a Techtorial Academy program
We teach people to test. Now we teach testers to use AI.
TestHubble is a Techtorial Academy program. Techtorial has spent years turning people with no testing background into working software test engineers. TestHubble uses that same teaching experience for a different group: QA teams who already know testing, whose companies have adopted AI tools, and who need to use them well in real test code.
Where we come from
Techtorial Academy was founded in 2019 and has run continuously since then. It trains career-changers from zero to software test engineer: Java, Selenium, the software testing life cycle, and preparing for interviews. More than 2,000 students have gone through the program, and graduates now work as test engineers at IT companies in many places.
What that taught us: people learn testing by doing it on real code, with someone reviewing their work. The same holds for AI. Watching a demo doesn’t change how a team works. Writing, reviewing, and fixing tests in your own repo does.
- Founded
- 2019
- Students trained
- 2,000+
- Graduates
- Working as test engineers at IT companies
How we teach
The way Techtorial has taught since 2019: live, by practitioners who have spent years training test engineers, on real code, with someone reviewing the work. TestHubble applies it to your team, your framework, and the AI tools your company already uses.
Live and instructor-led. Not a video library. Questions get answered on your code, in the session.
Private to your team. Cohorts of 3–15 of your own engineers, remote or on-site.
In your repo. Your framework, your backlog, your approved AI tools. No demo app.
Reviewed like real work. Every AI-written test goes through code review before it counts.
How we think about AI in testing
AI writes drafts. Engineers own the tests.
Every AI-written test gets reviewed like any other code.
Your framework, not a demo app.
Skills that only work on a toy project don't survive the first sprint.
Be honest about the limits.
AI gets locators wrong, invents APIs, and skips edge cases. Knowing when not to use it is part of the training.
Measure, don't promise.
We report what changed, with context, and say so when something didn't.
Vendor-neutral.
We don't sell a testing tool. We'll tell you when an AI-native platform fits better than training.