Hands-on Data Centric Visual AI

The University of California, Davis, a top-ranked public research university in Davis, California, offers you a unique blend of academic excellence, innovative research, and a supportive community. Founded in 1905, UC Davis stands out for its strong commitment to interdisciplinary studies, sustainability, and innovation. You'll find opportunities to explore multiple fields of study, with over 230 programs available, making it an attractive choice for international students looking for a well-rounded education.

UC Davis specializes in many fields, including agriculture and environmental sciences, engineering, medicine, and humanities. The university's School of Veterinary Medicine is particularly renowned, and its wine and viticulture program is one of the best in the world. With a strong focus on research, you'll have access to cutting-edge facilities and expert faculty in your chosen field. Whether you're interested in sustainability, transportation, or another area, UC Davis has a program that can help you achieve your goals.

As a student at UC Davis, you'll be part of a diverse community with a range of activities and opportunities to get involved. The campus provides a supportive environment, with many student organizations and clubs to choose from. Located in Davis, California, you'll have access to a unique college town with a strong sense of community, making it easy to balance academic and social life. You'll find modern facilities, including labs and libraries, and a range of resources to help you succeed during your time at UC Davis.

The Hands-on Data Centric Visual AI program at University of California, Davis is for students who want to learn about visual AI. This non-degree program is in English and lasts several weeks. It helps students learn by doing.

The curriculum includes hands-on projects in data centric visual AI. Students develop skills in AI, programming, and data analysis. They learn to work with images and videos, and get experience with machine learning.

After completing this program, students can work as AI engineers, computer vision engineers, or data scientists. They can also work in research or as machine learning engineers. These roles are in industries like tech, robotics, or automotive, and employers can be research institutions or tech companies.