Explainable AI (XAI)

Duke University, located in Durham, United States, is a historic institution founded in 1838. As an international student, you'll find many advantages to studying here, including access to a diverse community of 3584 international students, a broad academic offering, and a unique blend of tradition and innovation. Specifically, you'll benefit from the university's strong research focus and its location in the heart of North Carolina's Research Triangle.

Duke University offers 213 programs, with many focusing on engineering, business, and medicine. The university is particularly renowned for its departments of engineering and environmental sciences, which provide opportunities for you to engage in cutting-edge research. English is the primary language of instruction, but you'll also have the chance to learn other languages, such as Spanish, Chinese, and Arabic, through the university's language programs.

As a student, you'll have access to modern facilities, including libraries, labs, and recreational centers. The campus is situated in a charming city with a rich cultural scene, offering many opportunities for you to explore and engage with the local community. For instance, you can visit the nearby Durham Performing Arts Center or take part in the city's annual festivals, which celebrate music, food, and art. With many student clubs and organizations available, you'll find plenty of ways to get involved and make the most of your time at Duke University.

The Explainable AI (XAI) program is a non-degree course for AI professionals, data scientists, and machine learning engineers who want to create transparent and trustworthy AI solutions. It is offered by Duke University and taught in English. The program helps students develop AI systems that meet high standards of ethical and responsible AI.

The curriculum covers key topics including Explainable AI concepts, interpretable machine learning, and advanced explainability techniques. Students will participate in hands-on programming labs using Python and work on case studies to gain practical experience. The program also covers local and global explainability techniques for large language models and generative computer vision models.

Graduates of this program can pursue careers as AI engineers, machine learning engineers, or data scientists working in industries that require transparent and trustworthy AI solutions. They can work as AI consultants, AI researchers, or product managers, and may be employed by companies that specialize in healthcare, finance, or criminal justice. Other potential job titles include AI ethicist, machine learning researcher, or data science consultant.