GPU Programming with C++ and CUDA
Completed by Hardik Shrivastava
June 6, 2026
12 hours (approximately)
Hardik Shrivastava's account is verified. Coursera certifies their successful completion of GPU Programming with C++ and CUDA
What you will learn
Accelerate real-world tasks using GPU parallelism
Optimize performance with CUDA streams and custom C++ solutions
Create and share GPU libraries with Python integration
Skills you will gain
- Category: Performance Testing
- Category: Memory Management
- Category: Hardware Architecture
- Category: Performance Tuning
- Category: Software-Defined Networking
- Category: Software Development Tools
- Category: Docker (Software)
- Category: Computer Architecture
- Category: Algorithms
- Category: Containerization
- Category: Debugging
- Category: Programming Principles
