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Course Description

Students learn to use generative and predictive AI tools to analyze problems, design practical solutions, and communicate value across business functions. Emphasis is placed on automation, data visualization, and feasibility testing for real organizational contexts.
 

Learner Outcomes

  • Use generative AI tools to automate or augment key business tasks.
  • Create prompt logs and design patterns for repeatable workflows.
  • Develop predictive dashboards that communicate performance insights.
  • Map automation opportunities with clear ROI and feasibility analysis.
  • Present findings and tool-fit recommendations to a business audience.
     

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in

Type
Online
Days
T
Time
5:00PM to 8:00PM
Dates
Jun 23, 2026 to Sep 08, 2026
Campus
Web-based Instruction
Schedule and Location
View Details
Contact Hours
40.0
Location
  • Web-based Instruction
Delivery Options
Online Live  
Course Fee(s)
Course Fee credit (4 units) $750.00
Potential Discount(s)
Available for Credit
4 units
CEUs
4 CEUs
Instructors

Section Notes

Steps to Enroll

How to Access Your Online Course on Canvas

Technology Requirements:

Students must have a personal laptop computer to participate in hands-on activities, complete assignments, and access course materials.

Recommended: A modern operating system (Windows 10+, macOS 11+), reliable internet access, webcam/mic for presentations, and the ability to access browser-based tools or install software if needed.

Note: Most tools used in the program will be web-based or no-code/low-code. Any required software installations (e.g., Python, IDEs, or cloud SDKs) will be guided by instructors during class or lab sessions - no prior installation or technical setup is expected before the course begins.

Late Registrations Notice: 

Self-enrollment will be available until 11:59 PM PT the Day before the 2nd class session. If you wish to enroll after that time, please contact PaCE Support at help@professional.ucsb.edu

Required Textbook(s):
Students are required to purchase the textbook(s) assigned by the instructor. The instructor will provide details to the class before the course start date.

No refunds after 7/5/26
All drops are charged a minimum $40 non-refundable administrative fee per course. The full Drop Policy is here.

Type
Class
Days
T
Time
5:00PM to 8:00PM
Dates
Sep 29, 2026 to Dec 08, 2026
Campus
UCSB Campus
Building
Kerr Hall
Room
Room 2166B
Schedule and Location
View Details
Contact Hours
40.0
Location
Delivery Options
In Class  
Course Fee(s)
Course Fee credit (4 units) $750.00
Potential Discount(s)
Available for Credit
4 units
CEUs
4 CEUs
Instructors

Section Notes

Steps to Enroll

How to Access Your Online Course on Canvas

Technology Requirements:

Students must have a personal laptop computer to participate in hands-on activities, complete assignments, and access course materials.

Recommended: A modern operating system (Windows 10+, macOS 11+), reliable internet access, webcam/mic for presentations, and the ability to access browser-based tools or install software if needed.

Note: Most tools used in the program will be web-based or no-code/low-code. Any required software installations (e.g., Python, IDEs, or cloud SDKs) will be guided by instructors during class or lab sessions - no prior installation or technical setup is expected before the course begins.

Late Registrations Notice: 

Self-enrollment will be available until 11:59 PM PT the Day before the 2nd class session. If you wish to enroll after that time, please contact PaCE Support at help@professional.ucsb.edu

Required Textbook(s):
Students are required to purchase the textbook(s) assigned by the instructor. The instructor will provide details to the class before the course start date.

No refunds after 10/11/26
All drops are charged a minimum $40 non-refundable administrative fee per course. The full Drop Policy is here.