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Amplify with AI · 8-Day Builder Cohort

In 8 days, go from AI curiosity to building the prototype you want to build.

8-Day AI-Native Builder Cohort. Every student builds a working AI prototype — an idea they choose — using Cursor, GitHub, AI models, and Railway. Prework takes 45–60 minutes. Theme: Build → Ship → Deploy → Iterate.

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Not registered for the cohort yet?

You can explore all prework content now. When you are ready, join the cohort to receive your Application Reference ID, then return here to submit it and complete prework.

Join Cohort

Build

Design and code the prototype you want to build with Cursor AI.

Ship

Version, collaborate, and track progress with GitHub.

Deploy

Share a working demo online with Railway.

Iterate

Test, improve, and evolve your prototype.

AmplifyWelcomeSetupGitHub + CursorAI FoundationsBuild ExercisesReady to BuildSubmit IDCohort PreviewIdeas
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Welcome

You are entering the AI-native era.

AI is no longer just a tool. AI is now part of the software development lifecycle.

This is not passive learning. This is a new builder culture emerging.

This cohort is not a fixed intelligent-systems template. You bring the idea; we give you the stack, workflow, and support to build, demo, and iterate on it publicly.

Live Coding Agents

Code with AI. Build with purpose.

Builder Workflows

Automate. Orchestrate. Accelerate.

Real Builder Challenges

Solve real problems. Win real impact.

Futuristic Collaboration

Connect. Create. Co-build the future.

Prerequisites

  • No advanced AI background required
  • Beginner-friendly but ambitious
  • Laptop required (macOS or Windows)
  • Curiosity and willingness to build publicly matter most

You will understand

  • How to choose and scope your own prototype idea
  • How prototypes move from idea to working demo
  • How AI changes engineering
  • How coding agents accelerate workflows
  • How deployment and sharing work
  • How to think like builders

Why Amplify with AI?

The shift, the problem, and why AI-native building matters now.

Build Real AI Products in 8 Days

How the cohort works — you choose the prototype; we teach the stack to build, demo, and iterate on it.

Enrollment

₹4,999 per student · ₹8,999 for 2 students together (10% off). Few seats. Real builders. Big impact.

Join CohortLearn more on the Amplify program page

Setup Guide

Install your builder stack.

Minimal tooling only — get ready for Days 2–7. Complete the checklist to auto-mark this section.

Cursor

AI-native coding environment

GitHub

Portfolio and version control

Railway

Share working prototypes online

OpenAI / Anthropic / Gemini

AI model access

Node.js (LTS)

JavaScript runtime

React + Vite

Frontend starter stack

You're ready if…

Troubleshooting

Cursor will not install

Restart your machine, confirm OS compatibility, or use VS Code as a temporary fallback.

Git push fails

Check GitHub authentication (personal access token or SSH key) and confirm the remote URL.

Railway signup issues

Try a different browser or email provider. Deployment depth is covered during the cohort.

GitHub + Cursor

Your portfolio starts now.

GitHub is public proof of building. Cursor is how AI-native engineers build faster.

GitHub workflow

  1. 1Create your GitHub account
  2. 2Clone the amplify-starter repository
  3. 3Make a visible edit (README tagline or hero text)
  4. 4Push to a public repo — your portfolio starts now
Open amplify-starter repo

Cursor workflow

  1. 1Install Cursor and sign in
  2. 2Open your cloned starter project
  3. 3Use AI chat to explain the project structure
  4. 4Generate or refine one UI component with AI assistance
  5. 5Debug one issue with AI pair programming
  6. 6Commit and push your changes

Academic integrity

AI-native engineers use AI to amplify capability — not outsource thinking. Build with AI; own your decisions.

AI Foundations

Orientation, not instruction.

Build intuition and excitement. The real depth happens live in the cohort.

Internet EraMobile EraCloud EraAI-Native Era

What happens when intelligence becomes programmable?

Idea
Research
Prototype
Code with AI
Version Control
Deploy
Feedback
Improve
Scale

AI-native lifecycle

Ideas move through build, ship, deploy, and iterate — with AI embedded at every step.

Your prototype idea

You choose what to build — productivity, education, research, creativity, or something entirely your own.

Coding agents

AI as an engineering partner that accelerates design, code, and debugging.

Demo culture

A working prototype beats a perfect plan. Real builders show progress publicly.

Build Exercises

Warm up your builder workflow.

