Endorsed by
Coursera 4.3 (9)
Overview
This GPU Programming course is offered by Coursera in partnership with Johns Hopkins University.
What you'll learn
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
Skills you'll gain
- Image Processing
- C++
- Machine Learning
- GPU
- Parallel Computing
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access
Get more details
Visit programme websiteProgramme Structure
Courses included:
- Introduction to Concurrent Programming with GPUs
- Introduction to Parallel Programming with CUDA
- CUDA at Scale for the Enterprise
- CUDA Advanced Libraries
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Computer Sciences Human Computer Interaction Web Technologies & Cloud Computing View 145 other Short Courses in Human Computer Interaction in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate level
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months.
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus and have unlimited access
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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