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CUDA Course

4.7/5
CUDA Course
4.7 in the evaluation
flexible workload from 4 to 360h
valid certificate in your country

What will I learn?

Master GPU acceleration with this focused CUDA Course that takes you from CPU baselines to optimized 2D stencil kernels. Learn the CUDA programming model, warps, occupancy, and synchronization, then design efficient kernels with shared memory tiling, halo handling, and tuned block sizes. You will profile, benchmark, validate correctness, and apply architecture-aware optimizations for real, high-performance workloads.

Elevify advantages

Develop skills

  • Design high-performance CUDA kernels: map 2D grids to blocks and threads fast.
  • Optimize GPU memory: shared tiling, coalesced access, and bank-conflict fixes.
  • Tune for NVIDIA GPUs: profile kernels, boost occupancy, and cut bottlenecks.
  • Implement robust 2D stencils: boundary handling, precision choice, and testing.
  • Benchmark CPU vs GPU: measure speedups, GFLOPS, and memory bandwidth gains.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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