“Living and Working with Artificial Intelligence” is a 9-week elective course for Georgia middle school students co-designed by the investigators and a cohort of six teachers. We created the course and professional development materials to study student and teacher AI learning. For students, we are interested in the most effective ways to promote interest in AI and robotics among different demographic groups who are underrepresented in STEM: rural white students, urban black students, and suburban Latino students. For teachers, we want to understand what kind of training and support teachers need to feel confident about teaching AI. Over the past three years we have trained 20 teachers and piloted the course with over 1500 students. Three units have been implemented: (1) Autonomous Robots and Self-Driving Vehicles, (2) How Computers Understand Language, and (3) Machine Learning and Automated Decision Making. Drafts of our course materials are available on the AI4GA.org website. Research findings: Middle school students can engage with AI concepts such as semantic feature spaces, decision tree classifiers, and linear threshold units when presented with sufficient scaffolding. They have strong preferences for activity-based learning and choice of projects. It takes approximately 1.5 years of training and practice for CS middle school teachers to become comfortable teaching AI content. Curriculum should accommodate different teaching styles: teacher-led vs student driven.