Overview
Designed and accredited by Harvard Medical School, the eight-week online AI in Health Care: From Strategies to Implementation program is designed by Harvard Medical School Executive Education to equip health care leaders with the knowledge and strategies to design, pitch and implement AI-driven solutions and bring about transformative change in their organizations. The program’s curriculum prepares leaders to make informed decisions and envision strategic AI implementation in the unique cultural, economic and regulatory context of health care.
Course Description & Learning Outcomes
Guided by expert Harvard Medical School faculty, you will develop a deep understanding of real-world data, digital medicine and AI applications and learn to translate AI concepts into actionable success. Through case studies, real-world examples and a capstone project, you will gain the skills needed to frame a machine learning solution for a health care challenge, evaluate and select appropriate AI models and implement AI strategies from end to end.
Explain the fundamentals of modern methods in AI, including the role of data and computing in building successful AI applications.
Evaluate existing AI systems in health care to understand their strengths and weaknesses.
Identify new opportunities for AI in health care to address unmet needs.
Assess the ethical implications and potential biases of AI technologies in health care settings.
Recommended Prerequisites
No pre-requisites needed, but some understanding of AI concepts would be advisable
Pre-course instructions
Enrol for the course through the link here:
or email [email protected] to gain a 20% special discount
Schedule
End Date: 04 Dec 2025, Thursday
Location: Online
Agenda
| Day/Time | Agenda Activity/Description |
|---|---|
| Module 1 | The History and Foundations of AI |
| Module 2 | A Framework for the AI Development Pipeline |
| Module 3 | From the Lab to the Real World |
| Module 4 | Transparency, Reproducibility and Generalizability in AI |
| Module 5 | The Potential for Bias and Harm in AI |
| Module 6 | AI for Startups |
| Module 7 | AI for Wearable Data |
| Module 8 | Live Session—Capstone Presentations |
Pricing
Course fees: US$3050 before corporate discount. A 20% corporate discount is available by enrolling for the course through Deep Tech Central In order to qualify for the 20% discount, sign up for the course on Deep Tech Central, using the registration link available here or by emailing us at [email protected]
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Biomedical (Proficiency level: Beginner)
- Clinical and Regulatory Affairs (Proficiency level: Beginner)
Speakers
Trainer's Profile:
Andrew Beam, PhD, Chief Technology Officer, Lila Sciences and Associate Professor, Harvard Medical School, Harvard Medical School
Andrew Beam, PhD is an expert in machine learning for biology and medicine, and is an associate professor in the Dept. of Epidemiology at the Harvard T.H. Chan School of Public Health. Dr. Beam also currently serves as the Chief Technology Officer at Lila Sciences, Inc., a new company that is developing new AI methods for scientific discovery. Previously as a Senior Fellow at Flagship Pioneering, Dr. Beam led machine learning activities at Flagship-backed companies including Generate:Biomedicines, a company using AI to improve the ability to engineer therapeutic proteins. Dr. Beam also has made foundational contributions to the use of AI in medicine as cofounder and deputy editor of NEJM AI, a publication from the New England Journal of Medicine focused on medical AI and cohost of the podcast NEJMA AI Grand Rounds.
