Learning objectives
- Describe foundational concepts of artificial intelligence, including neural networks, pattern recognition, and machine learning.
- Describe the role of Large Language Models (LLMs).
- Evaluate the efficacy of different AI tools.
- Identify and mitigate AI hallucinations.
View the topic and other offerings · Calendar
Building Blocks: Artificial Intelligence
Session ID: 14205
Self-paced Monthly Offering
Enroll from December 1, 2026, 4:00 pm CST through December 1, 2026, 6:00 pm CST. These dates describe the enrollment window, not a live meeting.
Building Blocks: Artificial Intelligence is designed to introduce participants to the fundamental concepts behind artificial intelligence (AI). Participants will learn about how AI “thinks,” what a Large Language Model (LLM) allows computers to do, and possible pitfalls of the programming along with possible solutions.
Session Details
- Delivery method
- Distance
- Venue
- Statewide or Multiple Locations
Statewide
In-State, ND 0000 - Instructional hours
- 2
- Cost per participant
- $0.00
- Graduate credit hours
- Eligible at any participating university.
- Trainers
- Katherine Larson — Lead trainer
Primary Learning Goal
Participants will understand the core principals and challenges of AI and evaluate AI tools effectively
Registration available
Eligibility, prerequisites and seat availability are checked when you register. Opening this page does not reserve a seat.