This year, MIT’s Enterprise Additive Manufacturing course coincides with RAPID + TCT, North America’s largest additive manufacturing and industrial 3D printing event, taking place April 13-17, 2026 in Boston, MA. The course will combine regular lecture and workshop programming with an integrated experience at RAPID, broadening exposure to key stakeholders in the AM industry and the latest technologies and applications. This 5-day program includes 3.5 full days at MIT, with two half-days split between MIT and the RAPID exposition floor.

Autonomous robots. Self-driving cars. Smart refrigerators. Now embedded in countless applications, deep learning provides unparalleled accuracy relative to previous AI approaches. Yet, cutting through computational complexity and developing custom hardware to support deep learning can prove challenging for many enterprises—and the cost of getting it wrong can be catastrophic. Do you have the advanced knowledge you need to keep pace in the deep learning revolution? Over the past eight years, the amount of computing required to run these neural nets has increased over a hundred thousand times, which has become a significant challenge. Gain a deeper understanding of key design considerations for deep learning systems deployed in your hardware.