- Personalized Guidance
Our admission officers guide you to the right programs. - Timely Responses
Swift and informative communication for a stress-free admission journey. - Exclusive Insights
Access exclusive updates, events, and opportunities at BAU.
Program Overview
Artificial intelligence is not theoretical speculation—it is an active engineering discipline reshaping global industry. The Certificate in Artificial Intelligence Engineering delivers a focused, rigorous curriculum in applied machine learning, neural architectures, and intelligent systems design. Positioned steps from the White House, federal research agencies, and enterprise tech hubs, the program provides immediate technical upskilling without delay. Students learn to construct production-ready models, analyze complex data streams, and engineer scalable AI solutions that address genuine operational challenges across the public and private sectors.
Duration
1 Year
Flexible Schedule
Format ⓘ
Flexible
On-Campus
Online
Credits
18
Total credit hours
Average Class Size
18
Students per class
Your Journey Starts Here
A technical certificate should deliver operational command, not basic familiarity. At Bay Atlantic University, technical training connects directly to the systems, tools, and institutions driving modern enterprise. Here, the capital’s tech ecosystem isn’t context—it’s coursework.
01
CORE AI & MACHINE LEARNING
Mastering machine learning requires building and deploying models, not merely studying algorithms. The curriculum moves students immediately past introductory theory into the mechanics of applied intelligence: supervised and unsupervised learning pipelines, neural network architectures, model evaluation, and algorithmic fine-tuning. Utilizing modern developer frameworks and real-world datasets inside the CyberEdge Innovation Hub, students learn to train, optimize, and deploy intelligent algorithms capable of solving complex computational problems under production constraints.
02
ETHICAL DESIGN & COMMUNICATION
Technical capability is incomplete without architectural responsibility. As autonomous systems enter critical civic and enterprise infrastructure, organizations demand engineers who design for fairness, transparency, and regulatory compliance. Guided by scholar-practitioners working at the intersection of technology and governance, students learn to audit algorithms for bias, establish defensive guardrails, and translate technical architectures into clear, defensible strategies for executive leadership and cross-functional teams.
03
ACCELERATED DEGREE PATHWAYS
Education should build momentum, not create dead ends. Designed for maximum career acceleration, this credential delivers immediate workforce value while serving as an integrated stepping stone. All 18 core credits earned in this program transfer directly into BAU’s Bachelor of Science in Information Technology (BSIT) or Bachelor of Science in Software Engineering (BSSWE). Backed by NECHE accreditation, students gain an industry-recognized credential today while creating a seamless, debt-conscious pathway toward a full bachelor’s degree tomorrow.
Your Dream Career Awaits
At BAU, located at the nation’s doorstep, you will have direct access to internship, networking, and job opportunities that can accelerate your career. Hands-on learning experiences allow you to work with real-world tools and datasets to design and fine-tune AI algorithms. Through the Cyber Edge Innovation Hub, students have the opportunity to utilize powerful computing resources and leverage experiential learning to build the specific skills employers demand. With organizations increasingly relying on AI, your skills will be in high demand, opening doors to a variety of tech-driven roles.
$134,040
2025 Median Pay*, Software Developers, Quality Assurance Analysts, and Testers
$140,300
2025 Median Pay*, Computer and Information Research Scientist
Other Career Opportunities: AI Engineer • Machine Learning Engineer • Data Scientist • Natural Language Processing Specialist
*Source: U.S. Bureau of Labor Statistics.
Explore Career ServicesTake the First Step
Program Curriculum
Comprehensive curriculum designed for real-world artificial intelligence challenges
Admission Prerequisite: Fundamental of Algebra or Take MATH 104 College Algebra at BAU in the first semester.
18+
Credit Hours
2
Bachelor’s Pathways
40+
Courses
Bachelor of Science in Information Technology
Bachelor of Science in Information Technology
Bachelor of Science in Software Engineering
Bachelor of Science in Software Engineering
Tuition & Financial Aid
A great education shouldn’t mean a lifetime of debt.
Get a transparent, personalized estimate of your total cost, including tuition, fees, housing, and more, so you can plan with confidence.
Financial Aid Options
Check out here for more scholarship & tuition assistance programs
Tuition Assistance
Up to $30,000
DMV Tuition Assistance
Up to 60%
Payment Plans
0% interest
Application Deadlines
Rolling admissions with multiple intake periods throughout the year. Domestic and transfer applications may continue to be reviewed after these deadlines on a rolling basis, subject to program availability. New students must complete registration by the census date for the applicable term; otherwise, they will not be eligible to register.
Open
Spring 2027
Start Date
January 19, 2027
Deadline to Apply
December 1, 2026
Coming Soon
Summer 2027
Start Date
June 1, 2027
Deadline to Apply
April 1, 2027
Future
Fall 2027
Start Date
August 18, 2027
Deadline to Apply
July 1, 2027
Meet Your Program Chair
In this highly connected world, technology leaders must think innovatively and act responsibly. Our faculty incorporates critical topics such as intelligent systems design, secure network architectures, and global data strategies, preparing students to make technical decisions aiming not only toward optimal system performance but also to make a positive, lasting impact on the digital environment and society.
Pipop Nuangpookka, Ph.D.
Chair of the Information Sciences and Engineering
EDUCATION
Doctor of Science in Cybersecurity
RESEARCH FOCUS
Non-Destructive Method of Detecting Hardware Attack, PII Security Controls, Web Server Protection, and Bilingual Translator Programming
HIGHLIGHTS
-
- Co-authored scholarly papers published in the Journal of Computing Sciences in Colleges/ACM digital library
- Key publications include “Hardware-Tampering Security Risks in the Supply Chain” and “Fileless Malware and Programmatic Method of Detection”
Pipop Nuangpookka, Ph.D.
Chair of the Information Sciences and Engineering
EDUCATION
Doctor of Science in Cybersecurity
RESEARCH FOCUS
Non-Destructive Method of Detecting Hardware Attack, PII Security Controls, Web Server Protection, and Bilingual Translator Programming
HIGHLIGHTS
-
- Co-authored scholarly papers published in the Journal of Computing Sciences in Colleges/ACM digital library
- Key publications include “Hardware-Tampering Security Risks in the Supply Chain” and “Fileless Malware and Programmatic Method of Detection”
