Artificial Intelligence and Machine Learning

The Associate in Applied Science (AAS) in Artificial Intelligence and Machine Learning focuses on building machine learning models that can be used for predicting, making decisions and enhancing human capabilities. The program prepares students for entry level positions in a variety of fields using artificial intelligence, including the information technology, automotive, healthcare, aerospace, industrial, and manufacturing industries. 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 also includes coursework in computer programming, math, engineering, and statistics.

Details

Field of Interest
Science, Technology, Engineering and Mathematics
Degree Type
Associate in Applied Science (AAS)
Academic Plan
Artificial Intelligence and Machine Learning (DEG)
Academic Plan Code
3891
Total credits required
61-76
Catalog Year
2025-2026
Effective Term
Summer 2025
Notes

Students must earn a grade of C or better in all courses within the program.

What You'll Learn
  • 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.
  • Apply artificial intelligence (AI) project development and machine learning life cycle to address social and business issues, opportunities, and problems.
  • Apply statistical analysis and machine learning algorithms to predict usefulness of artificial intelligence (AI) programming solutions.
  • Use appropriate programming languages to implement artificial intelligence (AI) solutions.
  • Communicate in varied settings, orally and visually and in writing, in a culturally responsive manner.
  • Collaborate with diverse individuals and teams to design and implement artificial intelligence and machine learning solutions.
  • Evaluate issues of bias, culture, environment, ethics, regulations, and professional expectations in the field of artificial intelligence (AI) and machine learning.
  • Apply relevant knowledge, skills, and habits of mind to seek career opportunities in the field.
Required Courses
Course # Course Title Credits
Credits: 35-40
AIM100 Introduction to Artificial Intelligence 3
AIM110 Introduction to Machine Learning 3
AIM210 Natural Language Processing 3
AIM220 Artificial Intelligence for Computer Vision 3
AIM230 Artificial Intelligence for Business Solutions 3
AIM240 Artificial Intelligence Capstone Project 3
CIS105 Survey of Computer Information Systems (3) OR
May be waived by permission of the Program Director 0-3
CIS119DO Introduction to Oracle: SQL (3) OR
CIS276DA MySQL Database (3) OR
CIS276DB SQL Server Database (3) 3
CIS156 Python Programming: Level I 3
ECE102 Engineering Analysis Tools and Techniques 2
ECE103 Engineering Problem Solving and Design 2
FYE101 Introduction to College, Career and Personal Success (1) OR
FYE103 Exploration of College, Career and Personal Success (3) 1-3
MAT206 Elements of Statistics 3
MAT225 Elementary Linear Algebra 3
Restricted Electives
Course # Course Title Credits
Credits: 0-3
Select a programming language from below that best aligns with academic and professional goals (to complete the minimum total program credits required for this degree) in one of the following areas:
CIS150 Programming Fundamentals 3
CIS150AB Object-Oriented Programming Fundamentals 3
CIS159 Visual Basic Programming I 3
CIS162++ Any C Programming: Level I course 3
CIS163AA Java Programming: Level I 3
CIS165++ Any Mobile Application Development course 3
CSC100++ Introduction to Computer Science (C++) 3-4
CSC110++ Introduction to Computer Science (Java) 3-4

At Maricopa, we strive to provide you with accurate and current information about our degree and certificate offerings. Due to the dynamic nature of the curriculum process, course and program information is subject to change. As a result, the course list associated with this degree or certificate on this site does not represent a contract, nor does it guarantee course availability. If you are interested in pursuing this degree or certificate, we encourage you to meet with an advisor to discuss the requirements at your college for the appropriate catalog year.

Read the official description