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AI Courses and Certificates

There are several curricular offerings for students to learn more about AI.

Courses

Below are the for-credit courses, arranged alphabetically by course code:

  1. ART 3659c: The Art of AI. This course looks at how artificial intelligence connects with creative industries. It focuses on tools, ethical issues, and social effects. Through hands-on activities and discussions, students explore topics like copyright, bias, and responsible digital citizenship. The course is open to learners of all experience levels. It also emphasizes digital skills and ethical behavior in a technology-driven world.
  2. CAP 1931: AI for All. This course is from the Computer Science department, and is technical, but does not require coding/programming.
  3. EDG 6938: Artificial Intelligence in Teacher Education. This course will provide instruction on what AI is and how to use it ethically and responsibly to enrich learning experiences, implement innovative teaching strategies, and foster professional growth. Participants will gain valuable insights and practical skills to effectively integrate AI into their educational practices, ultimately benefiting their students and advancing their careers.
  4. ENC 3600: Literacies of Artificial Intelligence. Explores evolving definitions of AI literacy; examines core concepts and constructs that impact literate use of AI within civic, professional, and academic spheres.
  5. ENG 3861: Digital Humanities Approaches to AI. Fundamentals of digital humanities approaches to artificial intelligence. Students will learn about both the history of these technologies and how they are reshaping culture and creativity, as well as get hands-on practice to understand the possibilities and limitations of these technologies for literary, cultural, and textual purposes.
  6. ENG 6806: Humanities in the Age of AI. This course offers an exploration of the theory and practice of artificial intelligence and its use in textual, visual, and procedural arts and humanities work. The course is divided into three units, reflecting these primary areas of the usage of AI, and engaging with both creative examples and theoretical critiques of that usage.
  7. HIN 4728: AI in Healthcare. This course is under development and will be offered in a future semester.
  8. PHI 3681: AI and Big Data Ethics. Focuses on the normative principles, practices, and problems around AI development and implementation in the broader context of digital and big data ethics.
  9. PHI 6679: As digital technologies and information continues to pervade our experience of and in the world, digital ethics works to develop strategies, theories, and concepts to help us navigate the complex value landscape. Connecting cases and examples to digital ethics theory, this seminar examines ethical implications of contemporary digital technologies and the cultures, communities, and environments they support. Students of digital ethics will critically examine the nature and scope of the digital to analyze and unpack its ethical implications for not only social structures and institutions but also for human and nonhuman nature.

AI Course Designation in GEP (General Education)

The General Education Program (GEP) is currently exploring the idea of adding a course designation for courses that have significantly integrated AI into the curriculum. More information about this is expected in Fall 2025.

Certificates

Below are transcript-level certificates directly related to AI, arranged alphabetically by name:

  1. Artificial Intelligence, Big Data, and Human Impacts. This 12-hour undergraduate certificate, housed in the department of Writing & Rhetoric, draws from interdisciplinary perspectives across the College of Arts and Humanities to provide students with critical and creative approaches to the ethics, uses, histories, and broad implications of big data-driven technologies such as Artificial Intelligence.
  2. Digital Humanities in the Age of AI. This graduate certificate integrates perspectives from digital humanities, software studies, literary and cultural studies, digital rhetoric and composition, technical/professional writing, digital public history, and critical technology studies towards understanding and implementing digital humanities and artificial intelligence in our work and our classrooms. Intended to engage students with key areas of both digital humanities and AI, this interdisciplinary program is appropriate for students from any major or background.

Other related certificates:

Graduate Degree Programs

  1. Master of Science in Computer Vision. The Master of Computer Vision program provides you with the technical skills and domain knowledge needed to succeed in this fast-growing industry. This involves acquiring, processing, analyzing and understanding images, videos, 3D data and other types of high-dimensional data of the real world employing the latest machine learning techniques.
  2. Master of Science in Robotics and Autonomous Systems. Design next-generation technology with a Master of Science in Robotics and Autonomous Systems at UCF. Intelligent systems power our world, from self-driving cars and robots in manufacturing to unmanned aerial vehicles and robotic-assisted surgery. UCF’s Master of Science in Robotics and Autonomous Systems will help you analyze, design and develop emerging robotic and autonomous platforms that are increasingly becoming part of human society.
  3. Data Analytics (MS) – AI Track. The track emphasizes the technical aspects of artificial intelligence in data analytics, including artificial intelligence algorithm design, advanced object oriented programming, acquisition, management, mining, analysis, and interpretation of data. It is a 30 credit hour program.

Additional related graduate programs: