Overview and Award Outcomes
Overview
In a rapidly evolving tech landscape, Data Modeling (DM), Machine Learning (ML), and Artificial Intelligence (AI) have become essential to many industries. As businesses increasingly rely on AI-driven insights, roles such as AI Engineer, Data Scientist, and Prompt Engineer are growing in demand. This award provides students with a solid foundation in relational (SQL) and non-relational (NoSQL) databases, machine learning, neural networks, and AI algorithms.
Students will gain practical experience with programming languages like HTML/CSS, JavaScript, Python, and C#. Core areas of study in this program provide a solid foundation in AI concepts, machine learning techniques, and data handling for AI-driven applications. Graduates will be well-prepared for entry-level roles or for enhancing their current technical roles, positioning them to support their organization�s AI needs and aspirations. With this foundation, they�ll be ready to help drive data-driven projects and contribute to the growing need for Artificial Intelligence in modern business practices as they continue to advance their skills.
Award Outcomes
- Classify foundational Artificial Intelligence (AI) algorithms
- Examine essential data modeling techniques for AI applications
- Investigate Neural Network techniques in AI context
- Utilize software applications for data management
- Apply AI concepts using industry standard software tools
- Design a basic application that incorporate AI concepts