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University of Florida

Current Course Offerings

Browse a selection of UF courses and trainings designed to help educators and professionals incorporate AI into their teaching and learning practices. These offerings reflect UF’s commitment to equipping instructors with the tools and strategies needed for an AI-enhanced educational experience.

For UF Faculty, Graduates, and Staff

CTE Faculty Learning Community: Harnessing AI

Nine workshop series of classes that introduce basic concepts about getting started with integrating AI into teaching practices.

Audience: UF faculty, instructors, and academic staff

Length & Frequency: 1 semester long with cohorts each semester

Modality: Hybrid; Fall: 5 modules in person/4 modules online, Spring: Online synchronous

 

Faculty Learning Community: AI Research in Teaching & Learning

This learning community supports faculty who have been teaching AI courses or using AI to support learning in their course and now want to engage in scholarship of teaching and learning about AI teaching.

Audience: UF faculty and instructors teaching with AI

Length & Frequency: Academic year, annually 

Modality:  In-person

 

Cafe Conversations: AI in Small Bytes

Café Conversations are 45-minute lunchtime sessions that feature guest speakers who are actively engaged in AI research or teaching related to AI. 

Length & Frequency: Multiple times/semester

Modality:  In-person

 

Workshop Series: Getting Started With AI

Introductory AI workshops tied to Passport AI Certificate series. Designed for faculty who are new to AI to get started

Length & Frequency: 4 – 10 times/semester, 30 – 90 minutes

Modality:  Online

 

CITT Tech Bytes

UFIT Tech Bytes is a series that provides bite-sized events covering technologies and strategies to enhance teaching and learning. 

Length & Frequency: 3 per semester, duration various

Modality: Online/in person

 

AI Foundations (Certificate Program)

AI Foundations certificate is a program for those interested in learning and acquiring knowledge and skills in AI from how to adopt different AI tools for work, how to maximize the capability of AI text generators, how to construct appropriate prompts (inputs) for desired outputs, and how to use AI image generators to expand your creativity.

This certificate program consists of five different courses

Length & Frequency: self-paced, ranging time commitment

Modality: Online

 

AI Foundations (Certificate Program) - Leveling up with Copilot/NavAI

Discover how mastering AI tools like Microsoft Copilot and NaviGator Chat can transform your team’s workflow and elevate productivity.
In this hands-on session, you’ll learn how to streamline project development—from initial brainstorming to final execution—using AI.

Length & Frequency: Monthly, 60 minutes

Modality: Online Zoom

 

AI Foundations (Certificate Program) - Mastering NaviGator Chat

In this training, participants will learn how to navigate and maximize the use of UF Navigator Chat tool. Topics covered include different AI models available, file uploads, effective prompts, chat archives, search functions, presets, and plug-in for image generation. Detailed examples and a comprehensive user guide will be shared during the session. Participants will be able to practice in real time and ask any questions.

Length & Frequency: Monthly, 120 minutes

Modality: Online Zoom, In-person

 

AI Foundations (Certificate Program) - UF GPT Microsoft Copilot - UF AI Assistant for Workplace

Fly head first into the future with UF GPT: Microsoft Copilot, your UF AI Assistant for work. Copilot is an AI assistant that uses OpenAI’s GPT-4 model. This 60-minute session explores the various ways to utilize Copilot, from streamlining tasks like drafting emails and composing documents to writing Excel formulas and debugging code. Join us to learn practical tips for integrating Copilot into your daily routine and boosting your productivity!

Length & Frequency: Monthly, 60 minutes

Modality: Online Zoom, In-person

 

Faculty Learning Community: Harnessing AI

The Center for Instructional Technology and Training and the Center for Teaching Excellence are sponsoring a faculty learning community tilted “Harnessing AI for Teaching & Learning.” This Faculty Learning Community, or FLC, collectively explores the transformative potential of artificial intelligence (AI) for teaching and learning. In the fall, members of this FLC will hear from many guest speakers and participate in a series of active learning workshops to apply AI within a diverse range of educational contexts.
In the spring, members will develop or revise course content with AI in mind, leveraging the new opportunities created by AI tools. The FLC will collaborate on Research in Teaching & Learning (RiTL) projects that will be shared with the wider UF community at the semi-annual symposiums.

