CUDA Programming Course
This course provides hands-on training in CUDA programming, focusing on GPU optimization, memory management, profiling, experimentation, and scaling for high-performance computing.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This CUDA Programming Course equips you with practical, performance-driven skills to design, optimise, and benchmark high-speed GPU kernels. You will explore GPU architecture, memory hierarchy, warps, and synchronisation, then implement coalesced access, shared memory, streams, and vectorised loads in real numeric tasks. Conclude with profiling, multi-GPU scaling, and a production-ready checklist for reliable, reproducible outcomes.
Elevify advantages
Develop skills
- Optimise CUDA kernels: adjust blocks, streams, and memory for efficient numeric code.
- Master GPU memory: handle shared, global, caches, and coalesced access patterns.
- Profile CUDA applications: utilise Nsight tools to identify and resolve performance issues.
- Design solid experiments: benchmark kernels, assess speedup, and report findings clearly.
- Scale GPU workloads: employ multi-GPU, unified memory, and kernel fusion strategies.
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
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