Upcoming Courses
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I. Fundamentals of Curriculum Development
AI Assisted Online Course- August 24, 25 & 26, 2026
(9 AM- 2 PM ET)
Limited Time 25% Discount: Use Promo Code SMESCD26 at Checkout and Pay $1200 instead $1600.
Course Facilitators:
David Kern, MD, MPH, MACP
Emeritus Professor of Medicine, School of Medicine, Johns Hopkins University
Nehal Khamis, MD, PhD, MHPE, MAMSE (affil.)
Adj. Professor, Co-Lead of the Curriculum Development Course and Lead of GenAI Integration, Masters of Education in Health Professions (MHPE) Program, Johns Hopkins University.
Course Dates: Monday, Tuesday & Wednesday, August 24, 25 & 26, 2026 (9 AM- 2 PM ET).
Course Fees: Please fill the registration form and proceed to checkout to reach the payment page. You will receive a payment confirmation email. This is important to confirm your registration.
Limited Time 25% Discount: Use Promo Code SMESCD26 at Checkout and Pay $1200 instead $1600.
A payment processing fees of 2.9%+ 0.30 USD is added by the payment processing provider so your total at checkout will be S1236. These processing charges go to the payment provider and not to SMES.
Course Overview:
Join an immersive and forward-thinking course that goes beyond theory to equip you with the skills, tools, and personalized support needed to design and evaluate effective health professions curricula.
Master a Stepwise Framework rooted in theory and enriched with real-world application.
Use Customizable GenAI Prompts in every step of curriculum design — from problem identification to evaluation — to streamline your thinking and boost productivity.
Participate in Experiential Group Tasks guided by a new AI-enhanced brainstorming tool, designed to promote collaborative learning and practical application.
Receive Real-Time Feedback from expert facilitators with decades of experience in curriculum development.
Access Exclusive Resources, including detailed curriculum development and review guides.
Whether you're creating a new curriculum or refining an existing one, this course will help you avoid common pitfalls while embracing the power of GenAI to elevate your design process.
II. Designing Custom AI Assistants
Gen-AI Assisted Online Course
September 14-15, 2026 (9 AM- 1 PM ET)
Overview
Many health professions educators are interested in using Custom GPTs and AI assistants, but are unsure how to design them responsibly, align them with educational goals, or make them useful beyond simple content generation. This immersive two-day online workshop is designed to help educators move from idea to implementation through a structured, pedagogy-informed, and hands-on design process.
Participants will bring an educational challenge from their own context and work step by step to design a functional Custom GPT or AI assistant that supports teaching, assessment, feedback, curriculum development, evaluation, or scholarly work.
Led by Drs. Nehal Khamis and Belinda Chen from Johns Hopkins University, the course combines practical AI design, responsible use principles, and health professions education expertise. Participants will learn to apply the BUILDS framework, a structured methodology developed by Dr. Khamis to support responsible, pedagogy-informed Custom GPT design.
The BUILDS framework has already been used to guide the development of more than 15 functional Custom GPTs for health professions education, with applications across multiple U.S. universities.
No coding or prior AI experience is required.
What You Will Learn
By the end of this workshop, participants will be able to:
Identify an educational challenge that can be meaningfully supported by a Custom GPT or AI assistant.
Apply the stepwise BUILDS framework to design a pedagogy-informed AI assistant.
Translate educational goals, learner needs, and task requirements into clear AI assistant instructions.
Develop structured prompts and knowledge resources to guide the assistant’s performance.
Design safeguards to support responsible, ethical, and institutionally aligned AI use.
Test, refine, and improve a Custom GPT through iterative feedback and evaluation.
How You Will Learn
This course features a highly interactive blend of:
Short expert-led presentations
Hands-on Custom GPT design exercises
Step-by-step application of the BUILDS framework
Guided work on participants’ own educational challenges
Structured peer discussion and feedback
Real-time faculty coaching
A GenAI prompt library to support responsible AI assistant design
By the end of the course, participants will leave with a working, pedagogy-informed Custom GPT or AI assistant that they can continue to refine and apply in their educational setting.
Who Should Attend
Anyone interested in designing responsible AI assistants for teaching, learning, assessment, feedback, curriculum development, program evaluation, or educational scholarship, this includes but not limited to:
Health professions educators and administrators
Course directors and curriculum leaders
Program directors and faculty development leaders
Assessment and evaluation leaders
Simulation educators
Educational scholars and researchers
Graduate faculty and academic program leaders
Whether you are new to AI or already experimenting with GenAI tools, this workshop will provide a structured process, practical examples, and expert guidance to help you design AI assistants that are educationally meaningful and responsibly implemented.
