Unlock the Future: Earn Your AI Literacy Certificate
A 12-Credit Certificate for Every Major
Prepare for the AI-driven world with IUP’s Artificial Intelligence Literacy Certificate—a flexible, interdisciplinary program open to students in any field. This certificate provides:
- Foundational Knowledge and Hands-On Skills for interacting with AI technologies.
- Ethical, Social, and Professional Insights into AI’s impact on contemporary life.
- A required ethics course plus customizable electives across multiple disciplines.
Why Choose This Certificate?
- Gain Essential AI Literacy, increasingly expected in academic and professional settings.
- Build Practical Skills with digital, computational, and AI-related tools.
- Boost your Employability by understanding how AI is transforming industries.
- Develop Critical Awareness of ethical and societal impacts of emerging technologies.
- Customize Your Learning through electives in communication, computer science, humanities, and social sciences.
What You’ll Learn
- Ethical Foundations: Evaluate responsible and ethical use of AI and emerging technologies.
- Core AI Knowledge: Understand basic concepts behind AI, computing, digital tools, and the history of technological development.
- Applied Skills: Use AI and digital tools to enhance research, writing, media production, and academic work.
- Interdisciplinary Perspectives: Explore how AI affects democracy, communication, creativity, and human cognition.
Imagine Your Future
Artificial Intelligence is shaping every industry—and your AI Literacy Certificate from IUP can open doors to diverse career paths. Your skills will make you a valuable contributor in roles that demand both technical understanding and ethical insight.
Industries Looking for You
- Information Technology and Software Services
- Business and Financial Services (analytics, consulting)
- Marketing, Communications, Media, and Digital Content Creation
- Higher Education and Research Support (digital humanities, public history)
- Government and Public Sector (policy, ethics, data governance)
- Non-Profits and Cultural Institutions (museums, archives, heritage)
- Health and Biomedical Fields (data support, AI-tool integration)
Classes and Requirements
The core courses in the AI Literacy Certificate are designed to broaden your understanding of how artificial intelligence is transforming society—politically, culturally, professionally, and globally. You’ll explore the ethical dilemmas that come with emerging technologies, including issues of privacy, bias, fairness, democratic accountability, and the human consequences of automation. These classes challenge you to think critically about the role of technology in shaping our world and your own field of study.
You’ll also gain a historical perspective on computing and AI, learning how today’s tools evolved and where they may lead. This foundation helps you evaluate the social history of technology and reflect on how AI will reshape research, writing, communication, and creative work in your field.
Beyond theory, the program equips you with practical AI skills that apply across industries—from research support and content creation to data literacy and digital analysis. You’ll learn how to use AI responsibly to improve efficiency, analyze information, and produce higher-quality work in professional settings. For returning students or mid-career professionals, these courses provide adaptable, future-proof skills to navigate AI-driven changes in your industry.
Finally, the program builds confidence in using emerging tools ethically and effectively, a competence increasingly expected across public, private, and nonprofit sectors. By combining critical reflection with hands-on experience, these required courses prepare you to lead in a world where technology and humanity intersect.
Required Courses
Core: PHIL 140 Ethics of Emerging Technologies
Electives: Choose three, no more than one per prefix.
- COMM 207 Online Media Production
- CMSC 101 Computer Literacy
- ENGL 360 Editing and Publishing
- ENGL 421 Digital Writing
- HIST 279 History of Computing and Artificial Intelligence