Artificial Intelligence & Machine Learning in Healthcare
Master the application of AI and machine learning technologies to transform healthcare delivery, operations, and patient outcomes.
Master the application of AI and machine learning technologies to transform healthcare delivery, operations, and patient outcomes.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Artificial Intelligence & Machine Learning in Healthcare program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
English
Powered by
What you'll learn
Define and apply AI and ML concepts specifically within healthcare contexts and applications
Implement and operate AI systems in real-world healthcare settings with practical consideration of clinical workflows
Apply fundamental machine learning algorithms to address specific healthcare challenges and improve outcomes
Navigate the ethical and privacy implications unique to AI implementation in sensitive healthcare environments
Anticipate and prepare for future trends, challenges, and opportunities in healthcare AI innovation
Develop strategies to integrate AI and machine learning into healthcare organizations and clinical practice
Skills you'll gain
This course includes:
6 Hours PreRecorded video
Case Studies, Technical Exercises, Healthcare AI Applications
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 2 modules in this course
This MicroMasters program provides graduate-level education in applying artificial intelligence and machine learning technologies to healthcare challenges. Through two comprehensive courses, participants develop a deep understanding of both foundational concepts and advanced applications of AI in medical and healthcare contexts. The first course, "Introduction to AI & Machine Learning in Healthcare," establishes fundamental AI and ML terminology while exploring their transformative impact on healthcare delivery and operations. Participants learn about the implementation and operation of AI systems in real-world healthcare settings. The second course, "Advanced Principles & Topics in AI & Machine Learning in Healthcare," builds on this foundation to cover sophisticated machine learning algorithms and their specific applications in healthcare, the ethical and privacy implications of healthcare AI, and future trends, challenges, and opportunities in this rapidly evolving field. As a MicroMasters program, these courses represent graduate-level education that may potentially provide credit toward a graduate degree. While instructor information isn't provided in the available content, the program is offered by the MGH Institute of Health Professions, suggesting a strong clinical and academic foundation. This certificate prepares professionals to lead AI initiatives in healthcare organizations, develop innovative health technologies, and navigate the complex technical and ethical considerations of implementing AI in medical contexts.
Fee Structure
Payment options
Financial Aid
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.