Artificial Intelligence - A.S. Degree
Description The A.S. in Artificial Intelligence (AI) equips students with foundational knowledge and practical skills in AI development, deployment, and ethical use. This program is interdisciplinary with courses in computer science, information systems, AI, and various other fields. The program emphasizes core concepts such as machine learning, data processing, neural networks, and AI applications in various industries. Objectives include enabling students to solve real-world problems by designing AI solutions, fostering critical thinking in data-driven environments, and preparing graduates for advanced education or entry-level positions in AI-related fields. Program Learning Outcomes Upon
Courses
- AI 1 — Artificial Intelligence: Prompt Engineering and AI Systems
- AI 2 — Gen AI & Cloud Foundations
- AI 3 — Ethics in AI and Technology
- AI 4 — Machine Learning Foundations
- AI 5 — Certified Machine Learning Engineer Associate
- AI 6 — Accelerated Computing and CUDA Architecture
- AI 7 — AI in Security & IT
- AI 8 — Deep Learning Engineering and Design
- AI 9 — Natural Language Processing Engineering & Design
- COMPSCI 10 — Introduction to Data Science
- COMPSCI 11 — Python Data Analytics
- COMPSCI 20 — Big Data Analytics
- COMPSCI 4 — Discrete Structures
- COMPSCI 5 — Programming Concepts and Methodology I (Python)
- ITIS 40 — Computer Hardware and CompTIA A+ Certification Preparation
- ITIS 80 — Introduction to Database & Database Management Systems