
Harness the power of AI to elevate modern-day medical treatments
The Artificial Intelligence in Healthcare: Fundamentals and Applications program from MIT xPRO is an online learning experience designed for healthcare professionals, technical leaders, and innovators like you seeking to apply AI in healthcare environments.
As AI rapidly transforms the healthcare industry, many professionals face the challenge of translating complex AI concepts into practical, scalable solutions. This program addresses that gap through self-paced modules, expert-led instruction, case studies, and applied projects focused on AI models, machine learning (ML), and real-world healthcare applications. You will gain the knowledge to evaluate AI technologies, deploy AI solutions ethically, and improve patient outcomes across evolving healthcare systems.
Note: The content of this program assumes previous knowledge of calculus, linear algebra, statistics, and probability. Basic Python experience will also be beneficial.
Watch the video to learn how this program can help advance your career in healthcare.

Healthcare technology is at a critical stage, and people with AI expertise have the power to determine its future.
MIT xPRO’s Artificial Intelligence in Healthcare program is ideal for:
Technical professionals in the healthcare industry: Technical product managers, product managers, directors of product, product design managers, engineering managers, technology project managers, directors of engineering, and directors of technology, who are looking to drive the adoption of AI in healthcare at their organizations by adding AI products and services that empower patient care
Entrepreneurs: Innovators and business leaders who are guiding teams and organizations in designing healthcare solutions that harness AI technology to impact millions of lives
Clinical leaders: Senior physicians, department chairs, medical directors, chief medical officers, physician service line directors, nurse leaders, hospital administrators, directors of clinical services, and nursing/medical school deans who are seeking to sharpen their understanding of AI products and methodologies to advance patient care and identify new opportunities emerging in the field
Technology consultants in healthcare: Consultants in hospitals, digital health, pharmaceuticals, med tech, research, and insurance who are responsible for shaping the AI strategies for organizations and are, therefore, looking to upgrade their knowledge about new technologies
A basic understanding of AI, ML, data science, and AI in healthcare is beneficial in order to gain maximum value from this program.
Explore real-world applications of AI in healthcare simulations, and design an AI decision framework tailored for healthcare delivery and operations
Understand AI concepts and technologies, including ML, deep learning, neural networks, natural language processing (NLP), and biomechatronics
Acquire insights and examples from expert MIT xPRO faculty
Develop your ability to assess real-world challenges, opportunities, and future-focused patient care solutions involving a variety of AI technologies
Earn a certificate and four continuing education units (CEUs) from MIT xPRO upon program completion
The program will help you to:
Build a Foundation
Learn about the AI design process model through its various stages
Understand different machine learning algorithms and how they can be applied in varying scenarios
Examine neural network NLP algorithms and their widespread application
Discover the possibilities and limitations of biomechatronics
Apply Your Skills
Use the four stages of the AI design process model to solve a technical healthcare problem
Run an implementation of a single- and multi-layer perceptron in Python
Develop an idea for an ingestible robot to solve a healthcare problem
Use the Peloton framework, designed by research scientist Brian Subirana, within your specific healthcare domain
Execute
Assess business and technical requirements for AI
Map the AI design process and arrive at a cost model
Resolve a communication problem while using prosthetics
Develop an AI product or service for healthcar
The Artificial Intelligence in Healthcare program includes a series of hands-on assignments and a strategic project, equipping you to translate AI theory into real-world applications. Through applied learning, you will build expertise in designing, evaluating, and implementing AI-driven solutions that support healthcare systems and improve patient outcomes.

Ideate an ingestible robot to solve a healthcare challenge
Address communication issues when using prosthetic devices

Define business and technical requirements for AI
Explore the three types of AI cancer

Develop a comprehensive plan for a healthcare AI product using wireless monitoring and anomaly detection, spanning scope, design, and testing strategy
Founded in 1861, the Massachusetts Institute of Technology is committed to generating, disseminating, and preserving knowledge and to working with others to bring this knowledge to bear on the world’s great challenges. MIT is ranked #1 in Forbes’ America's Top Colleges list. MIT is dedicated to providing rigorous academic study, innovative research and scholarship, and a diverse campus community.
MIT’s motto, Mens et manus (“Mind and hand” in Latin), epitomizes the university’s dedication to education focused on practical solutions. Through MIT xPRO — one of the institute's online learning platforms — global executives can access vetted content from world-renowned experts anytime, anywhere. Designed using cutting-edge research in the neuroscience of learning, MIT xPRO programs are application-focused, helping business leaders build their skills on the job and in real time.
MIT xPRO’s Artificial Intelligence in Healthcare program features an expert-led curriculum structured around progressive modules that guide you from foundational AI concepts to real-world deployment of AI in healthcare systems. Through self-paced learning, expert-led sessions, case studies, and applied projects, you will learn to analyze health data, support clinical decision support systems, and apply AI solutions that strengthen healthcare delivery and contribute to improving patient outcomes.
Identify how to generate realistic-looking images of the heart that can be instrumental for cardiologists in diagnosis and treatment.
Learn about GENCODE — the attempt at creating an encyclopedia of genes and genetic variants.
Discover a useful tool for antibiotic discovery that can aid you in your own drug discovery.
Learn how to use an image-based, deep learning model that can predict breast cancer up to five years in advance.
Learn how to create bionic limbs that emulate the function of natural limbs.
Examine how the instrument, named Emerald, functions and measures sleep stages, gait speed and mobility, human pose estimation, and adherence.
Discover how Bruce Lawler makes great strides in his goal to find the shortest path from data to impact.

Managing Director, MIT Machine Intelligence for Manufacturing and Operations (MIMO)
Bruce Lawler is a technology entrepreneur and an executive leader. He has developed several applications across platforms, including mobile, SaaS, AI, and video distribution n...

Former Director of MIT Auto-ID lab, MIT
Brian Subirana has taught at MIT Sloan and the MIT School of Engineering, and he is also on the faculty of Harvard University. His research centers on IoT and AI and focuses o...

Clarence J. Lebel Professor, Electrical Engineering and Computer Science
Duane Boning is affiliated with the MIT Microsystems Technology Laboratories and serves as associate director of machine learning and statistical methods for modeling and cont...

Get recognized! Upon successful completion of this program, you receive 4.9 Continuing Education Units (CEUs), a globally recognized measure of professional learning that reflects compliance with international quality standards, and a certificate of completion from MIT xPRO.
This program is graded as a pass or fail; participants must receive 75 percent to pass and obtain the certificate of completion.
After the successful completion of the program, your verified digital certificate will be emailed to you, at no additional cost, in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of MIT xPRO.
Didn't find what you were looking for? Write to us at learner.success@emeritus.org or schedule a call with one of our Program Advisors or call us at +1 401 443 9591 (US) / + 44 189 236 2347 (UK) / +65 3129 7174 (SG).
The program will observe a scheduled holiday break from December 24, 2025 through January 1, 2026.
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