Build a shared foundation in data quality, model errors and testing methods. 62 short lectures, questions with explanations and Kai, the AI mentor.
For teams with a QA background. Seats, access and rollout are agreed in your quote.
6 public reviews of Module 1 · EN · RU · UK content
Use one curriculum to discuss the AI features your team tests.
Understand the same ideas behind data quality, model errors and testing methods.
Use the lectures and practice questions as a starting point for team reviews.
Give QA colleagues one structured introduction to AI testing.
Individual access to the full course for each team member. The programme teaches AI testing theory and reinforces it with questions.
Full syllabus →Tell us your team size, country and preferred start date. Anastasia will reply with a quote and access details.
Prefer email? Write to ai.tester.course@gmail.com
Yes. Include the planned number of participants in your inquiry so we can agree a pilot before a wider rollout.
Access is set up by hand and provisioned per person using names and email addresses. A self-serve admin view is on the roadmap, not live yet.
Course materials are in English, Russian and Ukrainian. Polish and Korean interfaces are available; some materials are shown in English.
Yes. The course teaches AI testing theory and also helps with CT-AI v1.0 preparation. The external exam is booked and paid separately with an exam provider and requires CTFL. Passing is not guaranteed.
Version 2.0 is already available. The v1.0 exam window ends on 21 April 2027 in English and 21 October 2027 in other languages. Check current ISTQB conditions before booking.
The individual course has a 14-day money-back guarantee. Team licence refund terms are confirmed in writing in your quote before purchase.
Yes. Include your billing and procurement requirements in the inquiry. We will confirm the invoice details and any required documents before payment.
