Artificial Intelligence
A comprehensive development series
Artificial Intelligence
This program series offers a comprehensive journey through the world of Natural Language Processing (NLP) and the utilization of ChatGPT, tailored specifically for small business owners and professionals. Starting with foundational concepts, the series gradually builds participants’ expertise, from understanding the basics of NLP and ChatGPT to mastering advanced techniques for strategic business applications. Through a blend of theoretical knowledge, practical hands-on workshops, and real-world case studies, attendees will learn how to leverage ChatGPT to enhance customer service, automate workflows, generate content, and derive strategic insights. The course also addresses ethical considerations, compliance, and future trends, ensuring that participants are well-equipped to implement and optimize AI-driven solutions within their businesses.
Certificate of Completion: Participants who complete both sessions (Beginner and Intermediate) will receive a Mercer Certificate of Completion.
Beginners
Designed for those beginning to learn about AI.
Intermediates
Designed for those with some background knowledge in AI.
Meet the Instructor
Anthony Choi received a B.S. in Electrical Engineering with Computer Engineering Option from George Washington University in 1991, a M.S. and Ph.D. in Electrical Engineering from University of Florida, Gainesville, FL in 1995 and 2002, respectively. He is presently a Professor and Director of Machine Intelligence & Robotics Laboratory in the Department of Electrical and Computer Engineering at the Mercer University, Macon, GA. He was awarded an ASEE Summer Faculty Fellowship to work at Naval Surface Warfare Center, Panama City Division on Mine Counter Measures using Unmanned Underwater Vehicles. He has served on various boards including the executive board for Georgia Space Grant Consortium.
He has extensive knowledge and expertise in Large Language Models (LLMs) and has experience fine-tuning LLMs for specific Natural Language Processing applications. He served as the chief architect for a contract with the US Air Force to develop an LLM (AirBERT) fine-tuned for C-130H and C-130J military transport aircraft maintenance and logistic contextual analysis. He also developed a broader aerospace LLM (AeroBERT) applicable to the broader aerospace industry. He is currently working on various AI/ML applications in agriculture, atmospheric vortex detection and analysis, a chatbot powered by LLM and NLP, to increase patients’ medical adherence, among other projects. He is also working on NASA funded project as lead curriculum developer to introduce AM/ML to middle and high school students and NSF funded project to develop and train Master Computer Science Leaders in rural Georgia K-12 school districts.
His primary research interests are Machine Learning, Natural Language Processing, Artificial Intelligence, Expert Systems, Big Data Analytics, Data Visualization, Unmanned Systems, Robotics, Intelligent Systems, and Acoustic Localization. He has been conducting projects from NASA, NSF, US Air Force, and Office of Naval Research. He is also active in consulting. He is an owner/partner in several start-up companies.