Harper College
Artificial Intelligence and Cloud Computing

Associate in Applied Science: Artificial Intelligence & Cloud Computing

Two programmers working together on a project incorporating AI into their workplace.

Artificial Intelligence Career Overview

Job Titles: Machine Learning Specialist, Data Analyst, Database Administrator, Cloud Penetration Tester, and Network Security Specialist.

Study AI and Cloud Computing at Harper College

Prepare for a career in the ever-evolving fields of artificial intelligence and cloud computing with this 60-credit-hour degree program. The curriculum provides students with a strong theoretical and practical foundation of machine learning, artificial intelligence, and cloud computing. You'll be ready to adapt to the changes in the industry, with classes in natural language processing, Python programming, AWS cloud, and AI applications.

The rapid advancement of artificial intelligence and cloud computing technologies is fundamentally transforming various industries, leading to innovative applications that streamline processes, enhance productivity, and improve decision-making. These developments foster efficiency and create exciting opportunities for professionals eager to leverage technology for meaningful, real-world impact. As businesses increasingly adopt AI-driven solutions and scalable cloud services, there is a growing demand for skilled individuals who can navigate these cutting-edge fields and drive technological progress.

Upon graduation from the program, students will qualify for entry-level and specialist positions in tech, such as AI engineer, cloud architect, or data scientist. They will also be prepared to transfer to a four-year university to earn a bachelor's degree in a related major.

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A.A.S. Degree Program Plan

The 60 credit-hour Artificial Intelligence (AI) and Cloud Computing degree program prepares the graduate with a strong foundation in applied Artificial Intelligence, Machine Learning and Cloud concepts, techniques and applications. Artificial Intelligence is perceiving, synthesizing, and inferring information demonstrated by machines as opposed to intelligence displayed by human beings. Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power without direct management by the user. Upon successful completion of the program, students will be prepared for jobs in the AI and Cloud sectors.

List of required courses, broken down by semester, to complete the Associate in Applied Science degree in Artificial Intelligence and Cloud Computing.
Number Course Title Credits
First Semester Hours
AIC 101 Careers in Artificial Intelligence/Machine Learning/Cloud Computing 2
AIC 110 Introduction to Artificial Intelligence (AI) 3
AIC 140 Python Programming for AI 3
MTH 1011 Quantitative Literacy 3
NET 105 Information Technology Fundamentals 3
ENG 101 Composition I 3
  Hours 17
Second Semester
AIC 120 Introduction to Machine Learning 3
AIC 130 Applied Math for Artificial Intelligence 3
AIC 150 Introduction to Generative AI 2
NET 121 Computer Networking 3
PHI 130 Applied Ethics for Artificial Intelligence 3
  Hours 14
Third Semester
AIC 210 Natural Language Processing 3
AIC 220 Applications of Artificial Intelligence 2
CIS 211 IT Project Management 3
NET 280 Cybersecurity Fundamentals 3
Select one of the following speech communication courses: 3
SPE 101 Fundamentals of Speech Communication  
SPE 205 Small Group Communication/Team Work  
  Hours 14
Fourth Semester
AIC 230 Fundamentals of Azure 2
AIC 240 Amazon Web Services Cloud 2
AIC 250 Data-Centric Artificial Intelligence 3
AIC 260 Artificial Intelligence for Computer Vision 3
AIC 290 Artificial Intelligence (AI) Capstone 2
SOC 1012 Introduction to Sociology 3
  Hours 15
  Total Hours 60
1The mathematics requirement for this degree can be met with MTH 101 or higher. See your Program Coordinator about possible course substitutions.
2May substitute SOC 120, SOC 205, SOC 215, SOC 230 or SOC 235

Program Learning Outcomes

  • 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 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 and skills, and habits of mind to seek career opportunities in the field.

Related programs

Students interested in Artificial Intelligence and Cloud Computing may also be interested in:

For more information about AI and Cloud Computing courses at Harper College, contact Admissions Outreach at 847.925.6700.

Last Updated: 3/9/26