AI-Powered Testing Course

Master Cursor IDE, Amazon Q, GitHub Copilot, ChatGPT & Modern AI Testing Workflows

🤖 Advanced AI Testing | 6 Weeks

🎯 Course Overview

The most up-to-date AI testing course in India. Learn to use Cursor IDE, Amazon Q, GitHub Copilot, ChatGPT, Claude, and MCP Servers to write tests faster, debug smarter, and become an AI-powered QA engineer that companies are actively hiring for.

📚 Course Details

Duration: 6 Weeks

Level: Intermediate to Advanced

Format: Live Online

Batches: Weekday & Weekend

Certificate: Yes

Job Support: Included

📖 Weekly Curriculum

Week 1: AI in Testing — Foundations & Mindset

Concepts:

  • How AI is changing QA
  • AI vs Manual vs Automation
  • AI tools landscape for testers
  • Prompt engineering basics
  • Setting up AI tools

Hands-On:

  • ChatGPT for test case writing
  • Claude for bug analysis
  • First AI-generated test suite
  • Comparing AI tool outputs

Week 2: Cursor IDE — AI-Powered Test Development

Cursor IDE Mastery:

  • Cursor IDE setup & configuration
  • AI chat inside the editor
  • Inline code generation for tests
  • Multi-file AI context
  • Cursor Composer for frameworks

Practical Projects:

  • Write Playwright tests with Cursor
  • Generate Cypress specs via AI
  • Refactor test code using AI
  • Debug failing tests with Cursor

Week 3: Amazon Q & GitHub Copilot for QA

Amazon Q Developer:

  • Amazon Q setup in VS Code
  • AI test case generation
  • Code review & suggestions
  • Security scanning with Q
  • Unit test auto-generation

GitHub Copilot:

  • Copilot setup & shortcuts
  • Writing automation with Copilot
  • Copilot Chat for QA queries
  • Copilot vs Cursor comparison

Week 4: Prompt Engineering for QA Engineers

Prompt Techniques:

  • Writing effective QA prompts
  • Chain-of-thought prompting
  • Role-based prompts for testing
  • Prompt templates library
  • Few-shot prompting for tests

Use Cases:

  • Generate 100 test cases in minutes
  • AI-powered bug reports
  • Test data generation
  • API test script generation

Week 5: MCP Servers & AI Agents in Testing

MCP Servers:

  • What is Model Context Protocol
  • Setting up MCP for testing
  • Connecting AI to test tools
  • Browser automation via MCP
  • Playwright MCP integration

AI Agents:

  • Autonomous testing agents
  • Agent-driven test execution
  • Multi-agent QA workflows
  • Real-world agent setup

Week 6: Real Projects & Career Preparation

Capstone Project:

  • End-to-end AI testing project
  • Full framework with AI tools
  • CI/CD pipeline with AI tests
  • Portfolio-ready deliverables

Career Prep:

  • AI QA interview questions
  • Resume with AI skills
  • LinkedIn profile update
  • Mock interview sessions

🛠️ AI Tools You Will Master

Cursor IDE
AI-first code editor for test development
🤖
Amazon Q
AWS AI developer assistant for QA
🐙
GitHub Copilot
AI pair programmer for automation
💬
ChatGPT
Test case & strategy generation
🧠
Claude AI
Advanced reasoning for QA analysis
🔗
MCP Servers
AI context protocol for tool integration
🎭
Playwright
Modern automation with AI assistance
🌲
Cypress
AI-assisted web test automation
📮
Postman
API testing with AI test generation

🎁 What You Get

💼 Career Outcomes

🚀 Ready to Become an AI-Powered QA Engineer?

Join the next batch — seats are limited. Book your free demo class today.

Book Free Demo Class