Step into the future of work with a new course, AI in the Workplace.
AI is transforming how we work, changing tools, workflows, and expectations across industries. This free, four-week program will give you the tools and knowledge to work more efficiently and stay ahead in a rapidly changing world.
Each class combines dynamic lectures, interactive discussions, and hands-on activities to ensure you gain real-world knowledge and skills. Your journey toward future-proofing your career starts here.
If you have questions, please review the FAQ below. Other questions can be directed to genAI@pace.edu.
Please ensure you are registering with your @pace.edu zoom account. You need to log onto pace.zoom.us at least one time before using this account. Helpdesk has on how to authenticate your account.
We highly recommend attending so you can confirm your registration, learn how to access the class, meet your instructor, get an overview of the course, and ask any questions before the course begins.
You can at your leisure.
July classes will take place weekly between July 14 and August 7. There are four total weeks.
The course is conducted via . Login with your Pace credentials.
Send an email to Joe Seijo at jseijo@pace.edu.
Please review this and complete the .
We are hoping to offer more training in the future. Please keep an eye on this page.
Badges earned before July sessions have been distributed. If you completed the quizzes but have not received your badge, please check with your instructor.
July badges are in process of being collected and should be distributed in the next few weeks.
Matthew Ganis, PhD, is a professor of computer science on the Pleasantville Campus. A 40-year veteran of IBM, Ganis is recognized as an industry expert in agile software methodologies. He has spoken extensively on iterative development methods and the use of social media analytics to understand customer sentiment and behavior. Ganis is the author of two books鈥攐ne on distributed Scrum and another on social media analytics鈥攁nd has published more than 50 papers across his fields of expertise.
Hetal Mistry, MS, is a Ph.D. candidate in Computer Science at Seidenberg, where she also serves as an adjunct professor teaching Introduction to Computing and Web Design for Non-Profit Organizations. Her research tackles two high-impact challenges: developing hybrid Graph Convolutional and Graph Attention Network models to detect anomalies across domains in cybersecurity, and exploring how mobile and fixed broadband access correlates with carbon emissions across global economies. Her work bridges AI, sustainability, and cybersecurity, aiming to drive both technological innovation and responsible digital growth.
Johnni Medina, MA, is manager of content and digital engagement in University Relations and the creator of a suite of custom AI bots for Pace marketing teams. They have also helped lead AI literacy initiatives, delivered generative AI curriculum to students and staff, and consulted on AI adoption at Pace and beyond. Medina focuses on designing practical, people-first systems that require no programming knowledge, enabling broad integration within nontechnical teams.
David Sachs, EdD, is a professor of information systems in the Seidenberg School of Computer Science and Information Systems and has served as faculty co-chair of the University鈥檚 AI Committee since April 2024. Sachs authored the AI materials currently used in CIS-101, which has served over 2,000 undergraduates, and manages many of the AI training initiatives underway at the University.
Joe Seijo is the associate director of instructional design and an adjunct instructor in the criminal justice program in the Dyson College of Arts and Sciences. He supports faculty in developing online courses for both new and existing programs. His current focus is empowering faculty to confidently integrate AI into their teaching to enhance course content and increase student engagement.
Diane Snyder, MEd, has a 40-year career in education, engineering, and technology. After starting as a systems engineer at General Electric, she moved into academia and now serves as an adjunct professor of telecommunications. Her recent work focuses on creating hands-on AI courses that teach technical foundations and practical applications, managing STEM grants for underrepresented groups, and integrating ethical AI into educational curricula.
Gordon Snyder, MS, is a veteran STEM educator with four decades of experience. He authored four engineering textbooks, co-founded the Hi-Tec Conference, and has led National Science Foundation鈥揻unded Centers of Excellence in emerging technologies. Recognized as one of the top 15 STEM faculty in the United States by Microsoft, Snyder has served as an adjunct professor since 2005. His current work focuses on AI curriculum development and collaborating with academic and industry partners to advance practical, trustworthy AI use.
Gabriel Terrizzi, BA, is the director of web, mobile, and AI services. He authored the University鈥檚 first ethical guidelines for the use of generative AI and co-developed the institution鈥檚 inaugural faculty-approved classroom policy on AI. Terrizzi has led the development and deployment of AI tutors, overseen the training of T-Bone, the University鈥檚 AI-powered chatbot, and taught multiple sections of the University鈥檚 pioneering AI in the Workplace course for students, faculty, and staff.
From privacy risks to environmental costs, the rise of generative AI presents new ethical challenges. This guide developed by the Pace Library explores some of these key issues and offers practical tips to address these concerns while embracing AI innovation.
花季传媒鈥檚 Seidenberg School of Computer Science and Information Systems is launching a new artificial intelligence (AI) lab at its New York City campus.
What does it mean to learn in an AI-driven world? 花季传媒 staff, faculty, and leadership weigh in on the concerns, challenges, and opportunities that AI presents for students, both during their education and within future careers.