The strategic goal of the program is to shape a new generation of healthcare leaders who can not only apply artificial intelligence, but also design, coordinate, and responsibly manage it—enhancing the efficiency and quality of healthcare delivery.
AI advanced
Course for Doctors and Healthcare Professionals
Գրանցվիր
GMC Academy helps doctors and healthcare professionals confidently navigate the digital and AI era. We turn technology into a tool that strengthens care, decisions, and patient outcomes.
About
GMC Academy
GMC Academy
Who Is This Program For?
family doctors
practicing physicians
clinical residents
medical students
This course is designed for healthcare professionals who want to confidently integrate AI and digital tools into modern clinical practice.
The Vision Behind the Academy
Co-Founder, CEO | Armenian Code Academy
Founder & Executive Director | Health Fund for Children of Armenia & Co-Fonder and CEO Global MedConsult
"In Armenia, doctors are often pulled away from what matters most. Administrative work consumes hours, while growing volumes of medical data demand careful analysis, yet time remains limited. These challenges don’t just slow the system; they stand in the way of truly effective care.
With this AI course, we aim to build a better future for the medical field, one with less administrative burden and a lighter mental load for doctors."
With this AI course, we aim to build a better future for the medical field, one with less administrative burden and a lighter mental load for doctors."
"The future of healthcare will be built at the intersection of medicine and technology.
At GMS Academy, we are creating an environment where doctors understand innovation, and innovators understand responsibility. When these worlds unite, real transformation begins."
At GMS Academy, we are creating an environment where doctors understand innovation, and innovators understand responsibility. When these worlds unite, real transformation begins."
Co-founder | GMC Academy
Co-founder | GMC Academy
Advanced Prompt Architecture
-Professional prompting methodologies
-Tool-oriented and format-oriented prompting
-Domain-specific AI vocabulary
-Creation of a “Golden Prompt” library
-Tool-oriented and format-oriented prompting
-Domain-specific AI vocabulary
-Creation of a “Golden Prompt” library
-Clinical Decision Support (CDS) systems
-Differentiation between general LLMs and domain-specific AI tools
-AI for personalized diagnosis and treatment
-Differentiation between general LLMs and domain-specific AI tools
-AI for personalized diagnosis and treatment
Application of AI in Clinical Decision-Making
-Team automation and SOP development
-ROI measurement (time savings, error reduction, patient satisfaction)
-ROI measurement (time savings, error reduction, patient satisfaction)
Institutional AI Integration
-Detection of AI bias and hallucinations
-Data protection and de-identification
-Legal liability frameworks
-Data protection and de-identification
-Legal liability frameworks
AI Risk Management
AI Strategic Architecture in Healthcare
-Classification and selection of AI systems
-Integration with EHR / EMR, Telehealth, and hospital systems
-Design of multi-system, secure data flows
-Integration with EHR / EMR, Telehealth, and hospital systems
-Design of multi-system, secure data flows
what you
will learn
will learn
-From chatbot thinking to AI agent thinking
-Multi-agent systems (documentation, billing, patient education)
-Transition from passive prompting to active agents
-Multi-agent systems (documentation, billing, patient education)
-Transition from passive prompting to active agents
Agentic AI Systems
TUTOR
Harvard Certified Strategic Development and Digital Transformation Expert
Dr. Tigran Oganesyan is a physician and digital health expert with leadership experience in healthcare innovation and public health.
He has served as Vice-President of the Armenian Medical Association, Executive Director at OOB Solutions, and currently works as a Product Owner at the Information Systems Agency of Armenia, leading digital health initiatives.
With his strong background in medicine, strategy, and AI-driven systems, he brings practical expertise to teaching AI Essentials for healthcare professionals at GMS Academy.
He has served as Vice-President of the Armenian Medical Association, Executive Director at OOB Solutions, and currently works as a Product Owner at the Information Systems Agency of Armenia, leading digital health initiatives.
With his strong background in medicine, strategy, and AI-driven systems, he brings practical expertise to teaching AI Essentials for healthcare professionals at GMS Academy.
What You’ll Gain
Certificate of Completion
Receive an official certificate upon successful completion of the program.
Professional Community
Join a growing network of healthcare professionals and digital innovator
CME Credits
Earn Continuing Medical Education (CME) credits.
Practice-Oriented Learning
You won’t just learn concepts but you’ll apply them immediately through guided exercises and practical assignments.
Free Access to Digital & AI Tools
Get hands-on experience with selected digital and AI tools at no additional cost during the course.
