Foundations of AI-Assisted Web Development

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

3 hours
Sessions

Self-Paced
Level

Beginner
Subtitles

English

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Overview

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This course introduces beginner learners to the fundamental concepts, tools, and workflows required to build functional web applications using AI coding assistants like Cursor, GitHub Copilot, and Claude Code. You will develop a mental model of how modern web applications are structured — including frontend, backend, database, and API layers — and learn to translate that understanding into precise, context-rich prompts that generate clean, working code. Through hands-on exercises, you will set up a beginner-friendly development environment, navigate core developer tools (code editors, terminals, Git), and ship your first AI-built application to the internet. By the end of this course, you will have built and deployed a simple web application, mastered the basics of prompt engineering for code generation, and gained confidence collaborating with AI assistants to bring your ideas to life. This course is designed for non-technical professionals, career switchers, and early-stage entrepreneurs with little to no prior programming experience, and provides the essential foundation for success in the rest of the specialization.

Syllabus

Understanding the Anatomy of Web Applications

Every web application you have used — a project tracker, a booking site, a content feed — is built from four interlocking layers: a frontend that users see, a backend that processes logic, a database that stores data, and APIs that connect them. This module gives you a working map of those layers so you can direct AI coding assistants with precision rather than guesswork. You will examine real applications to see how each layer operates, learn to spot the difference between client-side and server-side behavior, and practice translating product ideas into structured, layer-aware descriptions. By the end of this module, you will be able to break down any web application concept into its core architectural components and give AI tools the specific, buildable instructions they need.

Crafting Effective AI Prompts for Code Generation

Getting code from an AI assistant is easy. Getting code that works, fits your project, and handles edge cases correctly is a different skill entirely — and it starts with how you write the prompt. This module teaches you to construct precise, context-rich prompts that specify tech stack, desired behavior, output format, and constraints, so that AI tools produce reliable code rather than plausible-looking fragments. You will practice iterative refinement techniques, learn how to structure multi-step prompts across extended sessions, and diagnose the most common failure modes in AI-generated code. By the end of this module, you will be able to write prompts that consistently produce working, well-structured code and systematically improve results when the output falls short.

Setting Up and Navigating Developer Tools

This module simplifies the core developer tools needed to build, manage, and version-control web applications, focusing on beginner-friendly setups and AI-assisted workflows. You will learn to set up a local development environment, use code editors like VS Code and Cursor, run basic terminal commands, and manage project files with Git. Through guided tutorials and hands-on practice, you will gain confidence using the terminal, understand package managers such as npm and pip, and explore how AI assistants integrate into modern IDEs. The module also covers essential Git workflows, including repositories, commits, branching, and GitHub collaboration, to keep projects organized, versioned, and shareable.

Building Your First AI-Assisted Web Application

This module guides you through building a simple, functional web application using AI coding assistants, from concept to working prototype. Applying skills from previous modules, you will create beginner-friendly projects such as a portfolio site, to-do app, or landing page. Through step-by-step tutorials, you will scaffold project files, generate HTML, CSS, and JavaScript with AI, add basic interactivity, and organize your codebase for maintainability. The module emphasizes iterative development, encouraging you to build an MVP, test frequently, and refine using AI feedback and user testing. By the end, you will have completed a working AI-assisted web application and strengthened your vibe coding workflow skills.

Deploying Your Application to the Internet

This module teaches you how to deploy a locally built web application to a live URL, making it accessible online. You will explore beginner-friendly platforms such as Vercel, Netlify, and Railway, and learn to connect GitHub repositories, configure environment variables, and automate deployments through CI/CD workflows. Through guided tutorials, you will deploy static frontend applications, understand static versus full-stack hosting, and troubleshoot common deployment issues. The module also covers domain setup, custom URLs, and basic performance optimization to improve reliability and speed. By the end, you will confidently deploy web applications, manage production settings, and independently ship future projects online.

From Idea to Code: Your Vibe Coding Capstone Lab

This capstone lab gives you the opportunity to apply everything you have learned across Course 1 in one integrated, hands-on exercise. Working through a realistic client scenario, you will write and refine an AI prompt, read and debug AI-generated Python code, decompose a feature request into buildable components, and identify what needs to happen before an app reaches real users. No prior programming experience is required. By the end, you will have practiced the complete vibe-coding workflow — from idea to working code.