GPU Programming Specialization
- Offered byCoursera
- Public/Government Institute
GPU Programming Specialization at Coursera Overview
GPU Programming Specialization
at Coursera
Duration | 5 months |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
GPU Programming Specialization
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
GPU Programming Specialization at Coursera Highlights
GPU Programming Specialization
at Coursera
- Earn a Certificate upon completion
GPU Programming Specialization at Coursera Course details
GPU Programming Specialization
at Coursera
Skills you will learn
What are the course deliverables?
- Develop CUDA software for running massive computations on commonly available hardware
- Utilize libraries that bring well-known algorithms to software without need to redevelop existing capabilities
- S?tudents will learn how to develop concurrent software in Python and C/C++ programming languages.
- S?tudents will gain an introductory level of understanding of GPU hardware and software architectures.
More about this course
- This specialization is intended for data scientists and software developers to create software that uses commonly available hardware
- Students will be introduced to CUDA and libraries that allow for performing numerous computations in parallel and rapidly
- Applications for these skills are machine learning, image/audio signal processing, and data processing
GPU Programming Specialization at Coursera Curriculum
GPU Programming Specialization
at Coursera
Introduction to Concurrent Programming with GPUs
Introduction to Parallel Programming with CUDA
CUDA at Scale for the Enterprise
CUDA Advanced Libraries
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