ICASAT 2025

Instructors

Juan Ramón Terven Salinas PhD

Gendry Alfonso Francia PhD
Dr. Terven is a Research Professor at the National Polytechnic Institute (IPN) in CICATA-Querétaro. His research areas include artificial intelligence based on deep learning. He obtained a degree in Electronics Engineering from the Instituto Tecnológico del Mar (2004), a Master’s in Computer Science from the Autonomous University of Sinaloa (2008), and a Ph.D. in Advanced Technology from CICATA Querétaro at the National Polytechnic Institute (2016). In 2013, he was a visiting student at the Massachusetts Institute of Technology (MIT), and in 2014, he served as an internal researcher at Microsoft Research (MSR). Before joining IPN as a research professor, he worked as a professor at the Instituto Tecnológico de Mazatlán and the Universidad Politécnica de Sinaloa for eight years. Subsequently, he spent another eight years as a scientific researcher at AiFi Inc., a Silicon Valley-based company specializing in retail automation, where he was the author of 10 patents granted in the United States. Dr. Terven is a member of the National System of Researchers (SNI) and has contributed to the scientific community with approximately 40 publications in high-impact journals.
Dr. Gendry Alfonso Francia is a graduate in Computer Science Engineering from the University of Computer Sciences (UCI) in Havana, Cuba. He earned a Master’s in Computer Science with a focus on Artificial Intelligence from the Autonomous University of Querétaro (UAQ), and a Ph.D. in Engineering from UAQ. With 15 years of experience as a professor, developer, and researcher, he has taught courses in Programming, Artificial Intelligence, Computer Ethics, Automata and Formal Languages, and AI Applied to Biomedicine. He has served as a member of thesis committees, as a thesis advisor for both undergraduate and graduate students, and as a coordinator for both the career and specific courses. As a developer, he has been involved in projects related to digital identification and security, working with programming languages such as C++, C#, Python, and development environments such as .Net and Pytorch. As a researcher, Dr. Francia has specialized in Artificial Intelligence, particularly in Machine Learning, Deep Learning, and Computer Vision. He has multiple JCR-indexed publications, conference presentations, and book chapters. His primary research focus has been on the analysis of medical images, and he is currently involved in an interdisciplinary project with medical specialists at the Mexican Institute of Ophthalmology. He has volunteered as an instructor in the "Quiero Programar" project at UCI, aimed at teaching programming, problem-solving, and algorithm skills to children and teenagers in their early developmental years. Dr. Francia enjoys baseball, basketball, and spending time with friends.
Objective
Train participants in the practical development of applications that integrate large language models (LLMs) such as ChatGPT via APIs, as well as in installing, configuring, and running open-source language models locally.
Brief Course Summary
This four-hour hands-on workshop will introduce attendees to using APIs to integrate advanced models like ChatGPT into their applications, covering real-world use cases. Participants will also learn how to install, configure, and use open-source models locally—enabling them to build custom, sustainable solutions without full reliance on external services. Advanced techniques such as Retrieval-Augmented Generation (RAG) and Cache-Augmented Generation (CAG) will also be covered.
Target Audience
Software developers, data engineers, computer science students, and professionals interested in Artificial Intelligence and language-model–driven application development.
Minimum Knowledge (Theoretical & Practical)
Basic Python programmingGeneral familiarity with AI and Machine Learning (introductory level).
Requirements to Attend
Personal laptop with Internet accessPreferably Python installed locally, or access to Google Colab as an alternative.
