AI-Powered Automation Testing for Working QA Professionals

AI-Powered Automation Testing for Working QA Professionals is a hands-on, industry-focused program designed to help experienced QA and automation engineers upgrade their testing skills with AI — without diving into heavy theory or complex ML math. This course shows you how to use AI as a powerful assistant in your day-to-day QA work: generating test cases, writing and maintaining automation scripts, handling flaky tests, analyzing logs, and creating smarter test reports. You’ll learn how to combine AI tools with Selenium, Playwright, and modern automation frameworks to work faster, reduce maintenance effort, and deliver higher-quality software. Built specifically for working professionals, the course focuses on real project scenarios, live demos, and practical workflows that you can start applying to your current job from the very first week. By the end of the program, you won’t just understand AI in testing — you’ll know how to use it confidently and responsibly in real-world automation projects.

AI-Powered Automation Testing for Working QA Professionals

Duration: 6 Weeks  |  Mode: Live + Hands-on  |  Target Audience: Working QA / Automation Engineers

Week 1: AI Foundations for Testers

• Understanding AI, GenAI, and LLMs from a QA perspective
• Why traditional automation is failing at scale
• Where AI fits in the QA lifecycle
• AI limitations, hallucinations, and validation mindset
• Hands-on: Using AI to generate test cases from requirements

Week 2: AI for Test Case Design & Test Data Generation

• AI-driven test case generation techniques
• Edge case and boundary condition discovery
• Test coverage analysis using AI
• Synthetic test data generation
• Hands-on: Create AI-generated test suites and test data (CSV / JSON)

Week 3: AI-Powered Automation Script Generation

• Manual test cases to automation using AI
• AI-assisted Selenium and Playwright scripting
• Writing assertions with AI support
• Refactoring existing automation code
• Hands-on: Build AI-generated automation scripts

Week 4: Self-Healing Tests & Smart Locators

• Why automation scripts break
• AI-based locator strategies
• Self-healing automation concepts
• Flaky test detection using AI
• Hands-on: Stabilize broken scripts using AI

Week 5: AI for Debugging, Logs & Test Reporting

• AI-assisted debugging workflows
• Log analysis using NLP concepts
• Root cause analysis with AI
• AI-generated test execution summaries
• Hands-on: Create AI-driven RCA and test reports

Week 6: Capstone Project & Career Positioning

• End-to-end AI-augmented automation framework
• Applying AI across test design, execution, and reporting
• Resume and LinkedIn positioning for AI-QA roles
• Interview preparation for AI in testing
• Capstone: Project presentation and feedback

Tools Covered

ChatGPT, GitHub Copilot, Selenium, Playwright, OpenAI API (Basics), AI Testing Tools
(Conceptual & Demo)

Outcome

Participants will become AI-augmented QA professionals capable of using AI to design smarter test cases, build resilient automation, debug efficiently, and optimize testing workflows in real-world projects.

Who Should Enroll

• Working QA Engineers looking to upgrade their testing skills with AI
• Automation Testers using Selenium, Playwright, or similar frameworks
• Manual Testers planning to transition into automation with AI assistance
• QA professionals struggling with flaky tests and high maintenance automation
• Test engineers who want to write tests faster and with better coverage
• QA leads and senior testers who want to future-proof their careers
• Professionals interested in applying AI directly to real-world testing projects