CUDA Programming Course
Master CUDA programming to build high-performance GPU kernels. Learn memory hierarchy, streams, profiling, and optimization techniques to boost numeric workloads, accelerate data transforms, and ship faster, scalable production-ready code.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This CUDA Programming Course gives you practical, performance-focused skills to design, optimize, and benchmark high-speed GPU kernels. You will learn GPU architecture, memory hierarchy, warps, and synchronization, then apply coalesced access, shared memory, streams, and vectorized loads to real numeric workloads. Finish with profiling, multi-GPU scaling, and a production-ready checklist for robust, reproducible results.
Elevify advantages
Develop skills
- Optimize CUDA kernels: tune blocks, streams, and memory for fast numeric code.
- Master GPU memory: shared, global, caches, and coalesced access patterns.
- Profile CUDA apps: use Nsight tools to find and fix real performance bottlenecks.
- Design robust experiments: benchmark kernels, measure speedup, and report clearly.
- Scale GPU workloads: apply multi-GPU, unified memory, and kernel fusion tactics.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course duration?
What are the courses like?
How do the courses work?
What is the course duration?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course