English | Size: 1.2 GB
Genre: eLearning
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
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 stay relevant as AI changes the industry
– Career changers entering QA for the first time
– Developers who want to understand structured testing
– Anyone who has tried AI tools for testing but has not had a repeatable workflow to follow
If you are a tester who wants to do in one hour what used to take a full day — this course is built for you.
A note on how this course was made:
Every script, test artefact, and resource in this course was produced using the same AI-assisted workflow you will learn here. This is not a course about AI tools built the traditional way — it was built with them. What you see on screen is what the workflow actually produces.
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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