• The proposed course will give detailed insight about role of Artificial Intelligence in Clinical Research.
• Online lectures based course specially designed for students, researchers, teachers of all Science, Engineering and Technology Studens

• AI and its significance in Clinical Trials
• An introduction to Trial Data
• How AI Works
• Data Cleaning & Preparation in R
• Role of AI in Clinical Trials
• Introduction to Tools: R, Python, KNIME, and ChatGPT
• AI with Python: Your First Prediction
• AI Without Coding: Build a Workflow in KNIME
• Prompt Engineering for Clinical Teams
• Document Intelligence: Using AI to Review Protocols
• Agentic AI: The Future of Clinical Automation
• Build a Mini Use Case
• AI in the Clinical Research Workforce
• Ethics, Bias & AI Regulation in Trials
• Career Roadmap

At the end of the course, participants will be able to:

• Clearly understand how AI is applied in clinical trials.
• Explain core concepts of AI, including Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Agentic AI.
• Demonstrate familiarity with Python, R, KNIME, and GenAI tools used in the clinical research industry.
• Apply acquired knowledge to perform real-life clinical trial tasks.
• Develop a mini-project to showcase their newly acquired skills.

• To equip participants with a clear understanding of how AI is applied in clinical trials, including core concepts like ML, NLP, GenAI, and Agentic AI.
• To provide hands-on exposure to industry-standard tools such as Python, R, KNIME, and GenAI tools, enabling participants to apply their knowledge to real-life clinical trial tasks and build a mini-project.