Generative AI-Powered QA Engineer

Course Overview

The Generative AI-Powered QA Engineer Program is a practical, hands-on training designed to help QA professionals adopt the next generation of software testing using Generative AI, AI Agents, and the Model Context Protocol (MCP). Participants will learn how to design, execute, automate, and manage software testing workflows using Claude Desktop, GitHub Copilot, Playwright, Selenium, Jira, Git, GitHub, and VS Code in real-world QA environments.

This lab-focused program combines AI-assisted manual testing, AI-driven web automation, defect management, version control, and automation framework development into a complete end-to-end QA lifecycle. Through guided exercises, mini-capstones, and a final integration project, learners gain practical experience in building modern AI-augmented testing solutions.

Key Learning Areas

• Generative AI for Software Testing
• AI Agents & Model Context Protocol (MCP)
• AI-Powered Test Planning & Test Design
• AI-Assisted Exploratory Testing
• AI-Powered Web Automation with Playwright/Selenium
• AI-Driven Defect Management & Jira Integration
• Git, GitHub & AI-Assisted Version Control
• GitHub Copilot Agent Mode for QA Automation
• CI/CD Integration with GitHub Actions
• Prompt Libraries & SKILL.md for QA Teams

Course Objectives

By the end of this program, participants will be able to:

• Build AI-Augmented QA Workflows
• Generate Test Plans, Scenarios & Test Cases Using AI
• Execute Automated Tests Through AI Agents
• Create and Manage AI-Assisted Defect Reports
• Develop Automation Frameworks with GitHub Copilot
• Integrate Testing into CI/CD Pipelines
• Apply AI Trust & Verification Practices
• Standardize AI-QA Processes Across Teams

Course Benefits

• Master Modern AI-Powered Testing Practices
• Increase QA Productivity with AI Tools
• Reduce Manual Effort in Test Design & Documentation
• Gain Hands-On Experience with Industry-Leading Tools
• Build Production-Ready Automation Frameworks
• Learn AI-Assisted Defect & Repository Management
• Create Reusable Prompt Libraries & QA Assets
• Prepare for Future AI-Driven QA Roles

Training Highlights

• 16-Hour Instructor-Led Training Program
• 100% Hands-On Practical Labs
• 8 Industry-Focused Learning Modules
• Real-World Banking Application Capstone Project
• Mini-Capstones After Every Module
• AI-Powered Testing & Automation Workflows
• Live Demonstrations & Guided Exercises
• Certificate of Completion Upon Successful Assessment

Who Should Attend

• Manual QA Engineers
• Automation Testing Engineers
• Software Test Analysts
• SDETs & QA Leads
• Test Managers
• QA Professionals Exploring AI Testing
• Engineers Looking to Upgrade Testing Skills
• Professionals Transitioning to AI-Augmented QA Roles