GenAI & AI Agents for QA Automation | Copilot & Claude Code

This course is focused on using generative AI and agent-based systems to improve software testing and QA automation. It teaches how to integrate AI tools into testing workflows, generate test artifacts, and automate processes using modern AI-driven solutions.

Course Overview

• Rating: 4.6 / 5 (84,607 learners)
• Duration: 11 Hours
• Last Updated: April 2026
• Language: English
• Certificate: Yes
• Access: Full Lifetime Access
• Price: ₹589 (Discounted)

What You Will Learn

• Use generative AI models to improve QA productivity through effective prompt engineering
• Generate and optimize test code using tools like GitHub Copilot
• Understand Model Context Protocol (MCP) and how it powers AI agents
• Explore modern AI testing tools and their capabilities
• Perform codeless browser automation using AI agents
• Use Claude Code for terminal-based automation with Selenium examples
• Build automation workflows using n8n
• Work with offline LLMs for privacy-focused AI solutions
• Generate testing artifacts like test plans, test cases, test data, and bug reports automatically

AI Governance Professional (AIGP) Certification Masterclass

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Key Topics Covered

• AI in QA Automation
• Prompt Engineering for Testing
• AI Agents in Testing Workflows
• Test Automation with AI
• Workflow Automation
• Selenium with AI

Who This Course Is For

• QA engineers and testers
• Automation engineers
• Developers involved in testing workflows
• Anyone interested in AI-powered testing and automation

Final Assessment

This course provides a practical approach to integrating AI into QA processes. It is suitable for professionals looking to enhance testing efficiency using AI tools, automation workflows, and agent-based systems.