Overview

Instructor(s): Keegan Smith

Time: March 2026

Location: Online using Zoom

Prerequisite(s): Active ACCESS ID

This course is a hands-on introduction to using the Jupyter AI Assistant on Texas A&M's ACES cluster. Attendees will launch a session via Open OnDemand, load the provided notebook, choose the HPRC-hosted model, and complete four short labs.

A Registration button will appear here when registration has been opened.

Course Materials

The presentation slides will be made available as downloadable PDF files.

• Primer: AI Coding Assistant (Fall 2025): PDF

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Participation

During the training, attendees are expected to log in to an HPRC cluster using their own computer and complete the instructor-led examples and exercises.

Learning Objectives

In this course, participants will:

• Launch a session on ACES via Open OnDemand
• Load a provided Jupyter notebook
• Set up a session
• Use AI-assisted debugging
• Build MNIST classifiers in PyTorch and TensorFlow