Recordings of Live 2-Day Intensive Bootcamp

Dates: 13 & 14 December 2025

Time: 6:00 PM – 8:00 PM IST

Duration: 2 hours per day

(1.5 hours live hands-on demonstrations + 30 minutes dedicated doubt-solving)

Format: Live online | Recordings included (6 Months)

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Course Description

This hands-on bootcamp is designed for doctors across all specialties who want to use AI practically in their daily medical work—without learning coding or technical skills.

This is a live, cohort-based 2-day intensive bootcamp taking place on 13 and 14 December 2025, with each session lasting two hours. Each day includes focused hands-on demonstrations followed by dedicated time for clearing doubts. Session recordings will be available for all enrolled participants.

During the course, participants will build multiple real-world AI-powered assistive web applications representing common workflows across different roles in medicine. Live demonstrations during the bootcamp will include:

• Clinical practice workflows (e.g., OPD documentation, summaries, patient instructions)

• Diagnostic workflows (e.g., pathology or radiology report explanation and interpretation)

• Medical education workflows (e.g., AI-assisted quizzes and gamification for teaching and learning)

All applications demonstrated in this course are built live during the sessions, giving participants a transparent and practical understanding of how assistive medical apps are created, customized, and deployed using simple no-code tools such as Google AI Studio.

Participants will receive brief, high-level exposure to additional tools such as GitHub, Supabase, and n8n, solely to help them understand how real-world AI applications can be extended, structured, or automated. These tools are introduced conceptually only, without detailed technical instruction or setup.

After enrolling, participants will gain access to a dedicated WhatsApp group created exclusively for this bootcamp (link provided in the first course lesson). Enrolled participants may use this group to share a practical use-case idea from their own clinical, diagnostic, or teaching practice. Depending on session flow and time availability, selected ideas may be taken up for live demonstration during the bootcamp.

The course maintains a strong focus on real-world usability, responsible medical AI usage, and workflow efficiency, rather than on programming or software theory.

The goal of this bootcamp is not to teach tools, but to teach a repeatable method that doctors can use to build their own AI assistants for any medical specialty.