Artificial Intelligence (CEC)

Prepare for the future of work by building in-demand AI skills. With Stark State’s artificial intelligence (AI) certificate, you’ll gain practical insight into how AI is transforming industries and build the confidence to use AI tools that are increasingly valued by employers.

Stark State’s AI certificate covers core AI concepts and practical applications while providing more in-depth fundamentals of development query language.

Major code:  5248
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

CSE122Programming Logic and Problem Solving3
CSE229.Net Development3
CSE235Python Development3
CSE237Advanced Python Development3
AIN121Introduction to Artificial Intelligence3
CPD121Data Modeling Database Design3
CPD123Structured Query Language3
Total Hours21

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.

Plan of Study Grid
First SemesterHours
CSE122 Programming Logic and Problem Solving 3
AIN121 Introduction to Artificial Intelligence 3
CPD121 Data Modeling Database Design 3
 Hours9
Second Semester
CSE235 Python Development 3
CPD123 Structured Query Language 3
 Hours6
Third Semester
CSE229 .Net Development 3
CSE237 Advanced Python Development 3
 Hours6
 Total Hours21

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.
  • Demonstrate proficiency writing, modifying, compiling, debugging, and executing Python programs.
  • Design and implement relational databases by applying normalization principles, defining relationships among tables, and creating entity-relationship diagrams. 
  • Demonstrate proficiency using structured query language to define new database objects and manage and manipulate data within a database.
  • Create SQL programming constructs such as views, stored procedures, user-defined functions and indexes.