• views: 198
• date: 18 April 2026
• posted by: 0nelove

The AI-powered testing workflow that turns a full sprint cycle into a single morning.
What you'll learn
✓ Use Claude, ChatGPT, and Gemini to generate test cases and bug reports from rough notes in minutes
✓ Build sprint test plans with Gemini in Google Docs and Windsurf reading your repo files directly
✓ Connect Claude Desktop to Jira via MCP to create test cases and bug tickets automatically — no copy-paste
✓ Run autonomous exploratory testing sessions with Antigravity and review its findings with professional judgment
✓ Use Cursor and GitHub Copilot to write code-referenced bug reports and trigger automatic fix pull requests
✓ Complete the full QA cycle on two real broken apps — TechShop guided and BookNow as an independent capstone
Requirements
● No coding experience required — this is 100% manual testing, no scripts or programming
● A laptop or desktop with Chrome browser (Mac, Windows, or Linux all work)
● Free accounts at Claude and ChatGPT— the free tiers cover everything in this course
● A basic idea of what software is — no prior testing experience needed
Description
Manual testing is not going away. But the way you do it has changed completely.
In this course you will learn vibe testing — the practice of combining your human judgment as a tester with AI tools that handle the writing, formatting, structuring, and filing so you can focus on what only a human can do: deciding what matters, spotting what feels wrong, and making the call on whether software is ready to ship.
By the end of this course you will have completed a full testing cycle on a real application using nine AI tools — and you will walk away with a portfolio of deliverables you can show a hiring manager.
What you will produce
- A feature inventory built from source code using Claude
- A sprint test plan in Google Docs (Gemini) and in your repo (Windsurf)
- 40+ test cases logged directly into Jira via MCP
- An exploratory testing session run by Antigravity
- Professional bug reports generated with ChatGPT and Cursor, with code references
- Verification of all 18 bug fixes against original reports
- A complete test summary report with a go/no-go recommendation
- A capstone project on a new application you have never seen
Tools you will use
- Claude web and Claude Desktop + MCP
- ChatGPT and Gemini
- GitHub Copilot, Cursor, and Windsurf
- Antigravity
- Jira
Every tool has a free tier. You do not need to spend anything beyond the course.
What makes this course different
Most AI testing content shows you prompts. This course shows you a complete professional workflow — from test plan to test report — using tools hiring managers already recognise. You will not just see the prompts; you will see the output, the review process, and how to catch what the AI gets wrong.
Who this course is for
■ Manual testers who want to add AI tools to their workflow and stay competitive in 2026
■ Career changers entering QA who want a practical, modern foundation with real tools and real Jira deliverables
■ Developers who test their own work and want to move faster with AI as a co-pilot



   
   
   

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