Generative AI is making coding and app development more accessible for everyone. Learn how to use generative AI for code generation, troubleshooting, and optimization. Acquire essential skills, such as: AI prompting techniques Analytical thinking Code generation and optimization Generative AI IBM Granite Large Language Models Problem solving Earn an industry-recognized Digital Credential and an IBM Certificate Learners who successfully complete the GLE receive two IBM SkillsBuild Digital Stickers, a  Code Generation and Optimization Using IBM Granite Digital Credential issued and verified by Credly, and an IBM SkillsBuild Certificate. Enrollment window: Sept 8th – Sept 26th, 2025 at: https://ibm.biz/Bdnb6S Course starts: Sept 29th, 2025 Hours: 12.5 (6h self-paced content + 6.5hours of optional live sessions)

Olivia Owens from the Boston University School of Public Health will be hosting an information sessions to discuss their select scholars program and how Vassar students can take advantage of the available scholarships and educational opportunities.

A fast paced 60 minutes with IBM Tech Talk College and University Student Wednesdays! Join industry leaders and students in this discussion with questions from students and connections to leaders that you have been requesting. In addition to hearing from an industry expert in a different topic each month, also hear from and begin networking with other students who have been participating in the programs for over a year now who are also answering the questions in the chat because to their experiences, internships, or jobs they are now in. The dialogue continues to expand with the student, industry and academic experiences shared in this discussion. 1) IBM Midwest Academic Programs Manager walks students through enrollment and new asset for today (10 Minutes) 2) IBM Recruiting Leader talks about new information on jobs in IBM (internship and full-time positions) (10 Minutes) 3) Industry Tech talks from subject matter expert (25 Minutes) 4) Question and answer time (15 minutes) Looking forward to seeing you!