COVID-19 Updates: MIT Professional Education fully expects to hold courses on-campus during the Summer of 2023 (only a handful will be delivered in the live virtual or hybrid modality). In the event there is a change in MIT's COVID-19 policies and a course cannot be held on-campus, we will deliver courses via live virtual format. Find the latest information here.
Gain practical strategies for overcoming some of today’s most pressing healthcare challenges by leveraging the power of Machine Learning and AI. In this 3-day course, you’ll examine innovative frameworks for connecting health data from disparate sources, identifying diagnostic patterns and determining the most effective treatments, predicting and improving patient and financial outcomes, modeling disease progression, enabling personalized care and precision medicine, and more.
THIS COURSE MAY BE TAKEN INDIVIDUALLY OR AS part of THE PROFESSIONAL CERTIFICATE PROGRAM IN MACHINE LEARNING & ARTIFICIAL INTELLIGENCE or the Professional Certificate Program in Biotechnology & Life Sciences.
The type of content you will learn in this course, whether it's a foundational understanding of the subject, the hottest trends and developments in the field, or suggested practical applications for industry.
How the course is taught, from traditional classroom lectures and riveting discussions to group projects to engaging and interactive simulations and exercises with your peers.
What level of expertise and familiarity the material in this course assumes you have. The greater the amount of introductory material taught in the course, the less you will need to be familiar with when you attend.