Dr. Chandra Bondugula

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Faculty Development Program (FDP) on AI in Medical Education

Empowering educators for the future of medical learning

Artificial Intelligence (AI) is transforming healthcare and research; medical education must evolve, too. This Faculty Development Program (FDP) equips faculty with AI skills and competencies to integrate AI into teaching, research, and assessment, thereby fostering the development of future-ready medical professionals.

Program Highlights

Introduction to AI fundamentals, applications of AI for classroom teaching, creating lectures, and research.

Practical hands-on sessions for
curriculum development, assessment, and feedback with AI.​

Guidance on navigating the ethical, privacy, and accuracy considerations when incorporating AI in education.

Outcomes

By the end of the program, participants will

Understand core concepts of AI and its impact on medical education.

Gain confidence in using AI to enhance teaching, simulation, and assessment. ​

Learn to generate, evaluate, and implement AI-driven educational content.​

Who Should Attend

A small group of medical professionals sit around a boardroom table as they meet to discuss patient cases. They are each dressed professionally in scrubs and lab coats as they work through the case files spread out on the desk collaboratively in small groups.

Medical, Dental, Nursing, Allied Health Faculty

Artificial-Intelligence-in-Healthcare

Academic Leaders

Material Overview

This FDP on AI in Medical Education combines core concepts, practical tools, and innovative teaching strategies through interactive modules and workshops.

Module 1

Understanding AI in Medical Education & Healthcare

Gain a clear understanding of AI concepts, trends, and their relevance to medical education.

  1. Basics of AI, machine learning, and data analytics
  2. Applications of AI in healthcare and teaching
  3. Impact, Opportunities, and Challenges for Educators

Module 2

Evidence-based AI Pedagogy

Learn to embed AI tools in instructional design, teaching, and learning processes.

  1. Hands-on introduction to popular AI platforms (adaptive & personalized learning).
  2. Strategies to incorporate AI into classroom instruction, lectures, didactics, and curriculum.
  3. Demonstration, peer discussions, and AI-based Simulations for teaching.
  4. Research-backed teaching methods adapted for AI-enhanced classrooms.
  5. Case studies of successful AI pedagogy in higher education.

Module 3

Assessment, Analytics, and Ethics

Use AI for smarter assessment and informed decision-making while ensuring fairness and transparency.

  1. Learning analytics to track learner progress and feedback systems
  2. AI-supported assessment and evaluation
  3. Ethical use of AI: privacy, bias, and responsibility

Module 4

Innovation Project and Peer Learning

Apply what you’ve learned by designing an AI-integrated teaching project.

  1. Capstone project to redesign a teaching module
  2. Peer feedback and mentoring

Step Into the Future of Learning

Upgrade your teaching with AI with our hands-on Faculty Development Program to

gain practical skills to integrate Artificial Intelligence into teaching.

Register Today