Build the artificial intelligence skills you need to stay competitive in today’s digital economy. In this AI fundamentals course, you gain practical knowledge of how AI is used across industries and learn to work confidently with AI tools that employers increasingly expect.
Stark State’s AI fundamentals certificate prepares you to understand, apply and evaluate AI technologies used in real‑world workplaces. Developed with the help of Intel Corporation, this certificate focuses on building job‑ready AI knowledge and skills.
Major code: 5249 Business, Engineering, and Information Technologies Division Computer Science and Information Systems Department
The catalog in force is assigned to students based on the academic year they first applied to the college, and changes only when students change their major or request the change in writing. Refer to Policy No. 3357:15-13-28.
2026-27 Catalog
Effective Summer 2026
Some courses listed within the program may require a prerequisite or co-requisite.
Pre/Co-requisites will be listed within each course hyperlink below.
Refer to Policy No. 3357:15-13-04 and 3357:15-13-05
| Code | Title | Hours |
|---|---|---|
| CSE122 | Programming Logic and Problem Solving | 3 |
| AIN121 | Introduction to Artificial Intelligence | 3 |
| CPD121 | Data Modeling Database Design | 3 |
| Total Hours | 9 | |
Student Advising Notes
Academic Advising
Students should make an appointment to see their advisor before registering for classes each semester. They should have prepared a completed registration form, including courses they wish to take, prior to this meeting.
| First Semester | Hours | |
|---|---|---|
| CSE122 | Programming Logic and Problem Solving | 3 |
| AIN121 | Introduction to Artificial Intelligence | 3 |
| CPD121 | Data Modeling Database Design | 3 |
| Hours | 9 | |
| Total Hours | 9 | |
The classes in this certificate also apply toward the completion of a Computer Science and Engineering Degree (5250).
Program Learning Outcomes
This program is designed to prepare students to demonstrate the following learning outcomes:
- Identify the types of AI technologies that exist such as Machine Learning, Neural Networks, Computer Vision, and Natural Language Processing and describe how they are applied to industry.
- Discuss challenges surrounding AI including ethics, bias, regulations, and professional expectations.
- Demonstrate effective problem-solving and critical thinking skills by analyzing requirements, designing solutions, and implementing software.
- Design and implement relational databases by applying normalization principles, defining relationships among tables, and creating entity-relationship diagrams.