Topic & Subtopics

• Using ChatGPT/Claude for Test Scenarios


• Test Case Optimization and Prioritization


• Boundary Value and Edge Case Generation

Demo Content

• Generate test cases from user stories using ChatGPT


• Create boundary value tests using AI prompts

Assignment

• Given a simple requirement (e.g., "User can search for products on an e-commerce website"), use an LLM to generate at least 15 test cases covering different scenarios.


• Create a custom GPT prompt template for your domain

• Generate Test Data in JSON, XML Format using ChatGPT


• Generating Test Data using GitHub copilot


• Create Python program to generate Test Data using ChatGPT

Topic & Subtopics

• Self-Healing Test Scripts


• Element Detection and Locators using MCP Server in GitHub copilot


• AI-Powered Test Maintenance


• Flaky Test Detection and Resolution


• Test Execution Optimization

Demo Content

• Implementing self-healing Selenium tests


• Smart locator strategies with AI


• Flaky test analysis and auto-fix demonstrations

Assignment

• Self-Healing Brainstorm: For a web application login form, imagine the 'Login' button's ID changes frequently. How could AI help your automation script adapt to this change? List at least two strategies.


• Implement AI-powered element detection in your framework


• Create a flaky test monitoring and alert system

Topic & Subtopics

• Self-Healing Test Scripts


• Element Detection and Locators using MCP Server in GitHub copilot


• AI-Powered Test Maintenance


• Flaky Test Detection and Resolution


• Test Execution Optimization

Demo Content

• Implementing self-healing Selenium tests


• Smart locator strategies with AI


• Flaky test analysis and auto-fix demonstrations

Assignment

• Self-Healing Brainstorm: For a web application login form, imagine the 'Login' button's ID changes frequently. How could AI help your automation script adapt to this change? List at least two strategies.


• Implement AI-powered element detection in your framework


• Create a flaky test monitoring and alert system

Topic & Subtopics

• Computer Vision in Testing


• Visual Regression Testing with AI


• Cross-browser Visual Validation


• Accessibility Testing with AI

Demo Content

• Image Comparison Live demonstration using a simple image comparison library (e.g., OpenCV in Python) to compare two screenshots of a web page and highlight visual differences.


• Visual Anomaly Detection: Show examples of how AI can detect subtle visual anomalies (e.g., misaligned elements, incorrect fonts) that human eyes might miss.


• Accessibility compliance checking using AI tools

Assignment

• Visual Regression Scenario: Describe a scenario where AI-powered visual testing would be more effective than traditional assertion-based automation tests.


• Capture two slightly different screenshots of a web page (e.g., one with a small text change, one with a button moved) and conceptually explain how an AI tool would identify the differences.

Topic & Subtopics

• Intelligent API Test Generation


• AI-Powered Response Validation


• Contract Testing with AI

Demo Content

• Generate API tests from OpenAPI specifications using AI


• AI for API Test Data Generation


• Intelligent response validation and schema evolution

Assignment

• API Test Case Brainstorm: Given a simple REST API endpoint (e.g., GET /products/{id}), use an LLM or your own reasoning to generate at least 10 test cases, including valid and invalid inputs, and expected outcomes.


• API Data Generation Scenario: For an API that accepts user registration data (name, email, password), describe how AI could help generate diverse and realistic test data, including edge cases (e.g., very long names, invalid emails).

Topic & Subtopics

• Intelligent Test Result Analysis


• Root Cause Analysis with AI

Demo Content

• AI-powered test result dashboards


• Risk assessment and test planning with AI

Assignment

• Implement predictive test failure detection


• Build risk-based test execution strategy using AI insights

Topic & Subtopics

• Bias in AI Models and its Impact on Testing


• Data Privacy and Security in AI Testing


• AI: Job Displacement vs. Job Augmentation for Testers


• The Future of AI in Software Quality Assurance

Demo Content

• Discussion on AI Bias: Facilitated discussion on examples of AI bias in real-world applications and how it could manifest in testing scenarios (e.g., biased test data leading to biased results).


• Future Vision: Present a short video or article discussing the future of AI in software development and testing.

Assignment

• Ethical AI in Testing: Write a short paragraph discussing one ethical concern related to using AI in software testing (e.g., data privacy, algorithmic bias) and suggest a way to mitigate it.


• Tester's Evolving Role: Reflect on how AI might change the day-to-day activities and required skills of a manual tester or test automation engineer in the next 3-5 years.

Topic & Subtopics

• Define test plan using AI


• Create test data and test cases


• Automate a flow using AI tools


• Generate summary and bugs

Demo Content

• Build end-to-end AI-powered test strategy for a sample app (web or API)


• Future Vision: Present a short video or article discussing the future of AI in software development and testing.

Assignment

• Submit a mini-project: use AI tools to test a sample e-commerce login/checkout flow