GPU Programming
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.
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- المدة
- الطبع بواسطة Johns Hopkins University
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Offered by
عن
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.Auto Summary
Enhance your programming capabilities with the "GPU Programming" specialization, designed specifically for data scientists and software developers aiming to leverage widely available hardware for high-performance computing. Taught by Coursera, this professional-level course introduces CUDA and various libraries to enable rapid, parallel computations. You'll gain skills applicable to machine learning, image and audio signal processing, and extensive data processing tasks. With flexible subscription options including Starter and Professional plans, this course is tailored for those ready to advance their technical expertise in GPU programming and apply it to real-world applications. Join now to elevate your software development prowess and stay ahead in the evolving tech landscape.
Chancellor Thomas Pascale