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.
Building Blocks: Artificial Intelligence
Topic ID: 1225
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.
Primary Learning Goal
Participants will understand the core principals and challenges of AI and evaluate AI tools effectively
- Instructional hours
- 2
- Cost per participant
- $0.00
- Participant range
- 1 minimum; 15 maximum
- Graduate credit hours
- Eligible; check the individual session for university restrictions.
These are topic defaults. Check individual session details before registering.
Available Sessions
Building Blocks: Artificial Intelligence
Self-paced enrollment: December 1, 2026 through December 1, 2026, 6:00 pm CST
2 instructional hours · Distance · In-State
Registration available
Building Blocks: Artificial Intelligence
Self-paced enrollment: January 1, 2027 through January 1, 2027, 6:00 pm CST
2 instructional hours · Distance · In-State
Registration available