Your coursework dives directly into the mechanics of artificial intelligence. You will understand core AI and machine learning concepts and learn how to apply AI algorithms to real-world challenges. Through hands-on learning, you will work with real-world tools and datasets to design and fine-tune AI algorithms.
Program Overview
The field of artificial intelligence is experiencing unprecedented growth. This certificate in Artificial Intelligence Engineering blends cutting-edge theory with hands-on machine learning applications. Located in the heart of Washington, D.C., you will learn how to design intelligent systems, analyze vast datasets, and solve complex problems facing tech companies, federal agencies, and global organizations. Prepare to shape tomorrow’s technology by earning your Certificate in AI Engineering.
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
True innovation in artificial intelligence happens when you bridge the gap between theory and real-world application. Our practitioner-driven curriculum is designed to immerse you directly into hands-on machine learning challenges. Instead of just studying algorithms, you will actively design and fine-tune them using real-world tools, building the exact technical capabilities required to stand out and succeed in the rapidly growing tech industry.
01
CORE AI & MACHINE LEARNING
02
ETHICAL DESIGN & COMMUNICATION
True AI expertise goes beyond programming to include the responsible implementation of technology. In this program, you will learn to develop responsible and ethical AI solutions. Additionally, you will build the skills to communicate AI solutions clearly to diverse audiences, while gaining valuable networking opportunities to connect with faculty, peers, and industry professionals.
03
ACCELERATED DEGREE PATHWAYS
This program offers robust career preparation by building the specific skills employers demand. Furthermore, it provides a seamless educational pathway; the 18 core credits you earn can easily transfer directly into a Bachelor of Science in Information Technology (BSIT) or a Bachelor of Science in Software Engineering (BSSWE).
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.
$131,450
2024 Median Pay*, Software Developers, Quality Assurance Analysts, and Testers
$140,910
2024 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
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Financial Aid Options
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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”
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