Description

Are you a QA engineer, automation tester, or manual tester ready to future-proof your career? This course is the most practical, hands-on guide to AI testing available — built specifically for the software testing profession.Whether you’re exploring AI-powered testing for the first time or looking to level up with tools like GitHub Copilot and Claude Code, this course takes you from zero to confident in GenAI for QA.What you will learnUse GitHub Copilot for test automation — generate test cases, review code, and build a full Playwright project with AI assistanceUse Claude Code for QA automation — create test plans, write AI-powered tests, and configure your workflow with CLAUDE mdMaster Playwright MCP — the most powerful combination of Agentic AI and test automation available todayLearn Prompt Engineering for QA — principles, patterns, and mistakes that define expert promptingConnect AI agents to real tools with MCP servers: Chrome DevTools, AWS documentation, and databasesRun local LLMs privately with Ollama inside GitHub Copilot and Claude CodeWho this is forQA engineers and automation testers who want to work smarter with AIManual testers moving into AI-assisted or automated testingTest leads evaluating GenAI tools for their teamsAnyone exploring Generative AI for software testing in a practical, tool-first wayNo prior AI experience needed.Tools coveredGitHub Copilot, Claude Code, Playwright, Playwright MCP, Chrome DevTools MCP, AWS Documentation MCP, Ollama, and core Prompt Engineering techniques.Most AI testing courses are too theoretical or focused on a single tool. This course covers the full landscape of GenAI for QA — from prompt engineering fundamentals to Agentic AI and MCP servers — with real hands-on projects throughout.Enrol now and start using GitHub Copilot, Claude Code, and Playwright MCP to transform how you test software.