Early exposure to artificial intelligence (AI) and machine learning (ML) is essential for preparing students to navigate and shape a technology-driven world. This paper presents the design, implementation, and evaluation of a four-day “AI for Everyone!” summer camp, which introduced 33 middle school students to foundational AI and ML concepts through interactive games, hands-on projects, and collaborative activities. Each instructor contributed a unique learning module on topics including Convolutional Neural Networks, Deep Fakes, Decision Trees, and Reinforcement Learning, with integrated discussions on ethical implications. Effectiveness was measured using pre- and post-camp surveys, structured interviews, embedded evaluation tools, and instructor reflections. Analysis of these data reveal increases in both conceptual understanding and enthusiasm for AI, and highlight that students were most engaged by game-based activities, tangible projects, and peer collaboration. The camp’s instructors were also researchers who engaged students in small-group cognitive interviews for research purposes. These real-world discussions on the ethical dimensions of AI and ML deepened student learning. Our results highlight that an inclusive, flexible, and interactive approach not only builds conceptual understanding but also increases enthusiasm for AI among middle school students. With a detailed description of the camp’s design, this paper provides guidance to others who will develop and run similar informal AI/ML education experiences for young learners.