CUDA Programming Course
This course provides hands-on training in CUDA programming, focusing on GPU architecture, optimization techniques, and performance profiling for high-performance computing applications.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This CUDA Programming Course equips you with practical, performance-oriented skills to design, optimise, and benchmark high-speed GPU kernels. You will learn GPU architecture, memory hierarchy, warps, and synchronisation, then apply coalesced access, shared memory, streams, and vectorised loads to real numeric workloads. Finish with profiling, multi-GPU scaling, and a production-ready checklist for robust, reproducible results.
Elevify Advantages
Develop Skills
- Optimise 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 workload.What our students say
FAQs
Who is Elevify? How does it work?
Do the courses come with a certificate?
Are the courses free?
What is the course duration?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an online course and how does it work?
PDF Course