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Certificate in Artificial Intelligence Engineering

CERTIFICATE OVERVIEW

COURSE DELIVERY METHOD DURATION TOTAL CREDITS 2025-2026 TUITION
ON CAMPUS ONLINE 1 YEAR 18 See Tuition & Fees Here

READY TO START YOUR FUTURE IN AI?

REQUEST INFORMATIONSEE ADMISSIONS REQUIREMENTS

AI ENGINEERING: THE FUTURE

Step into one of the fastest-growing STEM fields and learn to design, build, and optimize intelligent systems that power tomorrow’s innovations. BAU’s Artificial Intelligence Engineering certificate blends cutting-edge theory with hands-on experience in machine learning, deep learning, computer vision, and natural language processing.

Located in the heart of Washington, D.C., you’ll study just steps away from major tech companies, federal agencies, and global organizations – opening doors to internships, networking, and high-impact careers.

START YOUR AI JOURNEY
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WHAT YOU’LL GAIN

  • Understand core AI and machine learning principles.
  • Apply deep learning models to solve real-world challenges.
  • Use industry tools to design and fine-tune AI algorithms.
  • Build scalable, secure, and user-friendly AI applications.
  • Communicate AI solutions clearly to diverse audiences.
  • Develop AI with ethical and responsible practices.

COURSES IN THE CERTIFICATE

Core Requirements: 18 Credits (6 courses). A minimum grade of C required for all courses including the prerequisites. Admission Prerequisite: Fundamental of Algebra or Take MATH 104 College Algebra at BAU in the first semester.

Core Requirements: 18 Credits

 

Course Code Course Name Pre Requisite Credit
CMPS 122 Introduction to Programming I   3
CMPS 202 Data Structure and Algorithms I CMPS 122 3
CMPS 205 Data Structures and Algorithms II CMPS 202 3
CMPS 310 Introduction to Artificial Intelligence CMPS 202 3
CMPS 322 Machine Learning and Pattern Recognition CMPS 202 3
CMPS 411 Fundamentals of Deep Learning CMPS 202 3

Minimum Hardware Requirements

Students must have a computer system that meets the following general requirements: (Most computers are equipped with these components.)

  • Memory/RAM (8 GB or Higher)
  • Video Card
  • Sound Card
  • Speakers and Microphone
  • Headphones (not required but recommended)
  • Webcam
  • USB Ports
  • Network Card (10/100/1000 Mbps Ethernet)
  • Wireless Network Card (2.4 and 5.0 GHz)
  • Operating Systems: Windows 10 64-bit or Later, MacOS Catalina or Later

* For detailed descriptions of each course, please visit the BAU Academic Catalog.

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WHY CHOOSE THIS PROGRAM

  • Hands-On Learning – Work with real datasets, AI tools, and industry-relevant projects.
  • Prime Location – Study in Washington, D.C., surrounded by top tech companies, government agencies, and global organizations.
  • Career-Ready Curriculum – Learn skills that match today’s fastest-growing AI and tech industry needs.
  • Networking Opportunities – Connect with faculty, peers, and professionals in a thriving tech hub.
  • Certification Preparation – Gain the knowledge to succeed in globally recognized AI certifications.

LAUNCH YOUR AI CAREER

As a BAU Artificial Intelligence Engineering graduate, you’ll have the skills and credentials to excel in innovative, high-impact roles across industries. Potential career paths include:

  • AI Engineer
  • Machine Learning Engineer
  • Data Scientist / Data Engineer
  • Analytics Research Scientist
  • Computer Vision Engineer
  • Natural Language Processing (NLP) Specialist
  • Automation & Robotics Engineer

With Washington, D.C.’s thriving tech and research ecosystem at your doorstep, you’ll have direct access to internships, networking, and job opportunities that set you apart in the global market.

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OUR PRACTITIONER-DRIVEN TEACHING
WILL PROVIDE YOU A REAL-WORLD EXPERIENCE

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Dr. Pipop Nuangpookka

[email protected]

Dr. Pipop Nuangpookka is the Chair of Information Sciences and Engineering at Bay Atlantic University. He started teaching in Computer Science, Information Technology, and Cybersecurity disciplines in 2007. His research interests are Non-Destructive Method of Detecting Hardware Attack, PII Security Controls, Web Server Protection, and Bilingual Translator Programming. He is a co-author of scholarly papers published in the Journal of Computing Sciences in Colleges/ACM digital library, including “Hardware-Tampering Security Risks in the Supply Chain” and “Fileless Malware and Programmatic Method of Detection.

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