Online AI Builder Fellowship - Student Edition
Online program. 5 projects. 6 weeks. 1 live portfolio. No coding background needed.
Note: cohorts run with minimum 2 students for peer learning and maximum 5 students to keep support hands-on.
11th grade AI builder
Recorded walkthrough - research, synthesis, and data analysis with AI tools.
Described what I wanted, AI built it, then shipped it to a public URL.
Recorded demo showing message routing, memory, and LLM responses.
5
projects
5
repos
12
signups
How students build every project
Every project follows the same loop: understand the problem, shape the product, ship it publicly, then improve from feedback. Students use AI for speed, but the thinking stays theirs.
The Builder Loop
Students move phase by phase, then use the final feedback step to restart the next build cycle.
Turn a vague idea into a clear problem, product direction, and first interface.
Claude / Perplexity / NotebookLM
Claude
Claude Design / Stitch
Use AI-assisted development to create, test, and save the working product.
Claude Code - phase-wise plans
Localhost
GitHub
Put the project online and share it with real people.
Vercel
Use feedback to decide what the next research cycle should focus on.
Jules / Ploy
Claude / Perplexity / NotebookLM
Claude
Claude Design / Stitch
Claude Code - phase-wise plans
Localhost
GitHub
Vercel
Jules / Ploy
Want to know whether this build loop fits your student's current level?
Weekly build plan
Three live sessions a week, plus a demo session and a build setup checkpoint before students start shipping web projects.
Week 1
Tue / S1
Perplexity, Claude Deep Research, NotebookLM.
Thu / S2
Drafting, summarising, tone adaptation.
Sat / S3
CSV to patterns to chart using Claude / Gemini.
Show over tell
Recorded AI tool demo
Build Setup
Tue / S0
10-min visual map. Websites, servers, localhost, and deploys.
Thu / S0
VS Code, Node.js, GitHub, Vercel, Supabase accounts created.
Sat / S0
Run npm locally and learn to read error messages as information.
Before building
Tools installed and working
Week 2
Tue / S1
Describe it, AI builds it. No terminal, no commands.
Thu / S2
Context, constraints, persona, output format.
Sat / S3
Better prompts. Live URL shipped.
How to tell a story
Live portfolio URL
Week 3
Tue / S1
Triggers, actions, live automation built in session.
Thu / S2
Connect to n8n and map a controlled message flow.
Sat / S3
Supabase table, Gemini responses, and recorded walkthrough.
Systems thinking
Recorded WhatsApp agent demo
Week 4
Tue / S1
5 ideas with AI. Pick one. 30-min PRD.
Thu / S2
Live on Vercel in one session.
Sat / S3
Razorpay pay link via MCP. Share with 5 people.
Build what people want
Live idea test validated with real people
Week 5
Tue / S1
Problem student cares about. PRD + scope.
Thu / S2
Claude Code + Gemini API. Context engineering woven in.
Sat / S3
Live to parents, AI Garage community, invited guests.
Expert feedback
AI-powered product, demoed live online
Week 6
Tue / S1
Identify weakest project, prioritise polish.
Thu / S2
Final polish across portfolio.
Sat / S3
Build in public, distribution first.
Build in public
Content strategy for distribution
Demo session
2-hour session before the program starts. Watch research to PRD to design to build to deployed product in real time.
Proof of work students leave with
01
Proof 01
Built by describing, not coding. Live from week 2.
01
Built by describing, not coding. Live from week 2.
02
Research, writing, or data - the student's voice on camera.
03
Walkthrough of the agent flow, memory, and edge-case handling.
04
Live page + pay link, tested with real people.
05
Built and demoed live online to parents and community.
+
All projects saved as proof of work.
Sample week-6 student profile
A personal website that becomes a public proof-of-work profile, with every project linked as a live page, recorded demo, repo, or validation artifact.
11th grade AI builder
11th grade student building AI tools to solve real problems - study workflows, recorded agent demos, validated product ideas, and a final AI product.
Projects
Recorded walkthrough - research, synthesis, and data analysis with AI tools.
Described what I wanted, AI built it, then shipped it to a public URL.
Recorded demo showing message routing, memory, and LLM responses.
Landing page plus pay-link validation shared with real people.
Demoed live online to invited parents, founders, and educators.
5
project artifacts
5
public repos
12
waitlist signups
30+
demo guests
Share your student's current profile and we'll map what their week-6 proof of work could look like.
Tools students use
Most tools are free or provided during the fellowship. Families should expect one paid AI assistant subscription for the best build experience.
Paid subscription
or ChatGPT Plus. Primary AI assistant for the program.
~Rs 2,000/month
Free for students
Gemini + Deep Research through student/Jio access where available.
Rs 0 for eligible students
Provided by AI Garage
Full n8n access provided for the duration of the fellowship.
Included
Not sure what accounts or subscriptions your student already has? We can check that before enrollment.
Price, fit call, and what is included
Per student - 6 weeks - online cohort
Rs 19,999
Payment to be considered after fit between student/parent and program.
Note: each cohort needs at least 2 students for peer learning and is capped at 5 students for hands-on support.
Included free - worth Rs 4,999
Students stay connected to India's active AI builder community after the 6-week program ends.
Rs 4,999
Rs 0
free for 1 year
Watch the method before paying.
Tools ready before web projects.
Three guided sessions each week.
Live proof of work, not just theory.
Help while students build.
Profile, workshops, events, and relevant opportunities.
