The integration of artificial intelligence (AI) into advanced manufacturing has promising potential to revolutionize productivity and generate new jobs in smart manufacturing. There is an urgent need to investigate "what to teach" and "how to teach" AI in order to prepare future workforce with the necessary AI skills. This project will initiate an age-appropriate career-driven AI educational program for high-school students and evaluate its effectiveness. We will develop manufacturing specific AI learning modules to teach high school students about additive manufacturing that will be equipped with real-time process monitoring, analysis and communication. We have three objectives: design AI learning modules of smart manufacturing for high-school students, develop project-based learning (PBL) experiences, collect firsthand survey data among participants and use data-driven methods to evaluate the effectiveness in improving AI learning and promoting future education and career in smart manufacturing. We will focus on underserved high schools and underrepresented groups to promote equitable learning. The successful outcomes of the project will be the concrete AI concepts and skills needed for smart manufacturing, the new PBL pedagogy for AI educational intervention, and the insights from data-driven analysis about the intervention. These outcomes will provide valuable lessons for advancing age-appropriate, career-driven, equitable AI learning for K-12 students at the AI era.