What you'll learn:
- Use GitHub Copilot as an AI pair-programmer to write maintainable Selenium test code efficiently.
- Use Amazon Q and Claude Desktop to automate code writing, debugging, test refactoring, and environment troubleshooting.
- Understand and implement MCP (Model Context Protocol) for connecting Claude to GitHub and developer tools to build AI-augmented QA workflows.
- Automate real-world UI test scenarios including forms, dropdowns, alerts, frames, tables, dynamic loading, and complex interactions.
- Basic and Advanced Web Component Automation: Covers automation of both basic and advanced web components using Selenium.
- API Testing: Efficiently automate API testing using GitHub Copilot, ensuring reliable and robust backend services.
- Performance Testing: Use Selenium to perform automated performance testing, including load and stress tests to evaluate application responsiveness.
- Accessibility Testing: Implement automated tests to ensure web applications meet accessibility standards.
- Cross-Browser Testing: Automate tests across multiple browsers to ensure consistent functionality and performance.
- Apply Data-Driven Testing using JSON, CSV, and AI-generated test data.
- Debug, validate, and optimize tests using AI-driven suggestions and smart analysis techniques.
- Perform File Upload/Download, screenshot validation, and advanced browser workflows.
- Optionally create & enhance Java Spring Boot applications with AI support for real backend testing.
- Perform Database Testing (SQL, PL/SQL) with Copilot-assisted schema design, queries, and data loading.
Learn AI-powered QA Automation using Selenium WebDriver, GitHub Copilot, Generative AI, Claude, Amazon Q, and AI Agents. Build real-world test scripts, data-driven testing, API testing, performance checks, and CI-ready workflows. Upgrade your QA / SDET skills with AI-assisted coding and the new MCP automation ecosystem.
This comprehensive program integrates cutting-edge Generative AI, and Vibe Coding throughout every lesson. You'll master revolutionary AI-assisted development techniques used by top tech companies.
Course Curriculum
Section 1: Introduction & GitHub Copilot Fundamentals
Course agenda and learning roadmap
Introduction to modern AI-powered testing
Exploring key features of GitHub Copilot for QA professionals
Setting up your AI-assisted testing environment
Section 2: Environment Setup & IDE Configuration
Signing up for GitHub Copilot (AI pair programming setup)
Setup inside Visual Studio Code with Copilot integration
Optional IntelliJ setup for advanced users
Configuring your AI-powered development workspace
Section 3: Application Setup & Form Handling
Build a new application for "The Internet Herokuapp" testing
Login form validations with AI assistance
Form automation using GitHub Copilot suggestions
Real-world web application testing scenarios
Section 4: Basic Selenium Interactions (AI-Enhanced)
Dropdown handling with intelligent element selection
Checkbox automation using AI-generated test patterns
Mouse hover actions and advanced user interactions
Alerts and popups management with Copilot assistance
Frames and windows handling techniques
Data tables automation and validation
Section 5: Data-Driven Testing with GenAI
Data-driven testing fundamentals with AI optimization
JSON data handling for API and web testing
CSV data integration for comprehensive test scenarios
AI-powered test data generation and management
Section 6: Validation & Debugging
Screenshot automation and visual validation
Console logs analysis with AI-assisted debugging
Smart error detection and resolution techniques
AI-powered test maintenance and optimization
Section 7: Advanced Selenium Interactions
Drag and drop automation with precise control
Scroll bar interactions and page navigation
Dynamic loading and Ajax element handling
Complex user interaction scenarios
Section 8: File Operations
File upload automation with various file types
File download validation and verification
Document handling in automated testing workflows
Section 9: Performance Testing Integration
Performance testing using Artillery framework
Load testing integration with Selenium automation
Performance validation and reporting
Section 10: API Testing Mastery
API testing using Axios Client for comprehensive backend validation
RESTful API automation and testing strategies
Integration between UI and API testing
Section 11: GitHub Copilot - Spring Boot Java Application (Optional)
Quick start scaffolding a Java application using Copilot
Sorting, filtering, and pagination with AI assistance
Excel export functionality using Copilot suggestions
Unit testing with AI-generated test cases
Swagger API documentation with GitHub Copilot
Code simplification techniques using AI assistance
Section 12: Database Testing with GitHub Copilot (Optional)
SQLTools setup in Visual Studio for database management
Oracle Client/Driver installation and configuration
Database connection establishment with AI guidance
Creating products table with intelligent schema design
Syntax error resolution using AI-powered debugging
Test data generation with Mockaroo integration
CSV data loading via SQL*Loader automation
Function creation and terminal error resolution
Section 13: Amazon Q Integration
Amazon Q installation on Visual Studio (Free Tier)
Building chat applications using Amazon Q AI features
AWS Services integration for enhanced testing capabilities
Troubleshooting with AWS Resources using Amazon Q assistance
Section 14: Evolution of MCP
Need for MCP - Current Solutions and their Limitations
Client Server Architecture
Section 15: All About MCP
MCP Architecture
MCP Server Components
MCP Transport Types
MCP Flow - Server, Client and Host communication over Transport layer
Section 16: Hands On MCP - STDIO Transport with Cursor IDE
Install Dependencies with UV package
Walkthrough Weather API
Invoke Weather API
Getting MCP Server Ready
MCP Host, Client and Server
MCP Inspector
Section 17: Claude with Github using MCP and Github Access Tokens
Integrate Claud Desktop with Github
Section 18: MCP with Github Docker
GitHub Copilot Context optimization for better code suggestions
Github MCP Server on local Docker and Claude Desktop
MCP with Github, Docker and Claude
Section 19: Advanced AI Techniques
GitHub Copilot Context optimization for better code suggestions
Prompt Engineering for QA-specific AI interactions
Best practices for AI-assisted test automation
Perfect For
Manual QA Testers - Transition to AI-powered automation
Selenium Beginners - Start with modern AI-assisted approach
Intermediate QA Engineers - Enhance productivity with GenAI tools
Software Developers - Add AI-powered testing to your skillset
QA Team Leads - Implement cutting-edge automation strategies
Career Changers - Enter the high-demand AI-powered QA field
