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AI-Powered Web Development

Built as the next step after Intro to Web Development, this course takes students from static HTML/CSS/JS pages into full, working web applications — backend servers, real databases, terminal and package management, and live deployment — while using AI as a creative and technical partner rather than a shortcut. Starting from a simple idea, students learn to plan, prototype, build, test with real users, and deploy live projects, going well beyond the frontend fundamentals into how the web actually runs behind the scenes.

4.9 star reviewsout of total 93

4 Months

2 Hour Class

Medium

Online - Zoom

Why take this course?

This course uses a Project-Based Learning (PBL) approach centered on building small, complete, "worth visiting" web experiences rather than one enormous project. Students learn that value doesn't come from scale — a well-crafted tiny experience can matter more than an unfinished big idea. Along the way, students learn HTML, CSS, and JavaScript fundamentals, how to prompt and collaborate with different AI models (and understand what each is actually good at), how to move code between tools like VS Code, Google AI Studio, and Lovable, and how to take a project from a local file to a live website using platforms like GitHub Pages, Vercel, and Render. Students also learn foundational software engineering practices — Git branching, pull requests, and collaborating on one shared codebase — plus how to run real user testing and use that feedback to improve their designs. Every student leaves with multiple live, working projects and a portfolio-ready final project of their own.

Prerequisites:

To maximize the benefit of this course, students must be age 10 and above or have the qualifications mentioned below.
Qualification of Intro to Web Development, or working knowledge of HTML, CSS, and JavaScript fundamentals from another course or self-study, is recommended — this course builds directly on those basics rather than re-teaching them.
Some prior exposure to programming basics (loops, variables, conditions — e.g. from Scratch or a beginner coding course) is helpful if a student has not taken Intro to Web Development, as students will build these concepts further using AI tools as part of the course.
A typing speed of 20 Words Per Minute (WPM) is recommended, since students will be reading, prompting, and lightly editing code throughout. For practice, you can visit these websites:
- typing.com/student/tests
- monkeytype.com
Comfort navigating between different software windows/tabs (a code editor, a browser, a terminal, and an AI tool at the same time) is helpful, as this course involves regularly moving between multiple applications.
No prior design knowledge is required — students will learn to identify good and bad design practices as part of the course, through building, comparing references, and getting real feedback from user testing.

Course Outline

4 Month Plan

1) Foundations & First Builds

a) Web Fundamentals & the AI Toolkit

Students learn the basic building blocks of the web — HTML for structure, CSS for style, and JavaScript for behavior — while comparing different free AI models and understanding what kinds of tasks each one handles well versus poorly.
Students explore reference sites (Neal.fun, Awwwards, Bored) to build a taste for what makes a small web experience worth visiting, and start sketching their own "tiny experience" ideas.

b) Prompting, Reading, and Debugging Code

Students learn to write clear, specific prompts for AI tools, and — just as importantly — to read the code that comes back, understand what it does, and debug it when it breaks.
Students build their first tiny project end-to-end (idea to working page) using VS Code alongside an AI assistant.

c) Moving Between Tools

Students learn to build the same feature in different environments — Google AI Studio, Lovable, and VS Code — and practice taking code generated in one tool and adapting it to work in another.
Students discuss the tradeoffs of each tool: speed versus control, and when a no-code/low-code AI builder is the right choice versus writing and owning the code directly.

d) Good and Bad Design, By Comparison

Students compare strong and weak versions of the same simple interface and learn to name what makes one work better — spacing, hierarchy, feedback, and interaction.
Students start a lightweight design checklist they will keep using and adding to for the rest of the course.

2) Git, Collaboration & Deployment

a) Version Control Basics

Students learn what Git is and why developers use it, and set up their first GitHub repository for their own tiny project.
Students learn to make commits with clear messages and understand the idea of project history.

b) Branching & Pull Requests

Students join one shared class GitHub project and learn to create a branch, make a change, and open a pull request without breaking anyone else's work.
Students practice reviewing a classmate's pull request and leaving feedback, learning how real development teams collaborate on one codebase.

c) Taking a Project Live

Students learn the difference between a static frontend and a running backend process, and why some hosts (like GitHub Pages) can only serve static files.
Students deploy a static project using GitHub Pages, then deploy a project that needs a live backend process using Render or Vercel, and compare what changes.

d) Frontend vs. Backend, Made Visible

Students build a small feature that only works correctly when data is shared across visitors (like a shared counter or a "claimed" status), and see it fail using only frontend storage — then watch a real backend process start and stop live, to see the difference for themselves.
Students learn why static hosts like GitHub Pages can serve files but cannot run an always-on backend, and what "a server" actually means in practice.

