Saluja Group Training

QA + AI Training Curriculum

This comprehensive program blends traditional Quality Assurance practices with modern AI‑driven testing techniques. Each session builds practical skills through lectures, discussions, and hands‑on exercises.

• Day 1: Foundations of QA Testing
  • Introduction to QA, QC, and Testing
  • Types of testing: manual vs. automated
  • QA lifecycle: requirement analysis → test planning → execution → reporting
  • Hands‑on: Write simple test cases for a sample login page
• Day 2: Test Case Design & Execution
  • Test case writing techniques (positive/negative, boundary value analysis, equivalence partitioning)
  • Test data management and importance of realistic data
  • Execution and defect reporting
  • Hands‑on: Create a defect report for a simulated bug

• Day 3: Automation Basics
  • Why automation matters: benefits and limitations
  • Popular tools overview: Selenium, Playwright, Cypress
  • Automation frameworks: data‑driven, keyword‑driven, hybrid
  • Hands‑on: Automate a simple login test using Selenium
• Day 4: QA in Agile & DevOps
  • Role of QA in Scrum teams
  • Shift‑left testing and early defect detection
  • Continuous testing in CI/CD pipelines
  • Hands‑on: Add automated tests to a CI pipeline

• Day 5: Introduction to AI in QA
  • AI/ML basics for testers
  • Predictive defect analysis
  • Intelligent test case generation
  • Hands‑on: Explore AI‑powered QA tools (e.g., Testim, Applitools)
• Day 6: AI for Test Automation
  • Self‑healing test scripts
  • Visual testing with AI
  • Natural language test case generation
  • Hands‑on: Use an AI tool to generate test cases from requirements

• Day 7: Advanced AI QA Applications
  • Defect prediction models using historical data
  • AI in performance testing (load prediction, anomaly detection)
  • Hands‑on: Build a simple ML model to classify defects (Python/Scikit‑learn)
• Day 8: Capstone Project & Future Trends
  • Capstone: End‑to‑end QA cycle with AI integration
  • Student project presentations
  • Future of QA: AI copilots, autonomous testing
  • Wrap‑up: Certification of completion & career pathways