AI for Evidence-Based Practice, Public Health & Real
Community Impact
Who Should Enroll in this Internship?
MBBS, BDS, B.Sc. Nursing, B.Pharm, BPT, Medical Lab Completion of the 3rd Year Foundation Track Technology and allied health programmes (subject recommended. No coding required. to eligibility)
Outcome-Centred • Real Industry Client Project • Professional Portfolio & Viva
Structured in direct compliance with university credit transfer policies, emphasizing practical productivity over theoretical lectures.
Key Program Learning Objectives
19 Intensive Days • 120-Hour Day-by-Day Syllabus
Phase 1: Advanced AI Workflows
The Skill Check (diagnostic)
• A timed mixed challenge on research, NotebookLM, Docs, Canva and Sheets. • Self-rating against a skills checklist. • Results decide Standard or Advanced Tier challenges.
Advanced Prompt Structures
• Role, context, constraints, examples and output format together. • Few-shot prompting: teaching AI with examples. • Asking AI to question you before it answers.
Prompt Chaining & Iteration
• Breaking a big task into a chain of prompts. • Self-critique and refinement prompts. • Comparing ChatGPT, Gemini and Claude on the same chain. ADVANCED TIER Make it flag claims not found in the paper.
· PRACTICAL BRIEF
The Evidence Summary Template • Design a prompt chain that summarises a paper in PICO format. • Test on three papers. • Fix what breaks and document the final version. TOOLS ChatGPT, Gemini, Claude EXPECTED OUTPUT gest,
EXPECTED OUTPUT • Build five templates: PICO summary, guideline digest, leaflet Medical Prompt Library draft, case summary, journal-club notes. No coding required · Free-plan tools preferred 4
Day 1 verified practical artifact.
Phase 2: Deep Domain Synthesis
Phase 3: Data Pipelines & Models
Phase 4: Client Briefs & Setup
Ready to Accelerate Your Career with Industry Credentials?
Reserve your seat in the upcoming university batch for AI for Evidence-Based Practice, Public Health & Real. Get hands-on mentorship, real capstone codebases, and verified certificates.