This Noyce Track 3 project aims to serve the national need of preparing highly-qualified STEM teachers and developing effective STEM teacher leaders through a three-year professional development program that emphasizes artificial intelligence (AI) curriculum. Additionally, this project will support two cohorts of 15 each, for a total of 30 Master Teacher Fellows (MTFs) in all STEM fields by providing stipends for professional development experiences. The proposed project components will enable high-achieving practicing teachers to effectively use AI with their students by illustrating how machine learning algorithms learn from data to make predictions, thereby making the technology more accessible and relevant to students’ everyday lives. This project at Arizona State University includes partnerships with the Arizona K12 Center, Tolleson Union High School District and Phoenix Union High School District. Project goals include: 1) MTFs will develop skills in engineering habits of mind, including design thinking, critical and creative thinking, collaboration, problem-solving under constraints, and iterative testing within the context of foundational AI concepts, including virtual assistants, recommendation systems, machine learning, and deep learning; 2) MTFs will explore machine learning principles through exploration of object detection, sound recognition, pose classification, and data categorization models and illustrate real-world applications of machine learning to make