Developed and presented by the University of Florida and customized for USDA-ARS with funding from ARS’s AI Center of Excellence, Practicum AI is a hands-on applied artificial intelligence (AI) curriculum intended for learners with limited coding and math background. Using hands-on exercises and graphically based, conceptual content, the program starts from introductory content and builds your AI knowledge, enabling you to design and conduct AI work. Starting this fall, the University of Florida Research Computing team will be offering a series of courses to help ARS researchers begin using AI. In January, a more advanced course on computer vision will be offered.
To register for these courses, please fill out the registration form. You do not need to register for all courses and may instead register for only the courses that are most relevant to your work. You will need a SCINet account for all but Course 1. If you do not have a SCINet account, you may request one.
FY24 (Q1 and Q2) Practicum AI courses:
Each course will be on Monday and Wednesday from 1:00-5:00 pm Eastern Time.
- Oct 30 & Nov 1: Getting Started with AI
- Nov 6 & Nov 8: Computing for AI
- Dec 4 & Dec 6: Python for AI
- Jan 8 & Jan 10: Deep Learning Foundations
This course provides a high-level overview of the concepts, history, and vocabulary of AI. You will get hands-on experience with simple online AI tools, experimenting with gathering data, and training a model.
In this course, you will learn about some of the tools recommended for building, testing, tweaking, and deploying AI models. You will learn about Jupyter Notebooks, Git, GitHub, and high-performance computing (HPC) environments.
Most hands-on artificial intelligence work is currently done using the Python programming language. As such, some understanding of Python and computer programming is needed to be successful in applying AI. That said, it is truly astounding how much complex AI research can be accomplished with a few lines of code!
The content in this workshop is aimed at beginning coders who may have never programmed before. As with the rest of the Practicum AI workshops, we use Jupyter Notebooks for the learning experience.
Deep learning is the focus of modern AI. Models have many layers and millions, or now approaching a trillion, parameters! This course breaks things down and introduces you to a small AI model to provide a conceptual understanding of how AI models are built, trained, and deployed.