This repository contains general information about the College of Engineering (COE) Applied AI workshop during the summer of 2026.
- Module 1 - AI and Software Engineering Tools
- Module 2 - Foundations of Machine Learning
- Module 3 - Foundations of Deep Learning
- Module 4 - Physics and Deep Learning
- Content Slides
- Invited Talks:
- Day 1: Playing with AI: Curiosity, Mistakes, and Finding Real Co-Intelligence by Tarek N. Aziz
- Day 2: Towards Open Autonomous Labs for Plant and Microbial Agentic Phenotyping by Larry York, ORNL.
- Day 3: From Prompts to Agents: Scalable, Efficient, and Grounded Agentic AI for Engineering Workflows by Dongkuan Xu, NC State.
- Day 4: Introduction to NC State's HPC by Andrew Petersen, HPC, NC State. [ Proxy5 Script | Bsub Script | Slurm Script ]
- Day 5: NeuralSmith: An Automated AI/ML engineering Co-Pilot by Vijay K. Shah
- Day 9: Generative AI for MEAS Research by Paul Liu
Before starting, make sure that you download the CSV data file, and make a copy of the jupyter notebook. This video has the basic explanation of how to copy and execute all the steps in the notebook.
Follow the instructions in this document to get Git & Github set up in your machine and to test some of their capabilities.
Visit the Local_LLM-Demos and the Local_LLM_RAG repos for details.
Visit the PINN 1D Demo and the PINN 2D Demo repos for details.
- Generative AI for Science by Dr. J. Paul Liu, NC State.
- How to Build and Fine-Tune a Small Language Model by Dr. J. Paul Liu, NC State. Book Code Link