Course Description

The GPU Programming specialization offered by Johns Hopkins University is designed to equip students with the necessary skills to harness the power of modern graphics processing units (GPUs). With a rating of 2.7 stars from 97 reviews, this specialization is a comprehensive and in-depth program that covers a range of topics including Python Programming, Machine Learning, Computer Programming, Artificial Neural Networks, C Programming Language Family, C++ Programming, Algorithms, Data Science, and Linear Algebra. In today's data-driven world, GPUs have become increasingly important in accelerating complex computations and data processing tasks. This specialization will provide students with a solid foundation in GPU programming, allowing them to take advantage of this powerful technology in various fields such as data science, machine learning, and computer graphics. The intermediate level program is designed for individuals who already have a basic understanding of programming and are looking to expand their skills in GPU programming. With a duration of 3-6 months, students will have the opportunity to dive deep into the fundamentals of