3) Backend Development & Data

a) The Terminal & Package Management

Students learn to use the terminal/command line to navigate folders, run scripts, and install packages, building comfort with a tool most AI-assisted workflows rely on behind the scenes.
Students use a package manager (npm) to install and manage the libraries their backend project depends on, and learn what a package actually is and why projects need them.

b) Databases & Storing Real Data

Students connect a project to a real database and learn to read, write, and update data that persists and is shared across every visitor, not just stored in one browser.
Students learn the difference between data a user can see and data a user should never be able to directly touch.

c) Building & Running a Backend Server

Students build a simple backend server (using Node and Express) that sits between their website and their database, and learn why this "middleman" matters and how a backend can enforce rules that frontend code alone cannot guarantee.
Students run their server on their own machine and access it over their local network from another device, then use a tunneling tool (like ngrok) to briefly share that local server with someone outside the network, learning the difference between local, tunneled, and permanently hosted access.

d) Security, Live Deployment & Domain Configuration

Students see, through a live demonstration, why code and data sitting in the browser can never be fully trusted, and practice a real exploit and its fix on a class example — including the basic idea of environment variables and keeping API keys out of frontend code and out of what gets pushed to GitHub.
Students deploy their backend server to a live host (like Render), separate from where their frontend is hosted, and learn how domain names and DNS work to connect a real domain to a deployed frontend and backend.
Students learn to tell the difference, when something breaks on a live site, between a frontend problem, a backend problem, and a domain/DNS problem.

4) User Testing & Iteration

a) Getting Real Feedback

Students share an in-progress project with classmates or friends outside the course and run a short, structured user test, watching someone else use their site without guiding them.
Students learn to separate feedback about the idea from feedback about the execution, and to prioritize what to fix first.

b) Iterating on Feedback

Students make a round of changes to their project based on what they learned from user testing, and document what changed and why.
Students practice using AI tools specifically to iterate — refining an existing feature rather than generating something from scratch.

c) Small, Complete, and Worth Visiting

Students build a second tiny project of their choosing, applying everything learned so far, with an emphasis on finishing something small and polished rather than starting something large and incomplete.
Students add basic analytics (Google Analytics) to a project and learn to read simple visitor data.

d) Security & Trust Basics

Students learn, through a live demonstration, why code running in the browser can never be fully trusted, and what that means for protecting data and features on a real website.
Students learn the basic idea of environment variables and keeping sensitive keys out of frontend code.

5) Final Project

a) Planning

Students pitch their own final project idea, explain what makes it worth visiting, and identify the one core interaction it depends on.
Students plan which tools (VS Code, an AI model, a deployment host) fit their specific idea best.

b) Building

Students build their final project across multiple work sessions, using Git to track their own progress the way they practiced on the shared class project.
Students receive checkpoints and feedback along the way rather than being graded only at the end.

c) Testing & Polishing

Students run a final round of user testing on their own project and make a last set of improvements based on what they learn.
Students prepare their project for deployment, double-checking responsiveness, broken links, and placeholder content.

d) Shipping & Presenting

Students deploy their final project live to a real, shareable URL.
Students present their project to the class, explaining their idea, the tools they used, and one thing they learned from user feedback.

Learning Outcomes

Build a website from an idea to a live, deployed project, using HTML, CSS, JavaScript, and AI tools together — knowing when to prompt, when to write code directly, and when to debug by hand.
Use Git and GitHub confidently, including branching and pull requests, and collaborate with others on a single shared codebase without overwriting each other's work.
Explain the difference between a static frontend and a running backend, build a simple backend server connected to a real database, and deploy both a frontend and a backend live.
Use the terminal to navigate, run scripts, and install packages, and understand the difference between running a server locally, sharing it briefly over a tunnel, and hosting it permanently online.
Understand what a server is, how domain names and DNS work, and connect a real domain to a deployed website — rather than relying only on a free hosting subdomain.
Move a project between different AI tools and platforms (VS Code, Google AI Studio, Lovable) and adapt code written in one environment to work in another.
Run a basic user test on their own project, interpret the feedback, and make meaningful improvements based on it.
With this foundation, they will be ready to explore more advanced concepts such as backend frameworks, databases, authentication, and larger collaborative software projects.

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Teachers

Projects

Scratch

Ali Ebrahim khan

3D MAZE

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Scratch

Maaz Uppal

Ping pong game

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Muhammad Ibraheem Ali

11 years old

Pirate adventure game

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Frequently Asked Questions

To enroll in any of our programming courses, your child must first attend a STEM Explorer Session. This helps us understand your child’s learning profile and ensures they are placed in a course that matches their skills and interests. After the session, we will share available time slots and course details and guide you through the next steps for enrollment.

Book a 30-minute STEM Explorer Session to find out the most suitable course for your child.

Learning to code helps build essential 21st-century skills such as critical thinking, problem-solving, and creativity. It fosters logical reasoning, boosts confidence in using technology, and prepares children for a future increasingly shaped by digital tools.

While we highly encourage punctuality and regular attendance, we understand that emergencies can happen. In such a case, parents must inform the instructor before the class and request a recording. In this way, the instructor can arrange a recording if informed in advance, as we do not usually record classes.

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