Law and Technology is a three-day, live online 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.
Artificial Intelligence Beyond Hype and Assumption
AI is increasingly shaping how organizations operate and compete, yet much of its adoption is influenced by incomplete understanding and broad assumptions about its potential. This often results in initiatives that lack clarity, struggle to scale, or fail to deliver meaningful value in real business contexts.
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.
À medida que a transformação digital acelera, os líderes devem fazer mais do que apenas adotar novas tecnologias — eles precisam impulsionar uma mudança significativa. Com o avanço da IA generativa, automação inteligente e a evolução das expectativas de clientes e funcionários, as organizações devem se adaptar rapidamente, focando em tecnologia, cultura e capacidade.
Ben Armstrong is the Executive Director and a Research Scientist at MIT’s Industrial Performance Center, where he co-leads the Work of the Future initiative. His research and teaching examine how workers, firms, and regions adapt to technological change. His current projects include a working group on generative AI and its impact on jobs, as well as a book on American manufacturing competitiveness. His research has been published or featured in academic and popular outlets including the New York Times, Harvard Business Review, Forbes, Sloan Management Review, Times Higher Education, Boston Review, Daedalus, and Economic Development Quarterly.
Leverage powerful AI tools to create products and services that leave a lasting impression—and give your organization a competitive edge in the digital economy. In this dynamic three-day course, you’ll acquire the skills you need to develop AI-driven products that resonate with customers and stakeholders alike, backed by actionable design principles and empathy-driven insights.
In this dynamic three-day program designed for emerging and established women leaders, you’ll gain the skills, knowledge, and confidence you need to successfully make your next big career move—and develop a tailored action plan to help you meet your long-term professional goals.
In this four-day course, learners will reinvent their approach to innovation, pulling inspiration from real-world success stories, innovation focused tours through MIT and Cambridge, and a practical application of AI-powered tools to identify their industry’s “next best thing.”