Certificate in Artificial Intelligence

George Washington University is a large, research-focused institution in the heart of Washington, D.C., with a broad portfolio of undergraduate, graduate and professional programs in politics, international affairs, health sciences, business and the arts. Founded in 1821, GWU enrolls over 26,500 students, including a substantial international community, and offers more than 400 programs that pair academic rigor with opportunities to engage directly in public policy, diplomacy and civic leadership.

What sets GWU apart is its proximity to government agencies, international organizations and leading think tanks, which creates a steady stream of internships, research collaborations and experiential learning options. Faculty often bring policy experience into the classroom, and student organizations and centers support hands-on practice in advocacy, public health and data-driven research. International students find targeted services such as orientation, visa support and intercultural programs to ease their transition and enrich campus life.

Career services and alumni networks in the capital provide a clear pathway from study to employment, with strong placement in public, private and nonprofit sectors. Prospective students should highlight relevant experience, interest in public service and readiness to engage in an urban learning environment when applying. GWU is a fit for students who want a curriculum grounded in real-world impact, access to influential institutions and a supportive community for professional growth.

The Certificate in Artificial Intelligence is a non-degree program at George Washington University, taught in English, and lasting one year. This program prepares business leaders to take advantage of Artificial Intelligence innovations, focusing on machine learning and its business applications.

The curriculum includes foundational knowledge and hands-on skills in machine learning, deep learning, and embedded systems. Students apply these skills to AI business applications, including the Internet of Things (IoT), gaining practical experience.

Graduates can pursue careers as AI Engineers, Business Analysts, or Data Scientists. They can also work as IT Consultants, or IoT Specialists, applying their knowledge of AI and machine learning to drive business innovation.