Discover what it takes to move powerful AI technologies from development into real-world healthcare settings in this timely two-day course. With the guidance of renowned healthcare AI expert Professor Regina Barzilay, you’ll learn how to evaluate AI tools for healthcare, navigate implementation challenges, and make informed decisions about when—and how—to put AI to work in a clinical setting.
Artificial intelligence is transforming how organizations operate by automating workflows, analyzing large volumes of data, and enabling faster, more informed decision-making. From generative AI systems that create new content to agentic AI systems that support autonomous execution and workflow orchestration, AI is reshaping business operations across industries.
Law and Technology is a five-day, on campus MIT Professional Education course that teaches technologists the critical legal frameworks behind the products they build. You will learn to navigate intellectual property, data privacy, AI regulation, and cybersecurity law using real-world scenarios, allowing you to turn legal requirements into a design input rather than a late-stage roadblock.
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.
This course introduces the modeling and mathematical foundations of modern AI. Starting from essential refreshers in calculus and linear algebra, we build toward the core structures underlying today’s supervised, unsupervised, and generative models. Case studies develop skill in translating real-world problems into the abstract language of modern AI pipelines.
Ready to revolutionize transportation systems and discover how disruptive innovations are reshaping the mobility sector? In this immersive five-day course, you will learn to 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. These methods are explored alongside selected future solutions, with a focus on user-centric new smart mobility services , automated and AI-driven vehicles and alternative energy vectors for decarbonizing transportation. Through real-world case studies, professionals from transport service providers, urban and mobility planning, automotive, and transportation sectors can gain actionable insights to address current and future transportation challenges.
Anticipate where your industry is headed—and secure a competitive advantage—by mastering the latest discrete choice models and techniques. In this five-day course, you’ll work with leading MIT experts to discover how to apply discrete choice techniques; analyze challenges related to data collection, model formulation, estimation, testing, and forecasting; and assess online applications that drive optimization and personalization of results.
La transformación digital exige mucho más que implementar las nuevas tecnologías: requiere liderazgo estratégico, visión innovadora y capacidad de ejecución. Liderazgo para la Era de la IA ofrece herramientas prácticas y conocimientos para liderar el nuevo paradigma empresarial, marcado por la IA generativa, la automatización inteligente y el cambio constante. Profundiza en cómo alinear cultura, talento y estrategia para impulsar una transformación real, generar valor sostenible y garantizar que la organización no solo se adapte, sino que prospere en un entorno cada vez más competitivo.
AI is transforming processes across countless disciplines—and the sciences are no exception. In this high-impact three-day course, you’ll master a range of practical AI skills—including predictive modeling, large language models, and AI-driven experiment planning—to streamline and enhance your scientific research and uncover new insights.