Length & Frequency: Semesterly, 12 sessions

Modality:  In-person

AI in Health Education

Dive into the rapidly evolving world of artificial intelligence (AI) and its transformative role in health education, public health, and healthcare. This course is designed to equip you with a foundational understanding of AI and machine learning principles, providing a springboard to explore its applications and implications in the health sector.
After completing this course, you will gain the tools to critically evaluate the integration of AI in health initiatives and become well-versed in the potential and challenges of these technologies. This course is tailored for health educators, public health professionals, and anyone interested in the intersection of technology and health who wishes to proactively shape the future of health education and promotion in the AI era.

Length:  2 hours

Modality: Online, self-paced

 

Agricultural and Life Sciences AI

Artificial intelligence (AI) is used to solve problems in research and industry. This course provides students with an introduction to the concepts and tools used to build and using AI systems. Students will obtain the skills and knowledge they need to understand how AI is used to solve real-world agricultural and life sciences problems.

Length:  1 hour

Modality: Online, self-paced

 

R Programming Training: An Introduction for Data Analysis and Graphics

These training series are an introduction to the program language R with the purpose of getting familiar with the commands in such a way that participants will feel self-prepared to continue on their own. The content covers basic statistical analysis at the graduate level. Therefore, it is required that participants have taken at least one statistics course at the graduate level. See Syllabus for more information.

Length:  1 hour

Modality: Summer 2025. May 12-July 18

AI in Business

Advances in the Internet and Web technologies provide managers with access to vast, unstructured, and dynamic data (popularly called “Big Data”). A team of faculty in the Warrington College of Business at UF overview successful business applications of AI methods/tools for addressing problems in finance, digital platforms, marketing, and supply chain/operations.

Length:  1 hour or 4 hours

Modality: Online, self-paced

Fundamentals of AI

This course aims to provide an iterative framework to develop real-world machine learning systems that learn from data, reason with data, are deployed, reliable and scalable. The focus of this course is to introduce basic modules of machine learning systems, namely, data management, data engineering, feature engineering, approaches to model selection, training, scaling, how to continually monitor and deploy changes to ML systems, as well as the human side of ML projects such as team structure and business metrics.

Length:  1 hour or 4 hours

Modality: Online, self-paced

Ethics of AI

A brief introduction to the Ethics of AI provides a framework for identifying and navigating some of the ethical issues arising from AI applications. By the end of the course, you will have a basic understanding of the ethical ramifications of AI applications.

Length:  1 hour or 4 hours

Modality: Online, self-paced

Fundamentals of AI for STEM Learners

This course provides the framework for identifying and applying AI systems for real world applications. By the end of the course, you will have a basic understanding of all the components of an AI system.

Length:  1 hour or 4 hours

Modality: Online, self-paced

Fundamentals of AI

This course first provides an introduction about Artificial Intelligence and explores the importance of the technology. It then covers machine learning and the types of machine learning.

Length:  1 hour or 4 hours

Modality: Online, self-paced

 

Other Resources

Practicum AI Beginner Series

Intro to AI, GitHub, Jupyter Notebooks, Python, and basic neural networks.

For beginner, non-technical; HiPerGator users, PWD open enrollment, USDA-ARS

Length & Frequency: 4 hours per course (4 courses), self-paced 

Modality: online, in-person as needed

 

UFIT RC AI Support & Consulting Trainings

Tool-specific training and their use on HiPerGator: Omniverse Kit, NIMs, Computer Vision, NaviGator Toolkit. For HiPerGator users.

Length & Frequency: 1-1.5 hour, 5-6 sessions/semester

Modality: Hybrid

 

NVIDIA Deep Learning Institute Trainings

Courses include Fundamentals of Deep Learning, Enhancing Data Science Outcomes with Efficient Workflows, Parallelism on GPUs, Data Parallelism: How to Train Deep Learning Models on Multiple GPUs, and Model Parallelism: Building and Deploying Large Neural Networks.

For technical audience with Python and AI Experience

Length & Frequency: 8-hours, Several per semester

Modality: Hybrid

 

Tech Byte: AI Prompt Cookbook

Online resource with AI prompt templates and strategies

For technical audience with Python and AI experience: Faculty, staff, and graduate students

Length & Frequency: on demand, self-paced

Modality: Online

 

CITT AI Resources

Centralized webpage for AI-related educational tools, trainings, and support

Length & Frequency: on demand, self-paced

Modality: Online