Hiring managers for AI testing roles look for evidence that you have evaluated something, not a list of tools. A strong bullet has three parts:
A number: how many cases, which defects, what rate.
A scope: what you tested, on what kind of product.
A link to the artefact in your portfolio repository, so the claim can be checked.
Leave out what cannot be checked: "familiar with", "exposure to", "passionate about", "leveraged cutting-edge AI". And claim nothing you did not build: an interviewer will ask you to walk through it.
Your task
Write five bullets about work from this course, each one line starting with "- ". Compare yours with the model bullets after you submit.
Sign in to practise
The lesson is free to read. A free account lets you talk to the practice bots, run your code and save your score. You will come back to this lesson.
How this is checked: When you submit, the server checks it against the rules in the task. Your result names any rule it breaks. Compare it with the model answer after you submit.
Core checks earn 50 points and the harder checks the other 50. You can submit as many times as you like.
About this lesson
AI testing CV bullet points with measurable evidence: a number, a scope and a link
AI Testing for QA Engineers·Advanced·Career, capstones and the Cold Product Test
How it works
Hiring managers for AI testing roles look for evidence that you have evaluated something, not a list of tools. A strong bullet has three parts: a number, such as cases, defects or a rate; a scope, meaning what was tested on what kind of product; and a link to the artefact in your portfolio repository, so the claim can be checked.
Phrases nobody can check weaken a CV: familiar with, exposure to, passionate about. So do claims about work you did not do, because an interviewer will ask you to walk through any bullet in detail.
About the assignment
Write five one-line bullets about work from this course, each with a number and a link to its artefact.
What you will do
1Pick five pieces of work you can explain in detail.
2Give each a number and a scope.
3Link each to the folder or file in your repository that shows it.
Common mistakes
Inflated numbers
Small, real numbers survive questions; large invented ones do not.
Links to a profile page
Link to the artefact itself, not to your account.
In a real test suite
Recruiters skim, so the number and the product kind should appear early in each bullet. Engineers who read further will click the link, which is why the artefact behind it should have a short README explaining what it shows.
Keep the portfolio repository tidy: one folder per piece of work, each with its data, code and a few lines on what you found.
