Graduate Certificate in AI Engineering

 

Build Your Future with a Certificate in AI Engineering

Artificial Intelligence will fundamentally change the way we work, regardless of our industry. Whether you’re looking to change careers, gain new skills, or hone current skills, West Chester University’s graduate certificate in AI Engineering can help!

WCU’s 9-credit Graduate Certificate in AI (Artificial Intelligence) Engineering program offers a flexible yet rigorous introduction to the theory and practice of artificial intelligence and machine learning. You’ll go beyond surface level tools and builds both your foundational understanding and applied problem-solving across model development, data-driven decision making, perception systems, and human-centered AI. Be confident that you’ll learn and recognize the assumptions, limitations, and trade-offs behind AI systems, a skill that sets you apart in professional practice.

The curriculum emphasizes both foundational understanding and applied problem-solving, covering topics such as model development, data-driven decision making, perception systems, and human-centered AI. Courses are designed to move beyond surface-level tool usage, helping students understand the assumptions, limitations, and trade-offs inherent in AI systems, an increasingly critical skill in professional practice.

You’ll gain hands-on, applied experience while developing the conceptual foundations necessary for long-term growth. Our graduates are prepared not only to apply modern computing techniques, but to critically evaluate and adapt them within rapidly evolving technological environments or pursue further graduate study.

The graduate certificate in AI Engineering can be completed as a standalone credential, can be paired with our graduate certificate in Cloud Engineering, or can be embedded in our Master of Science in Computer Science program.

 

Benefits of Earning Your Graduate Certificate at West Chester University

Flexible Coursework

Designed with working professionals and career changers in mind, the graduate certificate in AI Engineering balances accessibility with academic rigor. Evening class and online modality (with in-person alternative) provide the flexibility to pursue your education without putting your career on hold.

At just 9 credits with fully online and hybrid learning options, you’ll be able to complete the program in 2 semesters (3 if you need the Programming Fundamental Graduate Certificate first).

Accomplished Faculty and Small and Accessible Classes

Small classes ensure personalized attention from faculty and an opportunity to connect with classmates through discussion boards, presentations, and group projects. Our faculty pay careful attention to course design to expose students to both the high-performance aspect of modern machine learning models on supercomputers and the ability to replicate these techniques at smaller scale on personal computers. This resulting in modern and practical lecture contents that are applicable beyond the scope of the classes.

Small classes ensure personalized attention from faculty and an opportunity to connect with classmates through discussion boards, presentations, and group projects. Even online courses at WCU include hands-on opportunities and networking potential.

Affordable Tuition

Affordability is part of WCU’s mission and our tuition is among the most affordable in the region. To help put your graduate studies within reach, WCU also offers financial aid, employee reimbursement options, payment plans, and graduate assistantships.

Personalized Career Advising

As a graduate student at WCU, you’ll have full access to the Twardowski Career Development Center (CDC). The experts at the CDC will help you explore career options, write your résumé, perfect your interviewing skills, and create a job search strategy. The CDC also hosts employment fairs on campus throughout the year.

 

What Can You Do with a Graduate Certificate in AI Engineering?

Our program helps students think critically in an evolving technological environment. As an AI engineer you might develop, train, and deploy machine learning models and AI systems to solve complex problems.

Key roles include model building and training neural networks and algorithms, creating data pipelines and infrastructure for model consumption, transitioning models from development to production environments, working on system optimization, and working with Large Language Models and generative AI.

According to Glassdoor, the average salary range for an AI Engineer is $114,000 - $180,000. Multiple sources name AI engineering as number one in hiring growth over the last several years.

Key growth sectors include finance, healthcare, energy and infrastructure, manufacturing and aerospace, media and communications, and cybersecurity.

 

What Will You Study as a Student in the AI Engineering Certificate Program?

Our graduate certificate in AI Engineering is 9-credits and includes coursework in information visualization, computer vision, and machine learning. Together, these three courses form the foundation of your skillset. The certificate can be completed as a standalone credential, combined with our AI Engineering certificate or embedded within our Master of Science in Computer Science to provide you with a concentration.