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UNCW Statue in the Spring

Certificate in Artificial Intelligence Literacy

Unlock the power of AI and navigate the ethical edge of technology

Our Alumni Have Careers In:

AI tools can supercharge data analysis, customer segmentation and campaign optimization — helping marketers make smarter, faster decisions.

Understanding AI helps in evaluating tools for patient data management, predictive analytics and improving operational efficiency in healthcare systems.

AI knowledge enables better use of automated investment platforms, fraud detection systems and predictive models for market trends and client portfolio management.

AI can assist with content generation, trend analysis and audience targeting — plus, understanding its ethical implications is key in responsible storytelling.

Learn To

Explain key AI concepts, types and applications, distinguishing between various AI models

Interpret AI/ML model performance metrics and understand which metrics are appropriate for evaluation

Apply appropriate machine learning methods to solve problems and justify their model choices

Demonstrate proficiency in using multiple AI tools to create functional AI implementations

Build and validate predictive models for various domains

Explain the basic principles and capabilities of modern artificial intelligence systems (LLMs)

Analyze the ethical questions raised by AI and the possible stances one might take toward these questions

Program Overview

Explore AI Ethically

AI is revolutionizing the workplace, and mastering AI tools is no longer optional. Knowing how to interact with AI is now a must-have skill for thriving in today’s fast-evolving professional world.

UNCW's nine-credit-hour Certificate in Artificial Intelligence (AI) Literacy is designed to equip you with essential knowledge and major-related skills to thrive in the rapidly evolving field of AI. This program blends theory with hands-on experience, giving you the tools and confidence to apply AI in your field.

For more information, contact Dr. Laurie J Patterson.

Intelligent Systems Engineering (ISE) students working in the Kresge Greenhouse

Sample Courses

  • CSC 202: AI Essentials: Understanding Artificial Intelligence
  • CSC 302: Introduction to Artificial Intelligence
  • PAR 312: Ethics of Artificial Intelligence
  • Choose from a variety of elective courses
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