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AI-Powered QA Engineering Program

Batch Starts From
Live June 15, 2026

This industry-focused Software QA Engineering Program is designed to help aspiring and experienced QA professionals master Manual Testing, Automation Testing, DevOps Integration, API Testing, and AI-enabled testing practices.

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Detailed Program Overview & Curriculum
  • Course Structure Overview
  • •Phase 1 – The Foundation
  • QA vs QC, SDLC & STLC
  • Manual Testing Concepts
  • Black-box, White-box & Grey-box Testing
  • Defect Management & Bug Lifecycle
  • Testing Types & Levels
  • Hands-on Manual Testing Lab
  • •Phase 2 – Transition to Automation
  • Automation Strategy & ROI
  • Selenium, Playwright & Cypress
  • XPath, CSS Selectors & DOM
  • Assertions, Waits & Data-driven Testing
  • Page Object Model (POM)
  • Automation Scripting Lab
  • •Phase 3 – Advanced Automation & AI
  • CI/CD Pipelines & Shift-Left Testing
  • API Testing & Mobile Testing
  • Framework Design & Reporting
  • AI in Testing & Self-healing Scripts
  • Prompt Engineering for QA
  • GitHub Actions Integration
  • •Phase 4 – Career Readiness
  • Live Industry Case Studies
  • Capstone QA Project
  • Mock Interviews & Resume Building
  • Performance & Security Testing
  • Preparation for SDET Roles
  • •AI-Enabled Testing – The Future of QA
  • Use AI tools to generate test cases and optimize test coverage.
  • Understand self-healing automation scripts that automatically fix broken locators.
  • Leverage Generative AI tools like ChatGPT for bug analysis and documentation.
  • Improve testing productivity using AI-assisted debugging and reporting.
  • Learn modern AI-driven QA practices used in enterprise projects.
Key Course Highlights
  • What You Will Learn
  • • QA Fundamentals, SDLC & STLC
  • • Manual Testing, Defect Tracking & Test Documentation
  • • Automation Testing using Selenium, Playwright & Cypress
  • • Framework Design using Page Object Model (POM)
  • • API Testing using Postman & RestAssured
  • • Mobile Testing with Appium
  • • CI/CD & Shift-Left Testing Concepts
  • • AI & Generative AI in Software Testing
  • • Real-world Projects, Case Studies & Capstone Execution
  • How This Course Helps in Upskilling QA Knowledge
  • • Builds strong fundamentals in Software Testing & Quality Assurance.
  • • Helps transition from Manual Testing to Automation Testing.
  • • Provides hands-on exposure to modern testing tools and frameworks.
  • • Improves analytical thinking and defect identification skills.
  • • Enhances employability for QA Engineer and SDET roles.
  • • Prepares learners for enterprise-level testing projects.
  • • Strengthens knowledge in Agile, DevOps and CI/CD workflows.
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