Certificate in Artificial Intelligence Engineering

Program Overview

Bay Atlantic University's Certificate in Artificial Intelligence Engineering equips students with advanced AI, machine learning, and deep learning skills within the engineering domain. The program's core requirements cover foundational concepts in AI, data structures, and algorithms. Graduates are prepared for entry-level positions as AI engineers, machine learning engineers, and data scientists, meeting the high demand for AI professionals in the Washington, D.C. area.

Program Outline

Degree Overview:

• Overview: The Certificate in Artificial Intelligence Engineering program at Bay Atlantic University (BAU) prepares students with advanced knowledge and skills in artificial intelligence (AI), machine learning, and deep learning in the engineering domain.
• Objectives: The program aims to train students to become highly skilled AI engineers who can develop and apply AI-based solutions within the engineering discipline.
• Program Description: The program focuses on various AI engineering frameworks and representations for inventing, tuning, and specializing AI structures and algorithms.
Students learn various AI aspects such as pattern recognition, machine learning, deep learning, natural language processing, computer vision, etc., fundamental to building systems that can intelligently interact with humans and other digital processes. The program will provide students with the opportunity to attain an undergraduate certificate that will enhance their opportunities in various positions within the AI engineering field.

Outline:

Core Requirements:

(18 Credits, 6 courses)

• CMPS 122 Introduction to Programming I (3 credits)
• CMPS 202 Data Structures and Algorithms I (3 credits)
• CMPS 205 Data Structures and Algorithms II (3 credits)
• CMPS 310 Introduction to Artificial Intelligence (3 credits)
• CMPS 322 Machine Learning and Pattern Recognition (3 credits)
• CMPS 411 Fundamentals of Deep Learning (3 credits)

Assessment:

The assessment methods used in the program include:

• Graded assignments (Written and Hands-on assignments)
• Exams
• Final Project
• AI Development Projects

Teaching:

Careers:

The program prepares students for career positions at the entry level, such as:

• AI Engineer
• Machine Learning Engineer
• Analytics Research Scientist
• Data Scientist Engineer
The market for AI engineering is continually growing worldwide, which places graduates in very high demand, especially in the Washington, D.C. area where BAU is located.