Starting on February 5, this free, virtual training series will offer 60-minute sessions followed by an optional 30-minute discussion period. Whether you're a student, faculty member, staff, research collaborator, or alumni, these sessions are designed to enhance your technical abilities in high-performance computing (HPC), AI, data science, and more. 

Cornell's Scientific Computing Training Series

Unlock your Scientific Computing Skills: Register for Cornell's Winter/Spring 2025 Training Series

Are you ready to enhance your skills in scientific computing, data science, and artificial intelligence? The Scientific Computing Training Series, hosted by Cornell University's Center for Advanced Computing (CAC), in collaboration with Weill Cornell Medicine, ITS, and the Clinical and Translational Science Center, is your opportunity to learn about cutting-edge computing techniques.

Upcoming Sessions Include:

• Feb. 5: Five Ways to Get Started with GPUs
• Feb. 12: Introduction to Python
• Feb. 26: Data Transfer for HPC
• Mar. 5: An Overview of AI
• Mar. 12 (Noon ET): Accelerated General Data Science in Medicine with RAPIDS, CuPy, and Numba
• Mar. 19: Getting Started with R
• Mar. 26: Data Analysis with R
• Apr. 9: SCU HPC Job Optimization Methods and Techniques

All sessions will begin at 9:00 AM ET, except for the March 12 session, which will begin at 12:00 PM ET.

Why Participate?

• Learn from experts at CAC, Weill Cornell Medicine, and NVIDIA
• Gain practical knowledge to apply directly to your work and research
• Engage with fellow students, faculty, and staff from multiple campuses and departments
• All sessions are free and conducted via Zoom, making them accessible from anywhere

How to Register:

Visit our registration page to sign up for the webinar sessions that interest you. Detailed course descriptions and additional session details are available by clicking the title of each session.

Don’t miss out on this opportunity to build valuable skills in the rapidly growing fields of AI, data science, and scientific computing.

Questions: Message socialsciences@cornell.edu