In-Person: AI Summer Camp for Community

Designed for students eager to explore applied artificial intelligence in a collaborative, face-to-face setting, this five-session AI Summer Camp for Community delivers a structured progression from core concepts to actionable skills, with a focus on automation and prompt engineering. Each session blends instructor-led lectures, guided coding sessions, and small-group projects that reinforce comprehension and build practical competence. Participants will begin by establishing a shared vocabulary of AI concepts, then move into automation techniques that streamline tasks and integrate AI services into everyday workflows. Subsequent sessions cover essential data literacy, introductory model interaction, and advanced prompt-crafting strategies that improve model responses for creative, educational, and civic applications. The final meeting is devoted to ethical considerations, responsible use, and a collaborative capstone in which student teams present solutions to community-relevant problems. Emphasis is placed on accessibility: instructors provide scaffolded materials, real-time support, and targeted feedback so that novices and intermediate learners alike make measurable progress. Students will leave with demonstrable projects, a clear roadmap for further study, and the confidence to apply AI tools responsibly in academic, volunteer, or entrepreneurial contexts. This camp fosters a supportive learning community and encourages participants to continue translating AI knowledge into positive impact for their neighborhoods and institutions.

• Session 1: AI fundamentals and community context
• Session 2: Practical automation and toolchains
• Session 3: Data practices for reliable results
• Session 4: Prompt engineering and model collaboration
• Session 5: Ethics, deployment strategies, and capstone showcase