CUDA Courses

CUDA programming Masterclass with C++ provided by Udemy is a comprehensive online course, which lasts for 11 hours worth of material. CUDA programming Masterclass with C++ is taught by Kasun Liyanage. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Learn CUDA with Docker! provided by Udemy is a comprehensive online course, which lasts for 2-3 hours worth of material. Learn CUDA with Docker! is taught by Scientific Programmer™ Team and Scientific Programming School. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Free Online Course: Introduction to Parallel Programming with CUDA provided by Coursera is a comprehensive online course, which lasts for 5 weeks long, 22 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Coursera. Introduction to Parallel Programming with CUDA is taught by Chancellor Thomas Pascale.

Free Online Course: CUDA at Scale for the Enterprise provided by Coursera is a comprehensive online course, which lasts for 5 weeks long, 29 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Coursera. CUDA at Scale for the Enterprise is taught by Chancellor Thomas Pascale.

Free Online Course: CUDA Advanced Libraries provided by Coursera is a comprehensive online course, which lasts for 5 weeks long, 25 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Coursera. CUDA Advanced Libraries is taught by Chancellor Thomas Pascale.

GPU Programming provided by Coursera is a comprehensive online course, which lasts for 22 weeks long, 4 hours a week. GPU Programming is taught by Chancellor Thomas Pascale. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.