Generative AI Teach-Out Online Course

The University of Michigan in Ann Arbor, founded in 1817, is a leading public research university with a large and diverse student body of approximately 64,575 students and an expansive portfolio of more than 200 academic programs. Renowned for research excellence, interdisciplinary collaboration, and a strong commitment to public service, Michigan combines top-tier scholarship with extensive resources across arts, sciences, engineering, business, and health fields.

Academic life at Michigan features world-class faculty, cutting-edge laboratories, and broad opportunities for undergraduate and graduate research, entrepreneurship, and global study. The university emphasizes experiential learning through internships, clinical placements, and community partnerships, enabling students to apply classroom knowledge to real-world challenges. Interdisciplinary centers and initiatives encourage collaboration across departments and foster innovation.

Campus life in Ann Arbor is vibrant, with a rich mix of student organizations, cultural events, athletics, and civic engagement. International students benefit from dedicated support services, language resources, and career programming that connect graduates to global employers and advanced study options. For prospective students seeking a research-intensive environment with deep academic breadth and strong professional pathways, the University of Michigan offers a rigorous, resource-rich setting to pursue ambitious goals.

The Generative AI Teach-Out Online Course is a non-degree program for students who want to learn about generative AI. It's taught in English and lasts several weeks. You'll get to learn from University of Michigan experts.

This course covers topics like AI models and machine learning. You'll develop skills in data analysis and programming. The course includes hands-on projects to help you practice what you learn.

After completing this course, you can work as a Data Analyst, AI Engineer, or Machine Learning Specialist. You can also work in tech companies, research institutions, or as a Software Developer.