GenAI For Tester
  • Introduction
  • Session 1: Introduction to Generative AI in Testing
    • 1. Overview of Generative AI
    • 2. Popular AI Models and Their Usage
    • 3. Setting Up AI Tools for Testing
    • 4. Prompt Engineering for Software Testing
      • Prompt Managerment
  • Session 2: AI-Assisted Test Case Generation
    • Exam #1: eCommerce Domain - Checkout Flow
    • Exam #2: Mobile App - User Login and Authentication
    • Exam #3: API Testing - User Registration Endpoint
  • Session 3: Advanced AI in Test Automation
    • Chrome AI Asistant
    • Setup Github Copilot in VS Code
    • Playwright MCP Server
    • SQLite MCP to interact with your DB
    • Browser-use Browser AI Agent
    • Postman PostBot AI for API Testing
    • Self Healing Elements with AgentQL and Playwright
  • n8n flexible AI workflow automation for technical teams
    • Setup n8n with docker
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  1. Session 1: Introduction to Generative AI in Testing

1. Overview of Generative AI

PreviousIntroductionNext2. Popular AI Models and Their Usage

Last updated 1 month ago

🔹 What is Generative AI?

  • Definition and principles of Generative AI

  • How it differs from traditional AI and rule-based systems

  • The evolution of AI in software testing

🔹 How Generative AI Works

  • The role of Large Language Models (LLMs)

  • Understanding the tokenization process

  • Concept of context windows and their limitations

  • The problem of hallucinations in AI-generated outputs

🔹 Impact of AI on Software Testing

  • AI for Test Case Generation

  • AI for Test Data Creation

  • AI for Test Automation and Execution

  • AI for Exploratory Testing and Debugging

  • AI-powered Testing Assistants

https://www.cmu.edu/intelligentbusiness/expertise/genai-principles.pdf
https://www.geeksforgeeks.org/difference-between-generative-ai-and-traditional-ai/
https://dzone.com/articles/the-impact-of-ai-on-software-testing