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.
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 our “Getting Started with AI” course. If you do not have a SCINet account, you may request one.
Pre-Workshop Instructions:
To help minimize technical issues and delays at the start of the workshop, please try the following three tests prior to the workshop.
- Logging on to Atlas Open OnDemand (OOD): Please confirm you can successfully log in to Atlas OOD with your SCINet account (see instructions here). If you are successful, you will be able to see the Atlas OOD home page.
- Atlas Shell Access: When on Atlas OOD, click on the top navigation bar: “Clusters” > “Atlas Shell Access”. A new tab will appear that looks like a shell terminal (e.g., like PowerShell). Please confirm you do not receive any error messages or requests to re-authenticate and that the final line looks like “[firstname.lastname@atlas-login-1 ~]$”.
- JupyterLab Server: Back on the main Atlas OOD tab, click on the top or side navigation bar: “Interactive Apps” > “JupyterLab Server”.
- Fill the input fields with the following (input fields not listed below can be left at their default values):
- Partition: atlas
- Number of hours: 1
- Number of nodes: 1
- Number of tasks: 1
- Additional Slurm Parameters: (leave empty)
- Click the “Launch” button.
- Wait a moment for the job card to update from “Queued” to “Running”.
- Please confirm that clicking on the “Connect to JupyterLab Server” button opens a new tab with the JupyterLab Server interface.
- Fill the input fields with the following (input fields not listed below can be left at their default values):
Workshop Series
- Computing for AI: August 19, 2025
- Python for AI: August 27 & 28, 2025
- Deep Learning Foundations: September 3 & 4, 2025