Generative AI Essentials: Overview and Impact 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 Essentials: Overview and Impact 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. The main advantage is that you can take it online.

This course covers the basics of generative AI, including its impact on society. You'll learn about specific AI models and develop skills in critical thinking and problem-solving. You'll also get hands-on experience with AI tools.

After completing this course, you can work as a Data Analyst, AI Engineer, or Business Intelligence Developer. You can also work in industries like tech, healthcare, or finance for employers like Google, Microsoft, or IBM.