  • Foundations for production CUDA and AI acceleration courses
  • Lab evidence aligned to NVIDIA GPU computing pathways
Course Features

Post Graduate Diploma

4 Weeks of Content

Hands-on Projects

Community Support

Lifetime Access

Student Reviews
Aditya Menon
2024-03-08

Finally bridged CPU intuition to GPUs. Module 5 vector-add lab plus Nsight sections demystified bottlenecks. Got confident debugging launch failures!

NVIDIA Partner Startup

Karen Liu
2024-03-06

Memory hierarchy week was exactly what interviews ask—coalescing, shared memory tiling, occupancy. Reduction lab was tougher than expected in a good way.

Autonomous Robotics Lab

Rahul Srinivasan
2024-03-04

Lab-first pacing kept me accountable. Histogram mini-project stitched everything together before the advanced CUDA bridge lecture.

HPC SaaS Bengaluru

Sophie Bauer
2024-03-02

Profiling block with Nsight Systems & Compute mirrored how our platform team investigates latency. Exactly the NVIDIA toolchain exposure I wanted.

AI Inference Platform GmbH

James Okoro
2024-02-28

Clear progression from grids/blocks/threadIdx to optimisation and concurrency—prepared me to pair with CUDA C++ infra engineers without feeling lost.

Fintech Acceleration Desk

Meera Kapoor
2024-02-26

Instructors push you to benchmark CPU vs GPU fairly and document results—great habit for portfolios. Debugging module saved hours on illegible CUDA errors!

Defense Simulation Unit

More in NVIDIA

View all NVIDIA courses