EVENTS

Are you ready to experience the leading data science & AI conference? Accelerate your career with hands-on training sessions, expert-led workshops, demo talks, networking events, 10+ tracks covering core data science topics, and more. Stop by MIT Professional Education's booth #30 to say hi and learn more about our courses and certificate programs.

Our high-impact live virtual and on-campus course, Designing Efficient Deep Learning Systems is teaching engineers and developers how to design and build deep learning systems—and maintain competitive advantage. Interested in seeing what this course can do for your career? Join our upcoming Live Virtual Open House.

MIT Technology Review's AI conference to help you activate AI for digital advantage. Join in-person in London or online April 16-17, 2024.

Our high-impact live virtual course, Discrete Choice Analysis: Predicting Individual Behavior and Market Demand is helping professionals better understand market forces and consumer behaviors—and maintain competitive advantage. Interested in seeing what it can do for your career? Join our upcoming Live Virtual Open House.

The 2024 MIT ILP Health Science Technology Conference will highlight broad and transformative trends in biology and healthcare, including early-stage discovery, immune cell responses, diagnostics, clinical capabilities, process development, rapid and continuous manufacturing, robotics and automation, and sustainability, all enhanced by artificial intelligence and machine learning technologies.

Design of Electric Motors, Generators, and Drive Systems is a five-day on-campus course led by MIT professors James L. Kirtley, Jr. and Steven B. Leeb. In this course, engineers and product designers will dive into the physics of electromagnetic actuators and gain a deep understanding of how they work. Participants will learn to evaluate and design their own electric motors, generators, and drive systems to breathe life into electric machines and motion control applications. Want to learn more? Join our upcoming Live Virtual Open House.

The generative AI revolution is here—are you ready to explore its implications for materials design? Join McAfee Professor of Engineering Markus J. Buehler for our specialized course, Predictive Multiscale Materials Design. From generative AI to cloud services to additive manufacturing, this intensive program is an exciting opportunity to learn more about the innovations revolutionizing materials manufacturing and discover how to use these computational tools to create advanced materials of your own. Discover more about this dynamic learning opportunity from the comfort of your home or office at our Virtual Open House.

In the five-day course AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment, attendees will examine the types of tasks best suited to machines and ones that require the unique skillsets of humans. Additionally, learners will acquire practical experience building machine learning models and algorithms, instilling an appreciation of the complexity of end-to-end AI systems.

The MIT Advanced Study Program (ASP) is your chance to take the same classes as MIT degree students and become part of the MIT community. ASP is open to graduate students, working professionals, and MIT employees seeking to expand their knowledge and practical skills with an MIT education.

AI has transformed many areas of life in the last decade, yet the impact of these technologies on patient care is still limited. Building on the combined expertise of MIT and MGB in AI and clinical practice, the MIT-MGB AI Cures Conference showcases ongoing collaborative projects in clinical AI, highlighting cutting-edge research and their impact on patient care.