Vibe Coding 100: GitHub Copilot for Developers

Course Overview

Duration: 6-8 hours
Format: Hands-on, project-based learning
Outcome: Deploy two production-ready AI-assisted web applications

Course Description

Master AI-assisted development and ship your first applications in hours, not weeks.

This hands-on course provides a comprehensive introduction to "vibe coding"—the practice of rapidly building functional applications by collaborating with AI assistants. Tailored for developers with basic computer skills (no prior coding experience required), you'll learn how to set up GitHub Copilot, leverage AI for code generation, build responsive web applications, and deploy them to production using modern development tools and workflows.

Course Modules

Module 1: Introduction to Vibe Coding and GitHub Copilot

-       Understanding the vibe coding philosophy: intention over syntax

-       Overview of GitHub Copilot capabilities and limitations

-       Setting up your development environment (VS Code, GitHub, Vercel)

-       Installing and configuring GitHub Copilot extensions

-       Authentication and subscription setup

-       First code generation experience and verification

Module 2: GitHub Copilot Fundamentals

-       Core Copilot features: inline suggestions vs. Copilot Chat

-       Essential keyboard shortcuts and commands

-       Understanding context awareness and code completion

-       Effective prompting strategies with comments and function signatures

-       Managing suggestions: accepting, rejecting, and cycling through options

-       Best practices for AI-assisted development workflow

Module 3: Building Your First Project - Personal Portfolio

-       Project planning and structure setup with Copilot assistance

-       HTML generation using descriptive comments and Copilot suggestions

-       CSS styling with AI-generated responsive designs and animations

-       JavaScript interactivity: smooth scrolling, form validation, and dynamic effects

-       Using Copilot Chat for complex feature implementation

-       Testing and debugging with AI assistance

Module 4: Version Control and Deployment Workflows

-       Git fundamentals for AI-generated code projects

-       Creating GitHub repositories and managing collaborative development

-       Continuous integration principles with GitHub Actions

-       Deploying to Vercel: setup, configuration, and automated deployments

-       Domain management and production optimization

-       Portfolio project deployment and live testing

Module 5: Advanced Interactive Applications

-       Choosing the right project: Task Manager, Expense Tracker, or Weather Dashboard

-       Advanced JavaScript patterns with Copilot assistance

-       API integration and data persistence strategies

-       Local storage implementation and Progressive Web App features

-       Chart.js integration for data visualization

-       Complex state management with AI-generated solutions

Module 6: Advanced Copilot Techniques and Optimization

-       Test-driven development with AI code generation

-       Code review and refactoring using Copilot Chat

-       Performance optimization strategies and best practices

-       Accessibility implementation with AI assistance

-       Documentation generation and maintenance

-       Debugging complex issues with Copilot's help

Module 7: Production Deployment and Portfolio Integration

-       Multi-project deployment strategies across different platforms

-       Custom domain configuration and SSL setup

-       Performance monitoring and optimization techniques

-       SEO optimization for AI-generated applications

-       Creating compelling project documentation with Copilot

-       Professional portfolio presentation and showcase techniques

Module 8: Scaling Your AI-Assisted Development Practice

-       Framework integration: React, Vue, and Angular with Copilot

-       Backend development possibilities with Node.js and Python

-       Mobile development with React Native and AI assistance

-       Open source contribution strategies using Copilot

-       Building development teams around AI-assisted workflows

-       Career advancement with AI development skills

Module 9: Real-World Applications and Future Directions

-       Industry case studies of AI-assisted development success stories

-       Enterprise integration patterns and team collaboration

-       Emerging AI development tools and ecosystem evolution

-       Ethical considerations and responsible AI development practices

-       Building sustainable development practices with AI tools

-       Open discussion and Q&A session

Hands-On Labs

This course includes practical, project-based laboratory exercises to reinforce your learning:

Lab 1: Environment Setup and First Code Generation

-       Complete development environment configuration

-       GitHub Copilot installation and authentication

-       First successful code generation and testing experience

Lab 2: Portfolio Website Development

-       Build a complete responsive portfolio site from scratch

-       Implement modern design patterns with CSS Grid and Flexbox

-       Add interactive JavaScript features with smooth animations

-       Deploy to production with custom domain

Lab 3: Interactive Web Application

-       Choose and develop a complex JavaScript application

-       Implement data persistence and API integration

-       Add advanced UI/UX features with AI assistance

-       Performance optimization and accessibility improvements

Lab 4: Advanced Feature Integration

-       Add Progressive Web App capabilities

-       Implement real-time data synchronization

-       Create exportable data functionality

-       Build responsive dashboard interfaces

Lab 5: Production Deployment and Optimization

-       Deploy multiple projects to production platforms

-       Configure custom domains and SSL certificates

-       Implement monitoring and analytics

-       Optimize for performance and SEO

Prerequisites

-       Basic computer literacy and web browsing skills

-       GitHub account (free)

-       Willingness to learn and experiment with new tools

-       No prior programming experience required

What You'll Build

By the end of this course, you will have created and deployed:

1. Personal Portfolio Website - A responsive, professional portfolio showcasing your projects
2. Interactive Web Application - A complex JavaScript application with data persistence and API integration
3. GitHub Repository Portfolio - Professional documentation and version control setup
4. Production Deployment Experience - Live applications accessible via custom domains

Tools and Technologies Covered

-       GitHub Copilot (inline suggestions and chat)

-       Visual Studio Code (primary IDE)

-       HTML5, CSS3, JavaScript (core technologies)

-       Git and GitHub (version control)

-       Vercel/Netlify (deployment platforms)

-       Chart.js (data visualization)

-       Progressive Web Apps (modern web capabilities)