NVIDIA, Dell, Mark III, and the Clemson-MUSC AI Hub are hosting an AI/Machine Learning Education Series for institutions in South Carolina and the greater community in Spring 2026. This education series is 100% virtual and will include both tutorials and virtual "rapid labs" for attendees delivered via Jupyter Notebook. There will be a series of sessions that will feature industry experts in Machine Learning, who will dive into current trends around AI/ML. We hope you can join us!
AI/ML Education Series
Upcoming Sessions:
Wednesday, March 25 (3pm-4pmET)
Introduction to Computer Vision
Speaker: Data Scientist, Mark III
In this session, we'll cover the basics around what computer vision is, how it works (classification, object detection, segmentation), some of the popular frameworks and models used today, and what some of the practical applications might be in research and industry. We'll also walk through what a typical Computer Vision project lifecycle might look like.
We'll cap the session with a 20-minute rapid mini-workshop via Jupyter Notebook where we'll use code examples to build a CNN image classifier as well as using pretrained model libraries for object detection and image segmentation.
Wednesday, April 8 (3pm-4pm ET)
MONAI for AI and Medical Imaging
Speaker: Data Scientist, Mark III
MONAI is an open source project and set of collaborative framework designed to accelerate research and clinical collaboration around medical imaging.
In this session we will discuss the tools MONAI provides for utilizing medical scan information in PyToch. We'll cap this session with a lab that will use MONAI to import NIfTI scans and explore MONAI's data augmentation capabilities to manipulate these scans.
Wednesday, May 6 (3pm-4pm ET)
Intro to Large Language Models (LLMs)
Speaker: Data Scientist, Mark III
In this session we'll overview the landscape around LLMs and Generative AI and look at the Hugging Face Transformers library for working with LLMs. This session will also include a Jupyter Notebook lab that will take attendees through the process of using Falcon-7B for inference and memory efficient finetuning.
Replays (Past Sessions):
Wednesday, Jan 7th (3pm-4pmET)
Introduction to Machine Learning and AI: What is it and why we do we need it?
Speaker: Data Scientist, Mark III
In this session, we’ll cover the basics around what Machine Learning is, look at the different ML techniques and methods, examine what a typical ML project lifecycle looks like, and discuss some of the most commonly used example algorithms.
This session will also include a 20-minute rapid mini-workshop via Jupyter Notebook where we'll use an example dataset from Kaggle and take it through the steps of training and evaluating a model to make predictions using ML. Specifically the use case will cover using quantitative data to predict benign and malignant tumors, based on a large dataset.
Wednesday, Feb 4th (3pm-4pmET)
Introduction to Deep Learning and Neural Networks
Speaker: Data Scientist, Mark III
In this session we'll cover the basics around what Deep Learning is, look at how it fits within the AI/ML universe, and walk through a typical Deep Learning project lifecycle.
We'll cap the session with a 20-minute rapid mini-workshop via Jupyter Notebook where we'll use an example dataset (CIFAR-10) to train and evaluate a neural network model using Keras.