4 Weeks
156 Students
All levels
8 Lessons
4 Quizzes
The AI for Healthcare Professionals Course is a specialized program that extends the skills gained in the AI Mastery Course into the healthcare domain. With the rise of Generative AI, LLMs, and Agentic AI systems, healthcare is entering a new era of innovation where predictive analytics, AI-augmented imaging, and intelligent virtual assistants are reshaping clinical workflows.
In this 4-week course, participants will explore healthcare-specific use cases such as AI-powered diagnostics, patient engagement chatbots, robotic assistance in surgery, and ethical frameworks for managing sensitive medical data. By the end, learners will be equipped to deploy AI solutions tailored for clinical practice while preparing for the American Board of Artificial Intelligence in Medicine (ABAIM) certification exam.
4 weeks (16 hours total)
A focused 4-week program designed for graduates of the AI Mastery Course who want to
apply Generative AI, LLMs, RAG systems, and AI Agents to real-world healthcare
use cases. This course bridges advanced AI capabilities with clinical applications,
empowering healthcare professionals to transform patient care, diagnostics, and operations.
Below is the detailed 12-week curriculum for the AI for Healthcare Professionals:
The AI for Healthcare Professionals Course is facilitated by clinician-data scientists and healthcare AI experts, ensuring a balance of medical knowledge and AI technical expertise. Our instructors bring real-world experience in deploying AI solutions in clinical environments, with expertise in healthcare AI, medical informatics, and clinical decision support systems.
Our instructors are experts in building healthcare-specific AI solutions, including clinical LLMs, medical imaging AI, patient engagement systems, and healthcare RAG applications. They specialize in turning complex medical challenges into practical, compliant AI solutions while addressing healthcare ethics, patient privacy, and regulatory compliance.
With experience spanning clinical practice, healthcare informatics, and AI development, our instructors bring both medical expertise and technical depth to every lesson. Their backgrounds include work with major healthcare systems, medical device companies, and AI research institutions focused on healthcare applications.
To ensure comprehensive learning, hands-on labs are delivered by specialized healthcare AI practitioners from hospitals, medical research centers, and healthcare technology companies, ensuring participants gain practical insights into real-world medical AI implementations. This collaborative approach provides learners with exposure to AI applications across different healthcare specialties and care settings.
ASQ Lean Six Sigma Black Belt
MIT Professional Certificate in AI & ML
NASA Senior Data Scientist Achievement
Because this course focuses on healthcare-specific use cases, it assumes a solid foundation in AI, LLMs, RAG, and Agents provided in the AI Mastery Course.
Every module includes hands-on healthcare case studies, from clinical text mining to patient engagement AI assistants.
Yes. The course prepares participants for the ABAIM Introductory Course certification exam.
Yes. The short 4-week design respects the demanding schedules of healthcare professionals.
As a practicing cardiologist, this AI for Healthcare Professionals course was exactly what I needed to bridge the gap between clinical practice and AI technology. The hands-on modules on medical imaging AI and clinical decision support systems were incredibly relevant. The instructors' combined expertise in both medicine and AI made complex concepts digestible. I'm now confidently implementing AI tools in my practice to enhance patient care and streamline diagnostic workflows.
ReplyThis course exceeded my expectations! As a nurse informaticist, I was looking to understand how AI could improve patient engagement and clinical workflows. The modules on virtual health assistants and healthcare RAG systems were game-changers. The 4-week format fit perfectly into my clinical schedule, and the ABAIM certification prep was excellent. I'm now leading our hospital's AI implementation committee and feel confident discussing AI applications with physicians and administrators.
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