1–2 lightweight mini-builds. The strongest exercises stay inside the live cohort.

AI Notes Generator

15 min
  1. 1.Open your starter project in Cursor
  2. 2.Create a simple page where users paste text
  3. 3.Use AI assistance to add a summarize action
  4. 4.Push your changes to GitHub

A lightweight warm-up that connects UI, AI assistance, and version control.

Landing Page Generator

20 min
  1. 1.Pick a project idea you care about
  2. 2.Use Cursor to scaffold a Vite/React landing page
  3. 3.Add a headline, problem statement, and call to action
  4. 4.Optional: deploy a hello-world version to Railway

Your first public-facing builder artifact before Day 2.

Optional: share a screenshot or GitHub link in the community. No formal submission for v1.

Inside the cohort

What the 8 days look like.

Preview only — this is not prework and not day selection. The live cohort starts on Day 1 after you complete setup below.

Preview · not required for prework
Day 1 (FREE)FREE SESSION

AI-Native Product Thinking

What does it mean to build with AI?

Understand the lifecycle and choose what you want to build.

Worldview shiftProduct lifecycleChoose your buildLive demo8-day journey preview
Day 2

Cursor + AI Coding Workflows

Coding is becoming orchestration.

Start building your chosen prototype with coding agents.

Cursor workflowsAI pair programmingMulti-file editingFirst UI for your idea
Day 3

GitHub + Collaboration

Software is collaborative intelligence.

Public repo, contribution workflow, portfolio visibility.

Git fundamentalsCommits and branchesPull requestsGitHub as portfolio
Day 4

Frontend + Product UX

AI products still need human experience.

Shape usable interfaces for the prototype you are building.

React/Vite basicsUI thinkingAI interaction designUser flows for your idea
Day 5

AI Models + APIs

Intelligence is now an API.

Connect your prototype to AI models.

LLM basicsAPI integrationStructured outputsChat, summarize, and generate
Day 6

Memory + Context + RAG

Useful AI remembers context.

Add context and memory to the prototype you are building.

RAG conceptsContext windowsDocument uploadWhy ChatGPT alone is not enough
Day 7

Railway + Deployment

Real builders share working demos.

Your chosen prototype goes live with a public URL.

Deployment basicsEnvironment variablesProduction mindsetRailway hosting
Day 8

Product Demo Day

From learners to builders.

Present the prototype you built — your idea, your demo, your portfolio piece.

Demo presentationsYour build storyGamification categoriesNext pathways

You will build

  • A working AI-powered prototype
  • Public GitHub repository
  • Shared demo on Railway (when ready)
  • Portfolio-ready project you chose
  • End-to-end ownership of your build

Demo Day categories

Best ProductBest UXBest AI WorkflowBest DeploymentFastest BuilderMost Creative

Resources · Community · Capstone

Ready to build.

Final orientation before the cohort begins.

Resources

Prompting basics

  • · Be specific about what you want built
  • · Provide context about your stack and constraints
  • · Ask AI to explain before it edits
  • · Iterate in small steps, not one giant prompt
  • · Review and own every change you ship

Community

  • Help others when you can
  • Ship publicly and share progress
  • Ask questions freely
  • Respectful collaboration always

Intro template

Hi — I'm [Name] from [Institution].
I want to build: [one-line idea]
Why I joined: [motivation]

Community link shared after registration.

@atrisi.amplifywithai

Capstone rubric preview

  • Usefulness

    Does it solve a real problem?

  • Creativity

    Is your angle distinct?

  • Deployment

    Is it live and accessible?

  • AI workflow quality

    Did you use AI intentionally?

  • Execution

    Is it polished enough to demo?

Advanced pathways available through the ATRISI Fellowship.

Official Prework Completion

Submit your registration ID to complete prework

No login required. Enter the Application Reference ID from your cohort registration confirmation along with the same email you used to register.

Shown on the join-cohort confirmation screen and in your confirmation email as Application reference.

Add this if it appears alongside your Application reference.

Must match the email used when you registered for the cohort.

Not registered yet?

Join Cohort

Build today. Demo tomorrow. Impact forever.

Ready to join the builder cohort?

Finish the prework sections above, submit your registration ID if you are already enrolled, or join the cohort now to get your Application Reference ID. The cohort preview and idea gallery are optional reading.

Join CohortExplore Amplify with AIhello@atrisi.org