Introduction to Agentic AI: How Intelligent Systems Reason, Act, and Transform Work

Generative AI is evolving from a tool that responds to prompts into systems that can pursue goals, make plans, use tools, and act across workflows.

This introductory course examines the ideas behind this shift and what it means for the future of professional work.

Students explore how AI agents reason and act, how humans can collaborate with them, and where agentic systems may create genuine value or introduce new risks.

Through case studies, demonstrations, and structured analysis, participants learn to evaluate agent opportunities and design a responsible human-agent workflow for their field.

Optional experiments and technical extensions provide pathways for those who wish to explore agentic AI more deeply.

This course will demonstrate third-party AI tools that are not managed or supported by Stanford.

Students can explore these tools on their own if they like, but use is optional.

Many tools offer free versions or trials; paid subscriptions, if chosen, typically range from $25–$100 per month.

See the syllabus for more details.