May 03, 2024 12:00 - 1:00 PM EDT Open House: Product Innovation in the Age of AI The best ideas come out of collaboration and are formed within the context of society, customer demands, and industry challenges. Today’s innovators and technologists have artificial intelligence at their disposal to augment their ideation exercises and assist in design, testing, and scaling. Join our Virtual Open House for Product Innovation in the Age of AI to meet the faculty and learn more about this dynamic course.
April 30, 2024 12:00 - 1:00 PM EDT Open House: Effective Communication through Surveys and Market Research A well-designed survey can provide leaders with the insights they need to make positive change in their organization or their industry as a whole. The payoff of market research is valuable, yet writing questions without bias, interpreting results accurately, and implementing change based on survey results isn’t easy. Join our Virtual Open House to learn more.
April 30, 2024 8:00 AM - 5:30 PM (EDT) MIT ILP Startup Ecosystem Conference The 2024 MIT Startup Ecosystem Conference is a celebration of entrepreneurship, offering a window into the exciting technology, projects, and research being led by the MIT community and beyond. The conference is a must-attend for executives at industry-leading corporations, especially those working in innovation, emerging technology, corporate venture capital, and/or corporate development/strategy.
April 26, 2024 12:00 - 1:00 PM EDT Open House: AI in Robotics - Learning Algorithms, Design and Safety AI in Robotics: Learning, Algorithms, Design, and Safety is a three-day on-campus course led by MIT Assistant Professors Pulkit Agrawal and ChuChu Fan. Participants will acquire hands-on experience applying generative AI, large language models, simulators for training control policies, and more to better optimize their robotics efforts to solve their organization’s objectives. Want to hear from Pulkit and ChuChu to learn if this course is right for you? Register to join our Virtual Open House!
April 25, 2024 12:00 - 1:00 PM EDT Open House: Imaging & Machine Learning in Manufacturing, Medicine, and More Imaging & Machine Learning in Manufacturing, Medicine, and More: The New & Next is a four-day on-campus course led by Brian Anthony. Participants will explore a range of imaging sensors, hardware, and analytics and learn how to apply image-based machine learning methods to solve industry challenges. Join our Virtual Open House to hear more about this course from MIT Professor Brian Anthony.
April 23 - 25, 2024 Open Data Science Conference 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.
April 18, 2024 12:00 - 12:30 PM EDT Open House: Designing Efficient Deep Learning Systems 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.
April 16 - 17, 2024 EmTech Digital London 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.
April 12, 2024 12:00 - 1:00 PM EDT Open House: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand 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.
April 10 - 11, 2024 MIT ILP: 2024 MIT Health Science Technology Conference 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.