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This program prepares students for entry-level roles in Artificial Intelligence (AI) by developing foundational knowledge in machine learning, data analysis, and ethical AI practices. Students learn to interpret data, build predictive models, and apply AI concepts to real-world business challenges. Coursework emphasizes strategic implementation of AI across diverse industries including technology, finance, healthcare, and manufacturing.
This 16 credit-hour certificate program prepares students for entry-level roles in Artificial Intelligence (AI) by developing foundational knowledge in machine learning, data analysis, and ethical AI practices. Students learn to interpret data, build predictive models, and apply AI concepts to real-world business challenges. Coursework emphasizes strategic implementation of AI across diverse industries including technology, finance, healthcare, and manufacturing.
| Number | Course Title | Credits |
|---|---|---|
| AIC 101 | Careers in Artificial Intelligence, Machine Learning, and Cloud Computing | 2 |
Description: Navigates students through the complexity of artificial intelligence (AI), machining learning (ML), and cloud computing careers. Provides an overview of major categories of work and job classifications, and an understanding of required credentials and existing programs of study to prepare for the workforce or transfer. Lecture Hours: 2 Lab Hours: 0 Contact Hours: 2 Class Schedule: Summer 2026 | Fall 2026 | ||
| AIC 110 | Introduction to Artificial Intelligence (AI) | 3 |
Description: Basic concepts and applications of artificial intelligence (AI), including AI project cycles. Focus on issues surrounding AI including ethics, bias, culture, regulations, and professional expectations. Lecture Hours: 3 Lab Hours: 0 Contact Hours: 3 Class Schedule: Summer 2026 | Fall 2026 | ||
| AIC 120 | Introduction to Machine Learning | 3 |
Description: Introduction to machine learning concepts and Python applications, including data acquisition, supervised and unsupervised learning, and data modeling. Lecture Hours: 2 Lab Hours: 2 Contact Hours: 4 Class Schedule: Summer 2026 | Fall 2026 | ||
| AIC 130 | Applied Math for Artificial Intelligence | 3 |
Description: Covers the basic concepts and topics relevant to develop an appreciation for the role mathematics plays in AI. In this application0based course, students will learn to apply the concepts of statistics, linear algebra, and probability to the AI Project Cycle. Lecture Hours: 3 Lab Hours: 0 Contact Hours: 3 Class Schedule: Summer 2026 | Fall 2026 | ||
| AIC 220 | Applications of Artificial Intelligence | 2 |
Description: This course is a project-based course that focuses on the application of AI/machine learning concepts, principles learned to solving one or more specific AI case study problems. Students will demonstrate competence to scope, acquire/explore data, model, evaluate, and deploy one or more AI/machine learning solutions in a team environment. Students will create and present code or no-code AI solutions. Lecture Hours: 1 Lab Hours: 2 Contact Hours: 3 Class Schedule: Summer 2026 | Fall 2026 | ||
| PHI 130 | Applied Ethics for Artificial Intelligence | 3 |
Description: Examines central ethical questions posed by the design and implementation of artificial intelligence (AI). Students draw on leading ethical frameworks and perspectives to navigate challenges posed by the introduction of AI to a variety of morally significant contexts, such as public safety, medicine, and criminal justice. Lecture Hours: 3 Lab Hours: 0 Contact Hours: 3 Class Schedule: Summer 2026 | Fall 2026 | ||
| Total Hours | 16 | |
Upon completion of the program, students will be able to:
Students interested in Artificial Intelligence and Cloud Computing may also be interested in:
For more information about artificial intelligence courses at Harper College, contact Admission Outreach at 847.925.6700.