GPU Programming
$49
ENROLL NOWCourse Overview
What You'll Learn
- 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.
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.
Course FAQs
Is this an accredited online course?
Accreditation for 'GPU Programming' is determined by the provider, Johns Hopkins University. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'GPU Programming' on the Johns Hopkins University online class platform, where you can complete your registration.
