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Modality: P (In Person) & W (Web-Based) options

Basics about Artificial Intelligence (AI) and teaching can be found on FCTL’s page on AI. Those looking for more information and some hands-on practice might wish to enroll in one of our programs that offer a deeper dive.

Basic Training: AI Essentials for Faculty

Modality: Online, Self-paced.

This is a fully online, asynchronous exploration of AI tools and how to use them. Since it is a self-paced course, faculty can enroll themselves at any time, with no deadline for completion. This option does not lead to a certificate.


AI Fundamentals for Educators, Fall 2025

Modality: This six-week course will be offered in two modalities

  • In-person, Friday 10:00 AM to 12:00 PM, Classroom Bldg. I, Room 205 [Limit:30]
  • Webcourses [Limit 50]

Registration for AI Fundamentals—Fall 2025

  • Registration: https://ucf.qualtrics.com/jfe/form/SV_bfU1JY9Nn5KZQ8K
  • Sign-ups will remain open until the maximum has been reached or the week before the cohort begins (summer, fall, and spring).
  • The course will use AI subscriptions available to UCF faculty (Copilot & Adobe Firefly), as well as “freemium” accounts with other AI platforms
  • The FCTL has subscriptions to GPT, Claude, and Scribe for faculty who would like to experiment
  • Those who complete the course will receive an informal paper certificate and be listed on our website.

AI Fundamentals Weekly Schedule

In-person, Friday cohort, 10:00 AM-12:00 PM (noon)

  • Week 1: September 5 
  • Week 2: September 12
  • Week off
  • Week 3: September 26
  • Week 4: October 3
  • Week 5: October 10
  • Week 6: October 17

Online cohort

  • Week 1: September 2-8
  • Week 2: September 9-14
  • Week off
  • Week 3: September 22-28
  • Week 4: September 29-Octobber 6
  • Week 5: October 7-13
  • Week 6: October 14-20

AI Fundamentals Weekly Modules

Week 1: AI Ethics & How LLMs Work and Prompt Engineering Tips

  • Fundamental concepts related to LLMs, including training processes and model architecture
  • AI trends in higher education
  • The ethical implications of LLM use in higher educational and research
  • Prompt engineering skills

Week 2: AI Tools to Support Faculty Workflow

  • AI tools to assist grants and project management
  • AI tools to support publication and conference submissions, bios, etc.
  • AI tools to refine program reviews
  • AI tools to plan and organize semester schedule and AESPs
  • AI tools to effectively and efficiently support accessibility

Week 3: AI Tools for Content Creation

  • Images, Videos, Podcasts, etc.
  • Presentations
  • Polls and surveys

Week 4: AI Tools for Research

  • AI research tools (like Research Rabbit, Elicit, Connected Papers, Explain Paper, docAnalyzer, and Consensus)
  • AI to organize research projects
  • Considerations of AI tools to help students with research review (undergraduate)

Week 5: AI-Developed Course Materials & Activities

  • AI tools to create class materials, rubrics, assignments, and objectives
  • AI for adaptive learning, experiential learning, and gamification
  • AI tools for course and program alignment

Week 6: Teaching AI Fluency & Skills

  • AI fluency and building AI literacy
  • Strategies to make assignments less vulnerable to AI misuse by designing AI-resilient assignments
  • Integration of AI into pedagogical frameworks

Please email fctl@ucf.edu with any questions.


Faculty Completing AI Fundamentals

The names of those who completed the AI Fundamentals course and earned completion certificates will be listed here. AI Essentials for Faculty Online Modules Faculty Completion