AI Web Studio · Level 1 — Build

AI Web Builder

From Idea to Client-Ready Website

I can turn an idea or client requirement into a professional, responsive, interactive and deployable website with AI.

Take Self-Assessment Projects & capstone
OverviewDay-by-dayProjectsFees
30Days
6Weekly checkpoints
2Mini projects
1Market-oriented capstone
Tools & concepts you’ll work with
HTML5 CSS3 JavaScript GitHub VS Code AI-assisted building SEO & analytics
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
Discover & Understand
Days 1–5

Goal: Turn an idea into a clear website requirement.

  1. Day01

    Identify audience, goals, content, pages and primary CTA.

  2. Day02

    Create a simple sitemap and user journey.

  3. Day03

    Understand browser, frontend, backend and server at a high level.

  4. Day04

    Use AI for research, requirements and content planning.

  5. Day05

    Distinguish requirements, pages, sections, components and features.

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
Design, Style & Build
Days 6–10 Mini Project 1

Goal: Turn requirements into a professional visual plan.

  1. Day06

    Understand hierarchy, spacing, typography, colour and responsive design.

  2. Day07

    Create wireframes or visual references.

  3. Day08

    Break pages into sections and reusable UI components.

  4. Day09

    Use AI for design directions, copy and visual ideas.

  5. Day10

    Evaluate clarity, consistency, mobile usability and conversion.

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
Create, Polish & Enhance
Days 11–15

Goal: Understand and use the building blocks of websites.

  1. Day11

    Explain HTML, CSS and JavaScript practically.

  2. Day12

    Read basic HTML and identify semantic elements.

  3. Day13

    Understand CSS layout, styling, responsiveness and animation.

  4. Day14

    Understand basic JavaScript interactions.

  5. Day15

    Use AI to generate pages and inspect the generated code.

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
Add Interactivity & Intelligence
Days 16–20 Mini Project 2

Goal: Add useful behaviour and basic data-backed features.

  1. Day16

    Know when a site needs JavaScript, backend, API or database.

  2. Day17

    Explain browser → server → API → database at a simple level.

  3. Day18

    Use AI to add forms, validation and API calls.

  4. Day19

    Understand records, fields and basic relationships.

  5. Day20

    Change generated code/configuration and observe the result.

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
Make It Real
Days 21–25

Goal: Make a working site discoverable, accessible and trustworthy.

  1. Day21

    Apply SEO basics.

  2. Day22

    Check accessibility basics.

  3. Day23

    Understand practical performance issues.

  4. Day24

    Apply basic security/privacy thinking.

  5. Day25

    Use analytics, forms/email and feedback to improve the site.

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 a Client-Ready Website
Days 26–30 Capstone

Goal: Deploy and deliver a client-ready website.

  1. Day26

    Understand domain, hosting, DNS and deployment basics.

  2. Day27

    Test desktop/mobile and important browser flows.

  3. Day28

    Debug common UI and interaction problems with AI.

  4. Day29

    Explain what was built and what needs maintenance.

  5. Day30

    Deliver and hand over a professional live website.

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 1 - AI Web Builder

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₹20,000 + GSTWith a valid college ID · same program
Regular fee₹30,000 + 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 · You are hereAI Web Builder
Level 2 · Engineer Next →AI Full-Stack DeveloperLevel 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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