AI for Science has emerged as one of the most dynamic frontiers in modern engineering, reshaping domains from healthcare to infrastructure. At the center of this transformation is materials science—the discipline that sets the physical limits of our world.
This course is designed to help you learn and apply advanced data tools for IIoT and smart manufacturing. The curriculum ranges from foundational concepts to in-depth, hands-on activities using production data, and covers a variety of cutting-edge approaches such as deep reinforcement learning control, encryption for data outsourcing, and predictive data analytics algorithms.
How do you solve important, large-scale challenges with evolving and contradictory constraints? In this 5-day course, transform your approach to large-scale problem solving, from multi-stakeholder engineering projects to the online spread of misinformation. Alongside engineers and leaders from diverse industries, you’ll explore actionable innovative frameworks for assessing, communicating, and implementing complex systems—and significantly increase your likelihood of success.
Motors are becoming better and cheaper—opening profitable new applications across industries. In this course for engineers and product designers, you will learn to assess and design electric motors, generators, and drive systems, with emphasis on electric drives, including traction drives and drive motors. You will also explore how modern embedded controllers enable command through digital computation, breathing life into electric machines and motion control applications.
Ready to face the revolutions in transportation systems and discover how disruptive innovations are reshaping the mobility sector? In this immersive five-day course, you will learn to model, analyze and optimize transportation systems using the latest research from MIT and beyond, delving into demand and network modelling, artificial intelligence, simulation, optimization and control. Innovative methods are explored for emerging systems that are still in an early stage of development and deployment, such as user-centric new smart mobility services, automated and AI-driven vehicles and alternative energy vectors for decarbonizing transportation. Through real-world case studies, transportation researchers and professionals from urban and mobility organizations, the automotive industry, logistics companies, and other transportation sectors can gain actionable insights to address current and future transportation challenges.
The three-and-a-half-day course explores the fundamentals and latest innovations in the study of friction, wear, lubrication, and design of tribological systems. Participants will acquire the skills needed to improve the reliability and durability of tribological systems. Learners will dive deep into fundamentals, trends, strategies, and modern methodologies needed to design the next generation tribological systems.
This course may be taken individually or as part of the Professional Certificate Program in Design & Manufacturing.
What would Artificial General Intelligence look like if its first breakthrough were not in language, but in the invention of matter? Join the frontier of superintelligence applied to agentic materials discovery. In this condensed four-day course, you will move beyond static design to master autonomous AI workflows. Through hands-on clinics, you will build multi-agent systems that do not merely predict material properties, but reason, plan, and invent next-generation smart materials - integrating large-scale computational modeling with generative AI to solve complex engineering challenges across scales, from atoms to systems, from concept to physical realization.
Learn the fundamentals of lighting, imaging technologies, and motion analysis in this dynamic course, designed specifically for scientists, engineers, and imaging specialists who need to gather data on rapidly moving subjects and events. Guided by leading experts, you’ll overcome common challenges, including trade-offs between depth-of-field, field-of-view, resolution, and lighting requirements by selecting the appropriate lens(es) to capture clear, crisp, images.
Acquire the skills you need to build advanced computer vision applications featuring innovative developments in neural network research. Designed for engineers, scientists, and professionals in healthcare, government, retail, media, security, and automotive manufacturing, this immersive course explores the cutting edge of technological research in a field that is poised to transform the world—and offers the strategies you need to capitalize on the latest advancements.
Transform your organization's engineering capabilities with comprehensive AI implementation spanning the complete design-to-deployment pipeline, from LLM-driven parametric design through advanced manufacturing optimization, computer vision quality control, and real-world deployment strategies. In this intensive hands-on course, you'll join accomplished global peers to master deployable AI workflows, create neural surrogates for expensive simulations, implement MLOps practices with regulatory compliance, and build complete integrated systems using open-source tools – leaving with working template libraries and custom components ready for immediate organizational deployment.