Final Portfolio Project
Complete a practical, real-world final project that you can showcase in your professional portfolio.
These courses provide clinicians with a clear, practical understanding of how AI can be integrated into everyday medical work. Key use-cases include structuring and improving medical notes, summarizing long records, generating patient-friendly explanations, supporting clinical reasoning with differential diagnosis checklists (with physician verification), accelerating literature review, and improving preparation of reports, lectures, and research texts.
Head of Respiratory Medicine and Allergy/Immunology | Arabkir Medical Centre;
Assistant Professor | YSMU, Chair of Allergology and Clinical Immunology.
Assistant Professor | YSMU, Chair of Allergology and Clinical Immunology.
Astghik Baghdasaryan
Ruzanna Papyan
For me, as a pediatric oncologist and researcher, this course was highly valuable. It deepened my understanding of how AI can support clinical decision-making and scientific research. I gained clearer insight into data analysis, effective scientific prompting, and structured presentation of results.
The course also reinforced my belief that AI should serve the physician, not replace clinical expertise, responsibility, or final decision-making.
The course also reinforced my belief that AI should serve the physician, not replace clinical expertise, responsibility, or final decision-making.
Head of Pediatric Oncology at the Yolian Center of Hematology and Oncology;
Lecturer at YSMU;
Team Lead in Pediatric Immuno-Oncology.
Lecturer at YSMU;
Team Lead in Pediatric Immuno-Oncology.
It was a very valuable experience for us to explore the possibilities and tools of artificial intelligence. As a result of the course, we were able to develop practical skills in using these tools, which is highly beneficial for every professional.
Head of the Preventive Medicine Department at Yerevan State Medical University, Candidate of Medical Sciences (PhD), Associate Professor at the Department of Public Health and Health Care Organization
Lusine Danielyan
From Our Community
Course DETAILS
duration: 12 weeks
price: 150.000 AMD
Format: Hybrid
FREQUENTLY
ASKED QUESTIONS
ASKED QUESTIONS
Yes.
All 3 offline sessions are strictly mandatory.
They include security deployment, AI audits, and certification assessment.
All 3 offline sessions are strictly mandatory.
They include security deployment, AI audits, and certification assessment.
Yes.
Participants who pass with ≥70% receive a certification.
Those scoring above 90% qualify for Peer Mentor roles.
Participants who pass with ≥70% receive a certification.
Those scoring above 90% qualify for Peer Mentor roles.
No. This is a zero-level foundational course. No coding or prior AI knowledge is required. You only need basic digital literacy and a willingness to learn.
Most AI courses focus on tools.
This course focuses on judgment, workflow design, and safe application in healthcare.
You won’t just learn how to use AI — you’ll learn:
This course focuses on judgment, workflow design, and safe application in healthcare.
You won’t just learn how to use AI — you’ll learn:
- When to trust it
- When to challenge it
- How to audit it
- How to integrate it responsibly into clinical workflows
Highly practical.
Every module includes:
Every module includes:
- Live labs
- Tool-based exercises
- Clinical simulations
- A longitudinal capstone project
The course runs for 12 weeks with:
- 2 live sessions per week
- Practical exercises
- Capstone development
Yes.
All 3 offline sessions are strictly mandatory.
They include security deployment, AI audits, and certification assessment.
All 3 offline sessions are strictly mandatory.
They include security deployment, AI audits, and certification assessment.
Yes.
Participants who pass with ≥70% receive a certification.
Those scoring above 90% qualify for Peer Mentor roles.
Participants who pass with ≥70% receive a certification.
Those scoring above 90% qualify for Peer Mentor roles.
This program is designed for medical students, clinical residents, practicing physicians, family doctors, and healthcare department leaders — regardless of their current level of technical experience. Whether you feel digitally confident or overwhelmed, this course meets you where you are.
No. This is a zero-level foundational course. No coding or prior AI knowledge is required. You only need basic digital literacy (Gmail, internet use) and a willingness to learn.
Most AI courses focus on tools.
This course focuses on judgment, workflow design, and safe application in healthcare.
You won’t just learn how to use AI — you’ll learn:
This course focuses on judgment, workflow design, and safe application in healthcare.
You won’t just learn how to use AI — you’ll learn:
- When to trust it
- When to challenge it
- How to audit it
- How to integrate it responsibly into clinical workflows
Highly practical.
Every module includes:
Every module includes:
- Live labs
- Tool-based exercises
- Clinical simulations
- A longitudinal capstone project
The course runs for 12 weeks with:
- 2 live sessions per week
- Practical exercises
- Capstone development
