An AI bootcamp for college students introduces core AI concepts through practical learning. It should match participants' existing skills and focus on what they can realistically understand and demonstrate during the programme.
Begin with learning objectives and a brief assessment of students' backgrounds. Introduce relevant concepts, show practical applications and let students practise with appropriate tools. Include discussions of accuracy, privacy, bias and the limitations of AI systems.
A small final project can help students apply what they learned. Ask them to explain the task, their approach, how they checked the output and what limitations they encountered.