Integrating AI - Introduction Workshop


Course number : CSFT-9003    ID : 9954    Section Number : CC001

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Discover the transformative power of Artificial Intelligence (AI) in our immersive workshop designed for professionals across industries. This course will provide a comprehensive overview of AI technologies, applications, and ethical considerations. Participants will learn practical strategies for incorporating AI tools to enhance productivity, decision-making, and innovation. Through hands-on exercises, real-world case studies, and expert insights, attendees will gain the skills needed to leverage AI effectively in their daily workflows. Join us to stay ahead of the curve and unlock the full potential of AI in your professional journey.

Class Details

4 Session(s)
Weekly - Tue, Thu

Location
CTR-A

Instructor
Ellen Lux 

CEUs : 0.8

 

Notice

Please read:  In this class, you’ll need a Macomb account with Multi-Factor Authentication (MFA) enabled to work in the computer lab. New Students: Your MyMacomb login is different from the account you created during registration. After you complete your registration, look for an email from studenttechsupport@macomb.edu. It includes your username and a temporary password for MyMacomb. You must activate your account within 7 days of receiving the email. If not, your account will be suspended for security reasons. Current Students: Use your existing MyMacomb account to log in. If you do not receive the email in 7 days after registering for this class: Visit pwm.macomb.edu to reclaim your account using the personal email you used at registration or call Student Tech Support at 586-445-7999, Option 8, Option 1. IMPORTANT: IF YOU DON’T SET UP YOUR ACCOUNT BEFORE CLASS STARTS, YOU MAY NOT BE ABLE TO PARTICIPATE RIGHT AWAY.

Tuition: 

$119.00


Registration Closes On
Monday, October 13, 2025 @ 11:59 PM

Schedule Information

Date(s) Class Days Times Location Instructor(s) Instructional Method
10/14/2025 - 10/23/2025 Weekly - Tue, Thu 06:00 PM - 08:00 PM Clinton Township, CTR-A  Map, Room: 207 Ellen Lux  Lecture