Artificial Intelligence Technology
Shape the Future with Artificial Intelligence
Artificial Intelligence (AI) is one of the fastest-growing fields in technology, revolutionizing the way businesses, organizations, and industries operate. From voice assistants and recommendation engines to fraud detection and medical diagnostics, AI is embedded into our daily lives. The demand for professionals who can develop and manage these intelligent systems is growing rapidly.
The Artificial Intelligence Technology Degree program provides students with a strong foundation in AI, machine learning, data science, and generative technologies. Students will explore how machines can simulate human intelligence by processing large data sets, identifying patterns, and making decisions.
Whether you’re interested in building intelligent chatbots, training deep learning models, or designing AI-driven products, this program prepares you with the hands-on skills and knowledge to thrive in an AI-powered world.
What You’ll Learn
Students will study the core principles of artificial intelligence and machine learning, resulting in an Associate of Applied Science degree. You will learn how to:
- Develop algorithms that enable machines to learn and adapt
- Build and train models using machine learning and deep learning frameworks
- Program intelligent systems that process and analyze large data sets
- Design chatbot and natural language processing (NLP) applications
- Work with generative AI tools to create new content and solve real-world problems
- Apply statistical, mathematical, and computational techniques to real data
- Understand the ethical, social, and legal considerations of AI
Hands-on labs and projects will allow students to apply what they learn in simulated real-world environments, preparing them for a range of entry-level roles in AI and related fields.
Career Opportunities
AI professionals are employed across a broad range of sectors, including technology, finance, healthcare, education, logistics, and more. Graduates of this program will be prepared for a variety of in-demand roles in AI and data-driven industries. Potential job titles include:
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- Computer Vision Engineer
- Natural Language Processing (NLP) Engineer
- AI Research Scientist
- AI Product Manager
- Business Intelligence Professional
- Deep Learning Engineer
Course Information
Fall Semester I
| Course | Title | Class | Lab | Credit |
|---|---|---|---|---|
| CIS 110 | Introduction to Computers | 2 | 2 | 3 |
| CSC 113 | Artificial Intelligence Fundamentals | 2 | 2 | 3 |
| ENG 111 | Writing and Inquiry | 3 | 0 | 3 |
| MAT 152 | Statistical Methods 1 | 3 | 2 | 4 |
| SBS | Pick List | 3 | 0 | 3 |
| Total | 16 |
Spring Semester I
| Course | Title | Class | Lab | Credit |
|---|---|---|---|---|
| CCT 112 | Ethics in High Technology | 3 | 0 | 3 |
| CSC 112 | Machine Learning Computation | 2 | 3 | 3 |
| CSC 114 | Artificial Intelligence I | 2 | 3 | 3 |
| CSC 121 | Python Programming | 2 | 3 | 3 |
| MAT 171 | Precalculus Algebra | 3 | 2 | 4 |
| Total | 16 |
Summer Semester I
| Course | Title | Class | Lab | Credit |
|---|---|---|---|---|
| COM 120 | Intro to Interpersonal Com | 3 | 0 | 3 |
| CSC 115 | Machine Learning 1 | 2 | 3 | 3 |
| HUM/FA | Pick List | 3 | 0 | 3 |
| Total | 9 |
Fall Semester II
| Course | Title | Class | Lab | Credit |
|---|---|---|---|---|
| ACA 122 | College Transfer Success | 0 | 2 | 1 |
| CSC 117 | Artificial Intelligence Tools I | 2 | 3 | 3 |
| CSC 128 | Chatbot Programming I | 2 | 3 | 3 |
| CSC 214 | Artificial Intelligence II | 2 | 3 | 3 |
| CSC 221 | Advanced Python Programming | 2 | 2 | 3 |
| Total | 13 |
Spring Semester II
| Course | Title | Class | Lab | Credit |
|---|---|---|---|---|
| CSC 161 | Deep Learning | 2 | 3 | 3 |
| CSC 215 | Machine Learning II | 2 | 3 | 3 |
| CSC 217 | Artificial Intelligence Tools II | 2 | 3 | 3 |
| CSC 228 | Chatbot Programming II | 2 | 3 | 3 |
| Total | 12 |
TOTAL CREDITS: 66
