Program Details
Next Start Date: August 17
Credit Hours: 9
Course Length: 12-16 weeks
Estimated Program Length: 9-12 months
Move beyond simply using AI tools and learn to lead, design and make informed decisions about AI integration in real-world environments with UWF's Artificial Intelligence in Education Graduate Certificate.
Why Study Artificial Intelligence in Education at UWF?
The University of West Florida's online Artificial Intelligence in Education Graduate Certificate program balances innovation and responsibility, equipping you with the ability to critically evaluate AI, apply it strategically and implement it responsibly across a wide range of education and training contexts.
The certificate's interactive and reflective curriculum provides relevant and transferable skills for a wide-variety of fields through carefully curated instruction and an applied project experience where you design and implement AI-supported solutions tailored to your own professional context.
Offered fully online, the program is accessible for working professionals seeking flexibility while developing the knowledge, skills, and confidence to thoughtfully integrate artificial intelligence into learning and performance environments. Grounded in applied practice, graduates are positioned to become trusted leaders and problem-solvers in the evolving landscape of education and training.
What You Will Learn
Whether you are a classroom teacher, instructional designer, corporate trainer or organizational leader, upon completion of the Artificial Intelligence in Education Graduate Certificate you will be able to:
- Apply AI strategically in educational and training environments by identifying when, where and why it enhances learning outcomes
- Evaluate and select AI tools, adaptive systems and intelligent tutoring platforms based on instructional goals, learner needs and overall effectiveness
- Design meaningful learning experiences that integrate AI with evidence-based instructional practices to improve engagement, performance and learner success
- Address ethical, legal and policy considerations by developing responsible approaches to privacy, bias, accessibility, academic integrity and data use
- Lead AI integration efforts through applied practice, clear communication and infomed-decision making
