Udacity launches new AI for Healthcare Nanodegree Program to help grow careers in advanced healthcare

Udacity, one of the most popular online learning platforms, has launched its AI for Healthcare Nanodegree program. The project-based courses are taught by industry-leading AI and healthcare experts and designed to provide learners with the practical experience and resources needed to work and advance in the healthcare field, said a release from the company.

“Artificial intelligence has the potential to bring about monumental improvements in any industry where data is collected, but few fields have as significant an impact on our quality of life as does healthcare,” said Gabriel Dalporto, CEO, Udacity. “By leveraging the power of AI, providers can deploy precise, efficient, and impactful interventions at exactly the right moment in a patient’s care. Through our AI for Healthcare Nanodegree program, we’re equipping data scientists and other AI-minded professionals to use their skills to enable faster and more accurate diagnoses of medical conditions and to build the treatments of the future.”

TAI for Healthcare Nanodegree program has tapped five leading names in AI and healthcare as course instructors: Nikhil Bikhchandani (Data Scientist, Verily Life Sciences), Mazen Zawaideh (Radiology Consultant, Microsoft Research), Ivan Tarapov (Medical Imaging AI, Microsoft Research), Emily Lindemer (Data Science & Analytics, Wellframe), and Michael D’Andrea (Principal Data Scientist, Genentech).

Learners who enroll in the program will develop the skills needed to create algorithms that will enable healthcare professionals to deploy more effective interventions in order to optimize clinical decision-making at scale. The curriculum included in the Nanodegree program includes lessons on the applications of artificial intelligence in electronic health records, 2D and 3D medical imaging, and wearable devices.

Udacity’s AI for Healthcare Nanodegree program also features hands-on learning with projects tailored to real-world scenarios that complement instructor-led sessions, including the development of algorithms to detect pneumonia from chest x-rays and quantification of hippocampus volume to determine Alzheimer’s progression, added the statement from the company.