Program Description

Artificial Intelligence is transforming clinical research by accelerating literature review, improving protocol development, optimizing study design, and supporting evidence-based decision-making. This professional certificate program introduces participants to practical AI tools and prompt engineering techniques specifically designed for clinical research.

Participants will learn how to use Large Language Models (LLMs) such as ChatGPT, Gemini, and Perplexity to search scientific literature, design clinical studies, compare AI outputs, and generate high-quality research reports. Through structured demonstrations and hands-on exercises, learners will build practical workflows that can immediately improve research productivity.

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What You Will Learn

Module 1: Introduction to AI in Clinical Research

• Evolution of AI in clinical research
• Current applications across the research lifecycle
• AI opportunities and limitations
• Responsible use of AI in biomedical research

Module 2: Prompt Engineering for Study Design

• Principles of effective prompting
• Designing prompts for research questions
• Creating eligibility criteria
• Developing study protocols using AI
• Prompt templates for clinical research

Module 3: AI Literature Intelligence

• Searching clinical evidence efficiently
• Using Perplexity for evidence synthesis
• Summarising systematic reviews
• Identifying research gaps
• Citation-aware prompting

Module 4: Multi-LLM Comparison

• ChatGPT vs Gemini vs Perplexity
• Selecting the right model for different research tasks
• Comparing evidence quality
• Validating AI-generated responses

Module 5: Clinical Evidence Prompt Studio

• Structured prompt framework
• Evidence extraction workflow
• Clinical question answering
• Report generation
• Decision-support prompts

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What Makes This Program Unique

✅ Healthcare-specific AI training rather than generic AI tutorials

✅ Practical prompt engineering templates for clinical researchers

✅ Multi-LLM comparison to understand strengths of different AI models

✅ Evidence-based workflow focused on scientific accuracy

✅ Ready-to-use Prompt Studio for clinical literature analysis

✅ Hands-on demonstrations with real biomedical research examples

✅ Designed by researchers with applications in clinical and translational research

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Final Outcome

By the end of this program, participants will be able to:

• Use AI confidently for clinical research workflows.
• Design effective prompts for study planning and protocol development.
• Search and analyse biomedical literature efficiently.
• Compare outputs from multiple AI models and evaluate evidence quality.
• Generate structured clinical evidence summaries and research reports.
• Apply AI responsibly to improve research productivity and decision-making.

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Who Should Join

• Undergraduate Pharmacy Students
• PharmD Students
• M.Pharm Students
• Medical Students
• PhD Scholars
• Clinical Research Professionals
• Clinical Trial Coordinators
• Pharmacovigilance Professionals
• Faculty Members
• Healthcare Researchers
• Biotechnology Professionals
• Medical Writers
• Research Associates
• Anyone interested in applying AI to clinical research and evidence-based healthcare.