Overview

The program will cover an introduction to AI, ML, and DL and their differences; supervised and unsupervised ML; reinforcement learning; back propagation neural network in AI; expert system in AI; ethics and AI; and AI application examples in various industries.

Learning Objectives

1. What is AI and what is its history?
2. Understanding AI principles
3. Algorithms and applications that drive AI and ML
4. AI applications in the real-world
5. Defining DL and its applications
6. Understanding biases and fairness of AI
7. Responsible AI practices

Who Should Attend?

This class is focused the roles of business users, liaisons, and product owners. It is appropriate for:

• Students
• IT professionals
• Entrepreneurs
• Career changers
• Enthusiasts with a passionate for technology
• Medical professionals

Course Prerequisite

No prior experience in AI or ML is required, but a basic understanding of programming concepts is beneficial. The course is structured to accommodate
participants with varying levels of technical expertise, but is primarily designed for beginners with more insights for those with prior knowledge in the field.

Assessment

There will be a one-hour open-book exam with 50 multiple choice questions at the end of the program. A minimum of 37 questions need to be answered correctly to earn the certificate.

Continuing Education Units

Continuing Education Units (CEUs) are awarded based on a standard of one unit per ten (10) hours of classroom contact.

Note: The University reserves the right to cancel courses due to insufficient enrollment or other unforeseen circumstances.

Schedule (Remote via Zoom delivery)

A-I 5000: Five-week course, 15 hours (1.5 CEUs)
Dates: Mondays, April 21 - May 19, 2025
Time ​​​​​: 6:00 - 9:00 p.m.
Cost: $1099 ($100 early registration discount if registered by Sept. 30)

Register today!