2025-2026 Catalog and Student Handbook 
    
    Jul 10, 2025  
2025-2026 Catalog and Student Handbook

Artificial Intelligence and Machine Learning, CA


CODE: AIML-CT     |     TOTAL CREDITS: 33     |     FINANCIAL AID ELIGIBILITY: Eligible


This certificate is not intended for transfer to UNLV, UNR, or NSU.  Some of the courses may be eligible for transfer depending on the policies of the institution you are transferring to.  Students who wish to transfer should consult with their assigned advising unit.


ACADEMIC MAP: Map: CSN CA Artificial Intelligence and Machine Learning  



GAINFUL EMPLOYMENT INFORMATION
Important information about the educational debt, earnings, and completion rates of students who attended this program are located at www.csn.edu/gainful-employment.

DESCRIPTION
The Certificate of Achievement in Artificial Intelligence and Machine Learning (AI/ML) focuses on building machine learning models that can be used for predicting, making decisions, and enhancing human capabilities. Program content includes an introduction to artificial intelligence and machine learning, natural language processing, computer vision, and artificial intelligence for business solutions and other applications. The curriculum includes coursework in computer programming, math, and statistics. Upon successful completion of this certificate program, students will be able to gain entry-level jobs in the field of Artificial Intelligence (AI/ML).

COMPUTATION & HUMAN RELATIONS COMPONENTS

  • Computation: MATH 126 or 126E or above
  • Human Relations: CIT 105

NEED HELP WITH THIS CERTIFICATE OR SELECTING A COURSE?

  • For advising assistance, log into GoCSN (www.go.csn.edu), open the MyCSN app, and access your advising unit’s information from the advising notice in the communication center.
  • If you are on academic warning, probation or suspension, or financial aid warning or suspension, please see an Academic Counselor by visiting Counseling and Retention Services.

 

Student Learning Outcomes


  1. Apply common artificial intelligence (AI) concepts and methodologies, including neural networks/Deep Learning, machine learning, Natural Language Processing, Computer Vision, and data science, for analysis and decision making.
  2. Apply artificial intelligence (AI) project development and machine learning life cycle to address social and business issues, opportunities, and problems.
  3. Apply statistical analysis and machine learning algorithms to predict usefulness of artificial intelligence (AI) programming solutions.
  4. Collaborate with diverse individuals and teams to design and implement artificial intelligence and machine learning solutions.
  5. Evaluate issues of bias, culture, environment, ethics, regulations, and professional expectations in the field of artificial intelligence (AI) and machine learning.

General Education Requirements


TOTAL GENERAL EDUCATION CREDITS: 6


 

Mathematics (3-6 Credits)


NOTE: Your first college-level MATH course MUST be completed before reaching 30 total college-level credits.

  • or   or above
  • REMINDER: If a student does not place into the correct college-level MATH course, they are required to complete a preparatory or prerequisite course(s) or attempt to gain a higher score on the MATH placement exam.  Such preparatory or prerequisite courses are not part of the degree, may delay degree completion, and will cause the student to complete more credits then the total listed on this degree.

Communications (3 Credits)