CUDA at Scale for the Enterprise
Completed by Devaj Rathore
April 26, 2026
28 hours (approximately)
Devaj Rathore's account is verified. Coursera certifies their successful completion of CUDA at Scale for the Enterprise
What you will learn
Students will learn to develop software that can be run in computational environments that include multiple CPUs and GPUs.
Students will develop software that uses CUDA to create interactive GPU computational processing kernels for handling asynchronous data.
Students will use CUDA, hardware memory capabilities, and algorithms/libraries to solve programming challenges including image processing.
Skills you will gain
- Category: Algorithms
- Category: Scalability
- Category: Distributed Computing
- Category: Program Development
- Category: Memory Management
- Category: Image Analysis
- Category: Digital Signal Processing
- Category: Dataflow
- Category: Event-Driven Programming
- Category: C++ (Programming Language)
- Category: Performance Tuning
