Introduction to High-Performance and Parallel Computing Online Course

The University of Colorado Boulder, founded in 1876 and set against the Rocky Mountains, is a major research university serving more than 37,000 students with nearly 3,000 international learners. CU Boulder is recognized for academic excellence, expansive research programs and a sustainability-driven campus culture. Students benefit from an array of undergraduate, graduate and professional offerings that encourage innovation across science, engineering, business, arts and humanities.

Research, entrepreneurship and experiential learning are central to the CU Boulder experience, with extensive laboratory facilities, innovation labs and co-op or internship pathways that connect students to industry and civic partners. The university supports cross-disciplinary projects and provides robust advising, career services and student organizations that help translate academic interests into practical outcomes and start-up ventures.

Boulder's outdoor lifestyle and proximity to tech hubs create strong opportunities for networking, recreation and balanced living. International students are supported by dedicated offices for admissions, orientation and visa guidance, making the transition smoother. With a large program portfolio and a campus culture that values sustainability, creativity and collaboration, CU Boulder is well suited to students seeking high-impact research experiences and an active campus community.

The Introduction to High-Performance and Parallel Computing Online Course is a non-degree program for students who want to learn about high-performance computing. It's taught in English and lasts several weeks. The main advantage is that you can take it online.

This course covers subjects like parallel computing and high-performance computing. You'll develop skills in programming and problem-solving. The course has hands-on components to help you practice what you learn.

After taking this course, you can work as a Software Engineer, Data Scientist, or Research Assistant. You can also work in industries like technology or finance for employers like Google or NASA.