Applied Artificial Intelligence, Technical Certificate

OTHER INSTITUTIONAL REQUIREMENTS

• IVYT 115 - Student Success - Information Technology CREDIT HOURS MIN: 1

PROFESSIONAL/TECHNICAL CORE

• INFM 109 - Informatics Fundamentals CREDIT HOURS MIN: 3
• DBMS 110 - Introduction to Data Analytics CREDIT HOURS MIN: 3
• SDEV 120 - Computing Logic CREDIT HOURS MIN: 3
• SDEV 140 - Introduction to Software Development CREDIT HOURS MIN: 3
• SVAD 150 - Cloud Foundations CREDIT HOURS MIN: 3
• SDEV 220 - Software Development Using Python CREDIT HOURS MIN: 3
• AAIT 110 - Artificial Intelligence Essentials CREDIT HOURS MIN: 3
• AAIT 212 - Machine Learning CREDIT HOURS MIN: 3
• AAIT 216 - Natural Language Processing CREDIT HOURS MIN: 3
• AAIT 270 - Applied AI Projects CREDIT HOURS MIN: 3

•  

• Pick one (1) of the following:

• AAIT 261 - AWS AI Practitioner Certification CREDIT HOURS MIN: 1
• SVAD 151 - Workforce Preparation - AWS Cloud Practitioner CREDIT HOURS MIN: 1
• SVAD 152 - Workforce Preparation - CompTia Cloud+ CREDIT HOURS MIN: 1
• SVAD 153 - Workforce Preparation - Azure Fundamentals CREDIT HOURS MIN: 1

TOTAL CREDITS: 32

Symbol Key

^ Capstone Course 

DEGREE OUTCOMES

1. Design AI-enabled solutions that incorporate data preparation, model development, and workflow considerations to address organizational problems.
2. Apply machine learning and artificial intelligence techniques using appropriate programming languages and contemporary AI frameworks.
3. Analyze structured and unstructured data to generate insights that inform decision-making across functional areas.
4. Evaluate ethical, security, and responsible-use considerations in AI systems, including risks, fairness implications, and compliance requirements.
5. Articulate AI-driven findings, limitations, and recommendations to technical and non-technical stakeholders using professional documentation and presentation tools.