Examples You Can Build
During the course, participants may design AI assistants such as Curriculum mapper, OSCE scenario builder, MCQ generator, Course tutor, Program evaluator, Research protocol reviewer, Feedback analyzer, and more.
Participants are encouraged to bring their own educational challenge so the assistant they build is directly relevant to their context and future work.
Course Faculty
Nehal Khamis, MD/PhD, MEHP, MAMSE
Lead AI Integration, Master of Education in the Health Professions Program, Johns Hopkins University
Developer of the BUILDS Framework
Belinda Chen, MD
Director, Faculty Development Programs in Curriculum Development, Johns Hopkins University
Related Publication
This course is grounded in the BUILDS framework, developed by Dr. Nehal Khamis to support responsible, pedagogy-informed design of GenAI tools and Custom GPTs in health professions education.
Khamis N, Ungaretti T. From Curiosity To Competence: A Structured Faculty Development Model for AI Integration in Health Professions Education. Med Sci Educ. 2025;35(6):2693-2698. Published 2025 Nov 17. doi:10.1007/s40670-025-02573-8
Course Dates
Dates: Monday and Tuesday, September 14 and 15, 2026
Time: 9:00 AM to 1:00 PM US ET
Course Fees
Please fill the registration form and proceed to checkout to reach the payment page. You will receive a payment confirmation email. This is important to confirm your registration.
Limited-time discount: $500 instead of $700.
A payment processing fee may be added by the payment processing provider. These processing charges go to the payment provider and not to SMES.
III. Evaluating With Excellence
AI Assisted Program Evaluation Online Course- October 19, 20 & 21, 2026
(9 AM- 2 PM ET)
Use Promocode SMESPE26 for 25% Discountat Checkout ($1200 Instead of $1600)
Overview
One of the common barriers to effective program evaluation in health professions education is the perception that it’s too complex, overly technical, or ethically sensitive. This immersive two-day course is designed to demystify program evaluation through a structured, practical, and GenAI-assisted approach to Continuous Quality Improvement (CQI).
Led by Drs. David Kern and Nehal Khamis (Johns Hopkins University), and enriched by the participation of Dr. Piyush Mathur (Cleveland Clinic), the course blends foundational theory with cutting-edge tools—enabling participants to design meaningful, ethical, and stakeholder-centered evaluation plans that drive real improvement.
What You Will Learn
Discuss the role of program evaluation in driving educational quality and outcomes.
Apply a stepwise framework to design, implement, and refine program evaluations.
Construct a logic model to clearly describe your program.
Use engineered GenAI prompts to develop and enhance your evaluation questions, data collection tools, and reporting plans.
Address ethical considerations and evaluation standards across all steps.
Explore how Big Data and AI are transforming evaluation practice in medical education.
How You Will Learn
This course features a dynamic blend of:
-Short expert-led presentations
-Hands-on GenAI-powered small group exercises
-Structured breakout discussions
-Real-time feedback from expert facilitators
-Live guest session on AI and Big Data in program evaluation
Who Should Attend
This course is ideal for:
Health professions educators and program directors
Directors and assistant/associate/vice deans of assessment, evaluation and CQI.
Faculty development leaders
Simulation and CQI professionals
Anyone seeking to advance their program evaluation skills using GenAI
Whether you are new to program evaluation or looking to enhance your existing skills, this course will provide valuable tools, structured guidance, and practical insights you can immediately apply to your educational projects.
Course Faculty
Patricia Thomas, MD, FACP
Emeritus Professor of Medicine, School of Medicine, Johns Hopkins University, and first editor of the famous “Curriculum Development in Medical Education: A Six-Step Approach” Book.
Nehal Khamis, MD, PhD, MHPE, MAMSE (affil.)
Adj. Prof of Health Professions Education and AI Applications in HPE, Masters of Education in Health Professions Program, Johns Hopkins University, FAIMER Program Evaluation Consultant, Member of ROI of Simulation National Taskforce, & ACS Accreditation Surveyor
Guest Speaker
Piyush Mathur, MD, FCCM, FASA, FAMIA
Associate Professor and Innovation Lead, Department of Anesthesiology, Cleveland Clinic Learner College of Medicine, Case Western Reserve University and Co-founder, BrainX AI, Cleveland, Ohio.
Course Dates
Monday, Tuesday & Wednesday, October 19, 20 & 21, 2026
(9.00 AM-2.00 PM EST)
Course Fees
Please fill the registration form and proceed to checkout to reach the payment page. You will receive a payment confirmation email. This is important to confirm your registration.
Use Promocode SMESPE26 for a 25% discount:$1200 instead $1600.
A payment processing fees of 2.9%+ 0.30 USD is added by the payment processing provider so your total at checkout will be S1236. These processing charges go to the payment provider and not to SMES.
Past Courses
