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AI-Powered Software Testing Masterclass

Course Overview

Testing in 2026 is no longer just about writing scripts manually. AI is reshaping how test cases are generated, how bugs are found, and how quality is maintained at scale. This masterclass teaches you to leverage AI tools like GitHub Copilot, LLM-assisted test generation, and intelligent test analysis — while keeping human judgment at the core of quality assurance.

Key Points

Use AI tools to generate high-quality test cases

Leverage GitHub Copilot for test script writing

Apply LLMs for requirement analysis and test planning

Build AI-assisted API and UI test suites

Detect and analyze test failures with AI insights

Reduce test maintenance with self-healing selectors

Integrate AI testing tools into CI/CD pipelines

Build a complete AI-augmented testing portfolio

Course Outline

Module 1: AI in Testing Landscape 2026

  • How AI is changing software testing roles
  • AI testing tools overview and comparison
  • Prompt engineering for QA professionals
  • Setting up AI-augmented testing environment

Module 2: AI-Assisted Test Case Design

  • Using LLMs to analyze requirements and generate test scenarios
  • Boundary value and equivalence partitioning with AI
  • Risk-based test prioritization using AI analysis
  • Validating AI-generated test cases for completeness

Module 3: Automated Test Script Generation

  • GitHub Copilot and AI pair programming for tests
  • Generating Selenium and Playwright scripts with AI
  • AI-powered API test generation with Postman and REST
  • Code review and quality checks on AI-generated code

Module 4: Self-Healing and Intelligent Test Execution

  • Self-healing selectors and dynamic locator strategies
  • Visual AI testing and screenshot comparison
  • AI-driven test impact analysis
  • Flaky test detection and root cause analysis

Module 5: AI in CI/CD and Reporting

  • Integrating AI testing tools in Jenkins and GitHub Actions
  • AI-powered defect classification and reporting
  • Test coverage insights with AI analytics
  • Shift-left testing with AI assistance

Module 6: Capstone — AI Testing Project

  • Full AI-augmented test suite for a real application
  • Performance and security testing with AI tools
  • Portfolio documentation and presentation
  • Future of AI in QA and career roadmap
Ahsan Akhtar
Senior Test Automation Engineer & AI Trainer

This Course Includes

Duration 6-8 weeks (Weekend Classes Only)

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