Artificial Intelligence and Machine Learning
This award is not eligible for Financial Aid
The Certificate of Completion (CCL) 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 provides the industry professional with the knowledge and skills used 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, and statistics.
Details
Field of Interest
Science, Technology, Engineering and Mathematics
Degree Type
Certificate of Completion (CCL)
Academic Plan
Artificial Intelligence and Machine Learning (CER)
Academic Plan Code
5897N
Total credits required
21-36
Catalog Year
2024-2025
Effective Term
Fall 2024
Admission criteria
This Certificate of Completion (CCL) is intended for industry professionals with the requisite experience as determined by the Program Director. To pursue this CCL, students must receive permission of the Program Director. Students who do not yet have the requisite experience cannot pursue the CCL option, and instead must pursue the Associate in Applied Science (AAS) in Artificial Intelligence.
Notes
This program is not eligible for Title IV Federal Financial Aid.
This Certificate of Completion (CCL) is a closed program that is available to industry professionals with the requisite industry experience or those with an associate or bachelor's degree in a related field. Speak to a Program Director for additional information.
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.
Career statistics
Successful completion of this certificate may lead to employment in a variety of different occupations and industries. Below are examples of related occupations with associated Arizona-based wages* for this certificate. Education requirements vary for the occupations listed below, so you may need further education or degrees in order to qualify for some of these jobs and earn the related salaries. Please visit with an academic advisor and/or program director for additional information. You can click on any occupation to view the detail regarding education level, wages, and employment information.
Computer and Information Research Scientists
$148,090 Show expanded career information for Computer and Information Research Scientists
Computer Programmers
$79,350 Show expanded career information for Computer Programmers
There are additional career opportunities associated with this certificate that do not have occupational data available for Arizona at this time. These occupations are listed below:
- Computer Occupations, All Other
- Software Developers, Applications
* Career and wage information provided by Pipeline AZ using data, reports, and forecasts which are generated using government data sources. Sources
Course Sequence by Term
The following is the suggested course sequence by term. Please keep in mind:
- Students should meet with an academic advisor to develop an individual education plan that meets their academic and career goals. Use the Degree Progress Report Tool in your Student Center to manage your plan.
- The course sequence is laid out by suggested term and may be affected when students enter the program at different times of the year.
- Initial course placement is determined by current district placement measures and/or completion of 100-200 level course and/or program requirements.
- Degree and transfer seeking students may be required to successfully complete a MCCCD First Year Experience Course (FYE) within the first two semesters at a MCCCD College. Courses include FYE101 and FYE103. Course offerings will vary by college. See an academic, program, or faculty advisor for details.
Part-time Sequence
Part-time status is 11 credit hours or less.
Term 1
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| AIM100 | Introduction to Artificial Intelligence | Critical course Gateway course | 3 | ||
| CIS105 | Survey of Computer Information Systems | May be waived by permission of the Program Director | CS | 0–3 | |
| MAT14+ or MAT15+ or MAT187 or MAT188 |
MAT14+ or MAT15+ or Precalculus or Precalculus | OR Appropriate District placement OR Permission of Department/Division Chair or Recommend students intending to transfer take MAT187 or MAT188 Precalculus | None or MA or None | 6 |
Term 2
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| CIS156 | Python Programming: Level I | Critical course May be waived by the permission of the Program Director | 0–3 | ||
| MAT206 | Elements of Statistics | Critical course | CS | 3 |
Term 3
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| AIM110 | Introduction to Machine Learning | Critical course | 3 | ||
| CIS119DO or CIS276DA or CIS276DB |
Introduction to Oracle: SQL or MySQL Database or SQL Server Database | May be waived by the permission of the Program Director | 0–3 |
Term 4
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| AIM210 | Natural Language Processing | 3 | |||
| AIM220 | Artificial Intelligence for Computer Vision | 3 |
Term 5
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| AIM230 | Artificial Intelligence for Business Solutions | 3 | |||
| AIM240 | Artificial Intelligence Capstone Project | 3 |
Course Area Key
Gateway Course = Generally the first major-specific course in a pathway.
Critical Course = A course that is highly predictive of future success in a pathway.
- CS = Computer/Statistics/Quantitative Application
- MA = Mathematics
Disclaimer
Students must earn a grade of C or better in all courses within the program.
Course Sequence total credits may differ from the program information located on the MCCCD curriculum website due to program and system design.
This certificate is not eligible for Title IV Federal Financial Aid.
View MCCCD’s official curriculum documentation for additional details regarding the requirements of this award (https://aztransmac2.asu.edu/cgi-bin/WebObjects/MCCCD.woa/wa/freeForm11?id=189341).
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.
Previous Catalog Years
The pathway map presented above is for the current catalog year and is the intended pathway map for new students. All previous catalog years for this pathway map are available at the link below.