AI Web Studio · Level 2 — Engineer

AI Full-Stack Developer

From Website to Complete Web Application

I can understand and build a complete web application with AI.

Take Self-Assessment Projects & capstone
OverviewDay-by-dayProjectsFees
30Days
6Weekly checkpoints
2Mini projects
1Market-oriented capstone
Tools & concepts you’ll work with
React TypeScript JavaScript Node.js Git REST APIs Auth & roles CI/CD
Curriculum

Your 30-day plan

Every day has one clear learning outcome, and every week ends with a checkpoint you must be able to explain and demonstrate.

Week1
Architect the Application
Days 1–5

Goal: Move from pages to application architecture.

  1. Day01

    Distinguish websites from applications using data, state and workflows.

  2. Day02

    Convert requirements into features, flows and entities.

  3. Day03

    Understand frontend, backend, API, database and authentication responsibilities.

  4. Day04

    Choose a stack with AI and explain practical trade-offs.

  5. Day05

    Design an application architecture before implementation.

Checkpoint: The student should be able to explain the ideas in their own words, use AI to implement or investigate them, inspect the result, and make a meaningful change.
Week2
Engineer the Frontend
Days 6–10 Mini Project 1

Goal: Build structured frontends with JavaScript, TypeScript and React.

  1. Day06

    Understand modern JavaScript needed for applications.

  2. Day07

    Understand why TypeScript improves maintainability and AI-generated code.

  3. Day08

    Explain components, props, state, events, forms and conditional rendering.

  4. Day09

    Structure React components sensibly.

  5. Day10

    Use AI to build/refactor while reviewing state and component behaviour.

Checkpoint: The student should be able to explain the ideas in their own words, use AI to implement or investigate them, inspect the result, and make a meaningful change.
Mini Project 1 is introduced this week — you choose one idea, then build it over two independent studio days. See project details
Week3
Connect
Days 11–15

Goal: Connect UI, APIs, backend services and persistent data.

  1. Day11

    Understand HTTP, API contracts, methods, status codes and errors.

  2. Day12

    Build/generate backend endpoints and connect them to the frontend.

  3. Day13

    Understand CRUD and database mapping.

  4. Day14

    Handle loading, empty, validation, success and error states.

  5. Day15

    Trace UI → API → backend → database → response.

Checkpoint: The student should be able to explain the ideas in their own words, use AI to implement or investigate them, inspect the result, and make a meaningful change.
Week4
Build Intelligent Features
Days 16–20 Mini Project 2

Goal: Build AI capabilities as application features.

  1. Day16

    Understand where AI belongs in an application architecture.

  2. Day17

    Build an AI-powered feature using a model/API.

  3. Day18

    Understand embeddings, retrieval and RAG at application level.

  4. Day19

    Design prompts and context around workflows.

  5. Day20

    Recognize hallucination, latency, cost, privacy and failure concerns.

Checkpoint: The student should be able to explain the ideas in their own words, use AI to implement or investigate them, inspect the result, and make a meaningful change.
Mini Project 2 is introduced this week — you choose one idea, then build it over two independent studio days. See project details
Week5
Production-Ready Engineering
Days 21–25

Goal: Make applications safer, testable, performant and cross-browser.

  1. Day21

    Understand authentication, authorization, sessions/tokens and validation.

  2. Day22

    Create meaningful tests for components, APIs and user flows.

  3. Day23

    Diagnose performance using measurements.

  4. Day24

    Test responsive behaviour and major browsers.

  5. Day25

    Use Git and understand CI/CD's role in delivery.

Checkpoint: The student should be able to explain the ideas in their own words, use AI to implement or investigate them, inspect the result, and make a meaningful change.
Week6
Ship & Defend the Application
Days 26–30 Capstone

Goal: Operate a complete application workflow.

  1. Day26

    Understand builds, deployments, environment variables and secrets.

  2. Day27

    Debug production-style issues using logs, browser tools and API responses.

  3. Day28

    Review architecture for maintainability and bottlenecks.

  4. Day29

    Explain technical decisions and evidence from testing.

  5. Day30

    Ship a complete application with production-oriented practices.

Checkpoint: The student should be able to explain the ideas in their own words, use AI to implement or investigate them, inspect the result, and make a meaningful change.
Capstone — a dedicated production and planning day, then you build independently and return for review after one week. See project details
How every session works

The studio pattern behind all 30 days

  1. story
  2. learn
  3. AI use
  4. live build
  5. analyze
  6. experiment
  7. streamline

Our AI philosophy

Students use AI to accelerate implementation, but must understand the important generated code/configuration and test changes.

Projects

Build, ship and defend your work

Two mini projects and a market-oriented capstone. You use AI to build faster — and you explain the important generated code and decisions.

How Mini Project 1 works

Students choose one idea. The project is introduced with 30 extra minutes on the introduction day. After introduction, use two independent studio work days for implementation; these are student build days rather than new lecture sessions.

Minimum requirements

  • Solve a clear user problem.
  • Use the concepts covered before the project introduction.
  • Use AI for at least one research/design/build/debug/review task.
  • Keep an AI context/prompt log.
  • Demonstrate a working POC.
  • Explain the important generated code and one thing that was changed after analysis.

Submission checklist

  • Problem statement
  • Target user
  • Sitemap or architecture (depending on level)
  • Working POC
  • AI prompt/context notes
  • One before/after improvement
  • Known limitation
  • 2-minute demo

Pick one idea · 30 options

  1. Local business landing page
  2. College club website
  3. Restaurant menu + enquiry
  4. Fitness studio site
  5. Photography portfolio
  6. Freelancer portfolio
  7. Event registration landing page
  8. Travel destination guide
  9. Pet-care service site
  10. Home tutor profile
  11. Student resume site
  12. NGO awareness site
  13. Local bakery site
  14. Salon appointment UI
  15. Real-estate property showcase
  16. Wedding invitation site
  17. Small hotel website
  18. Car/bike service centre site
  19. Interior designer portfolio
  20. Architect portfolio
  21. Digital marketing agency site
  22. Campus fest site
  23. Book club site
  24. Music teacher site
  25. Coaching institute landing page
  26. Local doctor information site (no medical advice feature)
  27. Art/illustration portfolio
  28. Startup product landing page
  29. Community sports club site
  30. Local tourism micro-site
Fees

Invest in Level 2 - AI Full-Stack Developer

One program, two ways to enrol. Students with a valid college ID save ₹10,000 on the same 30-day program.

Save ₹10,000Student fee₹30,000 + GSTWith a valid college ID · same program
Regular fee₹40,000 + GST30 days · 2 mini projects · capstone
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Self-Assessment · 10 questions

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AI Web Studio path

Where this level fits

Level 1 · Build ← PreviousAI Web Builder
Level 2 · You are hereAI Full-Stack Developer
Level 3 · Architect Next →AI Product Engineer
Your mentor

Learn From Someone Who Builds Systems at Scale

Your mentor has spent 15+ years architecting enterprise infrastructure and automation, so your guidance on building, deploying and scaling real products comes from production experience.

Sekhar
Connect on LinkedIn

Sekhar

  • Co-founder, Zenzo AI (zenzolabs.com)
  • Infrastructure Architect
  • Automation Leader
  • AI Builder

15+ years of experience architecting scalable, secure and automated infrastructure platforms. Specialized in virtualization, cloud automation and agentic AI to drive autonomous operations at enterprise scale.

15+Years experience
6+Global enterprises
1000+VMs managed at scale
40%+Manual effort reduced
Expertise
Cloud & VirtualizationAutomation & OrchestrationAgentic AI & LLMsCompliance & ReliabilityObservability & Analytics

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