This Noyce Track 2 project aims to serve the national need to address lagging achievement scores in STEM education by preparing highly-qualified STEM teachers who can effectively leverage artificial intelligence (AI) to advance student learning. AI holds significant promise for enriching learning through its ability to personalize learning experiences, provide timely feedback and support, and help teachers identify and address student needs. This project plans to support one cohort of 12 STEM professionals (i.e., biological & physical science, computer science, engineering, mathematics, and statistics undergraduate majors) to become 7-12th grade teachers through an innovative program that combines research-based pedagogies with strategic AI integration. First, participants are expected to complete an integrated post-baccalaureate teaching credential and MA program while gaining hands-on experience using AI tools in high-need schools. The project is designed to provide participants training in, and conduct teacher research on, AI applications for advancing student learning. Finally, participants are scheduled to host an "AI for Advancing Learning in STEM Education" conference to share their research and practical strategies with other educators to help build a broader community of teachers skilled in leveraging AI to create supportive and engaging learning environments. The proposed project components intends to prepare highly-qualified STEM professionals to become highly-effe