Build a Full Chrome Extension using AI from Zero to Advanced

This course teaches you how to build a real working Chrome extension step by step using AI.

Ramanpal Singhby Ramanpal Singh
4 modules
16 lessons
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Build a Full Chrome Extension using AI from Zero to Advanced

What You'll Learn

How to brainstorm extension ideas using AI, and prioritize ideas based on what competitors are missing.
How to research competitors in Chrome Web Store and extract feature gaps that matter.
How to define a clear feature blueprint for a multi-tool “developer toolkit” extension (cookies, forms, CSS/media, and more).
How to create a context.md style “knowledge base” so your AI assistant understands Chrome extension best practices and produces better code.
How to write prompts that force completeness (don’t stop early) while also preventing regressions across modules.
Build preset-based autofill for common outreach and contact forms, so you can fill forms faster and consistently.
Add AI-assisted autofill that uses your preset data and can write in your tone.
Implement developer-centric utilities like check/uncheck all, clear fields, capture form data, and restore previous inputs.
Add AI features like schema validation suggestions, AI test-case generator, and conversion optimization ideas.
Build a cookie analysis panel that supports permissions, filtering, and interpreting first-party vs third-party behavior.
Identify “not secure” cookies and expiry-risk cookies quickly, using practical filters and metrics
Classify cookies for privacy and compliance reporting, including snapshot style workflows and export/import ideas.
Learn how to inspect your extension UI properly to find console errors, network logs, and performance issues.
Build a JavaScript tools section that covers diagnostics, error aggregation, network/API monitoring, performance recording, memory helpers, and security scanning.
Detect frameworks used on a page and generate test snippets for tools like Cypress or Playwright.
Integrate PageSpeed Insights into your extension by enabling the API and generating an API key inside Google Cloud.
Validate schema detection and understand multi-schema pages (Article, Breadcrumb, FAQ patterns). Day4
Prepare a Web Store ready release, including the basic registration cost and publishing readiness.

Course Content

4 modules • 16 lessons
1.1What We Are Building (Course Intro)

In this course, we are building a real Chrome Extension called “Web Developer Toolkit”, a multi-tool dashboard that helps developers and marketers do faster audits and everyday tasks directly inside the browser. Think of it like a Swiss Army knife for web work, with modules like Forms, Cookies, JavaScript tools, schema checks, and PageSpeed insights, all inside one clean extension UI. You will learn the exact workflow to go from idea to a shippable product, using AI to speed up research, planning, coding, testing, and iteration. By the end, you will have a structured extension that can be published to the Chrome Web Store. Chrome exytension - https://chromewebstore.google.com/detail/developers-toolkit/lgedgiidilkaldajhhlmlnnodgbmhbam?hl=en-GB&authuser=3

Free
1.2Brainstorming Features and Ideas

In this lesson, we will brainstorm extension ideas and turn them into a clear feature list you can actually build. Instead of guessing, you will use a simple workflow to explore what people already use, what they complain about, and what is missing in existing Chrome extensions. Then we will translate those insights into modules for our Web Developer Toolkit, so your product feels useful from day one. You will also learn how to think in MVP terms, what to build first, what to keep for v2, and how to structure features by category (Forms, Cookies, CSS, Media, JavaScript tools, AI tools, PageSpeed, Schema) so the extension dashboard stays organized and scalable. Outcome: A validated idea, a categorized feature blueprint, and an MVP vs v2 roadmap for the extension.

Free
1.3Resources and Prompts pack
Premium

Requirements

  • Basic Understanding of html, css, js

Frequently Asked Questions

What is this course about?
You will build a real Chrome extension, a Web Developer Toolkit, step by step using AI. It includes multiple modules like Forms tools, Cookies audit, CSS tools, Media tools, JavaScript tools, AI utilities, and PageSpeed Insights integration, then you publish it to the Chrome Web Store.
Who is this course for?
Web developers, frontend devs, and freelancers SEOs, marketers, and growth folks who want a real “tool” product Anyone who wants to learn how to build and ship Chrome extensions faster with AI
Do I need to be a coder?
Basic coding knowledge helps a lot, especially HTML, CSS, and JavaScript. If you are a beginner, you can still follow along, but expect to pause and learn small things on the way.
What are the prerequisites?
Basic web concepts (DOM, CSS basics) Comfortable using Chrome DevTools (or willingness to learn) A laptop/desktop (Windows or Mac) A code editor (VS Code recommended)
Do I need a paid AI tool?
Not strictly, but a paid plan makes it faster and smoother. You can use ChatGPT or any AI coding assistant, but the course shows a workflow that works best when your AI can handle longer context.
What software or tools will I need?
Google Chrome Windsurf, Cursor A simple local project folder Optional: GitHub for version control (recommended, not required)
Will you provide templates and resources?
Yes. You will get downloadable resources like: Course roadmap and build plan Idea validation and competitor research workbook Feature blueprint scope doc context.md, build.md, progress tracker templates AI prompt pack (hack pack) Chrome Web Store launch checklist

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16 lessons
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Downloadable resources

This Course Includes

Video lessons
Interactive quizzes
Text lessons
Downloadable resources

Instructor

Ramanpal Singh

Ramanpal Singh

Ramanpal Singh Is the founder of Promptslove, kwebby and copyrocket ai. He has 10+ years of experience in web development and web marketing specialized in SEO. He has his own youtube channel and active on social media platform.