Manufacturing, the art of making things, is of increasing importance to economic stability and national security. While mechanical components have been manufactured by machines since the dawn of Industrial Revolution, recent developments in artificial intelligence (AI) and machine learning (ML) promise to change this area beyond imagination. Through a series of projects, this course will introduce the AI and ML tools affecting the modern manufacturing techniques. The course will begin with a comprehensive review of the available manufacturing processes from nano to macro length scales. A high-level overview of the AI and ML methods will then be provided including computer vision techniques, LLMs, generative design etc. Using this knowledge, student groups will develop: (i) an automated defect detection system by training images of manufactured goods via an online CNN-based platform, (ii) a low-code agentic AI framework for controlling manufacturing processes, (iii) an AI-based workflow development and fabrication of part using 5-axis machining center; and (iv) virtual robot programming for typical industrial automation processes. Students will thus gain practical experience by using popular AI/ML frameworks to solve real-world manufacturing problems. This course is designed to equip students with the necessary skills to innovate and lead in the future of intelligent manufacturing. Students are expected to have an introductory background in AI / ML fundamentals (e.g., 24-787 or other equivalent course) and proficiency in basic Python programming.