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Front-end AI Engineering

Ship a responsive, mobile-optimized website or ecommerce-style project with clean Tailwind execution.

Overview

What this track proves.

Front-end AI

This track is for people who want to build practical websites with AI in the loop. You will work with Tailwind, modern frontend frameworks, and template languages while practicing personal websites, simple Shopline projects, simple Shopify projects, responsive optimization, and design-to-pixel-perfect execution.

Pace

6-10 hrs/week

Prerequisites

Basic HTML, CSS, and JavaScript help. React, Tailwind, and template patterns can be learned in the track.

Capstone

Choose one: personal site, Shopline/Shopify build, or client-style responsive site.

Review

Async review on visual fidelity, responsiveness, code structure, and browser QA notes.

Good fit

This is for you if...

You want to turn designs, templates, or rough ideas into working websites.
You care about responsive layouts, mobile polish, and pixel-perfect execution.
You want AI to help you implement faster while you still own QA and final judgment.
Outcomes

What you can leave with.

The goal is proof of work, not passive course completion.

Ship a personal website, client-style page, or ecommerce storefront concept with responsive pages.
Translate a design or template into a clean Tailwind implementation with strong visual fidelity.
Build common website sections such as navigation, product cards, collections, CTAs, forms, and content blocks.
Document the AI prompts, implementation decisions, debugging steps, and desktop/mobile QA you used.
Optional Anthropic courses when partner access allows. Read the FAQs. Your capstone remains the main credential proof.
Curriculum

The work, in order.

01

Site foundations

Use modern frameworks, Tailwind, and template languages to structure pages, sections, and reusable blocks.

02

Responsive execution

Build layouts that match the design direction, work on mobile, and avoid the common spacing and overflow issues.

03

Storefront patterns

Practice simple Shopline and Shopify-style pages: product cards, collections, detail sections, trust blocks, and CTAs.

04

AI implementation QA

Prompt for code, debug with AI, then verify responsiveness, accessibility basics, and pixel-perfect details yourself.

Capstone examples

The artifact can take a few shapes.

Choose one direction: a personal website with responsive pages, polished sections, and a public link.
Choose one direction: a simple Shopline project with product, collection, and landing-page patterns.
Choose one direction: a simple Shopify project or theme-style storefront with documented implementation notes.
Choose one direction: a small client-style website built from a design brief with pixel-perfect QA notes.
Builder signal

What Builder-level work looks like.

Builder means you have shipped a responsive website or storefront-style project and can explain how AI helped, what you rewrote, and how you verified the final experience.

Tool access

What you need to start.

The track is designed around accessible tools and clear alternatives. Use this as a practical setup check before applying.

ToolAccessAlternatives and caveats
Code editor with AI help
Required

Cursor, VS Code with Copilot, or another editor plus ChatGPT/Claude

You can use any editor if you can run, edit, and explain the code.

Frontend stack
Required

Next.js/React, Vite/React, Astro, Tailwind, Liquid, or another template-based stack

Use the stack that fits the site; clean responsive execution matters more than framework complexity.

Ecommerce workspace
Helpful

Shopline, Shopify theme concepts, static storefront mockups, or a simple product catalog

A live paid store is not required; reviewers need a clear public artifact or walkthrough.

Deployment
Required

Vercel free tier, Netlify, Cloudflare Pages, or GitHub Pages for static projects

Your final link must be public enough for review.

Next.jsReactTailwind CSSShoplineShopifyTemplate languagesVercelCursor or Copilot