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AI tools for QA

For QA engineers with 1+ year of experience

AI course for QA engineers

Delegate routine work to AI and learn to test AI features

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Course authors

  • Serhii Sakhnenko

    Serhii Sakhnenko

    Lead QA · 11+ years of experience

    Led teams of up to 24 people, tested LLM models

  • Illia Koval

    Illia Koval

    QA Engineer · 5+ years of experience

    Previously QA at Uklon and Nova Pay

  • Startwhenever it suits you
  • Program6 modules, 18 topics
  • Duration~4 h/week, ~2 months
  • Formattheory + practice + workshops

From classic QA to testing with AI

The course is for

Manual or General QA with 1+ year of experience


Nice to have

  • Writing test cases, checklists and bug reports
  • Knowing REST APIs and basic SQL queries
  • Working on a product with AI features
  • Experience with Jira or TestRail

After the course, you

  • Delegate routine tasks to AI

    AI writes test cases, checklists, test data, SQL queries and bug reports, and you check the result

  • Work with autotests and APIs

    Write basic Playwright autotests with Copilot or Cursor, check APIs with OpenAPI/Swagger, analyze test failures in CI, test UI and accessibility

  • Test the AI features of your product

    Check chatbots and LLM features for hallucinations, non-determinism, prompt injection and data leaks

Learning outcome

An AI Use Map of your project

Detailed curriculum

6 modules — 18 topics

Tools you will work with

  • ChatGPT / Claude / Gemini of your choice
  • SQL
  • Postman + OpenAPI
  • Chrome DevTools
  • axe DevTools
  • Playwright (JS/TS)
  • GitHub Copilot or Cursor
  • Playwright MCP
  • Claude Desktop
  • Atlassian MCP + Jira
  • GitHub MCP
  • AI basics in QA work

    4 topics

    Where AI really helps QA, how to write prompts that work and generate test cases, test data and SQL.

    • AI in QA: capabilities and limits
    • Prompting for QA tasks
    • Generating test cases and checklists from requirements and user stories
    • Generating test data and SQL queries with AI
  • Routine, documentation and team processes with AI

    3 topics

    Bug reports, test plans, reports and team updates from raw test run notes. You check everything before you send it.

  • AI for API and UI testing

    2 topics

    Checks in Postman from an OpenAPI specification and triage of UI and accessibility issues with AI.

  • An AI assistant in autotest code

    3 topics

    You read and check Playwright test code, write tests with Copilot or Cursor and find out why CI fails.

  • Testing the AI features of a product

    3 topics

    You test chatbots and LLM features: hallucinations, non-determinism, evals, prompt injection and data leaks.

  • Your own AI-QA process through one ticket from start to end

    3 topics

    You build your own AI-QA process on one ticket: an agent with tools, a chain with checkpoints and a final project.

Why do you need this course?

If you already use ChatGPT, Claude or Copilot

  • Stop drowning in routine tasks

    Move from one-off prompts to an AI assistant that writes test cases, SQL and bug reports

    • Test cases from user stories
    • SQL for test data
    • A bug report in 2 minutes
  • Learn to check AI, not trust it blindly

    Catch AI mistakes and made-up facts before they get into your tests

    5 tests done

    Tests in progress19 in progress

    024

    Test progress scale
  • Learn how to test AI features

    Know how to test chatbots and LLM features, even if you only did classic QA before

    Test efficiency chart: +40%

Learn with support

Platform

Platform

Theory + videos + practice

Workshops with an expert

Workshops with an expert

Every two weeks in small groups

Mentors

Mentors

Answer every day from 10:00 to 21:00

Online Q&A

Online Q&A

Weekly Q&A sessions

Instructors

Who teaches the course

  • Serhii SakhnenkoSerhii Sakhnenko
    Course author

    Serhii Sakhnenko

    Lead QA at EPAM · 11+ years of experience

    • Worked on projects in game development, banking systems and solutions for the oil industry
    • Automated testing from scratch: monthly releases to production, 94% defect containment
    • Made test case writing faster with AI
    • Knows the limits of AI and teaches you to check its results
  • Illia KovalIllia Koval
    Course author

    Illia Koval

    QA at Esper Bionics, 5+ years of experience

    • Worked on web, mobile, fintech, healthcare, automotive and hardware/software products
    • Improved QA processes at Uklon and Nova Pay with millions of users
    • Tests the software, hardware and firmware of bionic prostheses
    • Teaches you to think in systems and see the risks of QA work with AI

For employers

Will your company pay for the course?

Send the course program to your manager, and we will take care of the invoice, the documents and all the organizational questions

We offer companies:

  • An invoice for a sole proprietor or a company
  • A receipt for reimbursement
  • An AI Use Map of your project
  • Offers for teams
Course program PDF file

Course program

Download PDF

Student reviews

  • The best academy to study at, one that really cares about your knowledge. The whole team smiles, and the atmosphere is always friendly. I have already finished my studies, but this is a place I would come back to. And if I ever want to grow in another direction, I will definitely choose Mate. Nobody will tell you it will be easy, but everyone, me included, will confirm it will be intense and productive.

    Mykola Kulyk

  • Mentors: "Well done, great progress!" and then 44 more change requests arrive. But to change your life, you have to leave your comfort zone. And as the classic said: "Misha, don't make a bored face, nobody will give you money". So, good luck with your studies to the students, and many thanks to the mentors for their advice and patience!

    Vyacheslav Biletskiy

  • I am studying at Mate Academy now. I really like how the learning is built: videos, then tasks, and everything is on one platform, so there is no need to switch. The check is instant, with no waiting. You can study at your own pace, and you can also turn on a deadline to stay motivated to study faster. I can see the progress of my studies right away, which also motivates me to keep going. There is support too: if something does not work, I can ask and get an answer. This is the best platform to study on.

    Oleksandra Zarubina

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  • I liked the Mate school for its convenient learning format and well-thought-out course structure. The material goes step by step, from simple to complex, which makes it easier to learn. An important advantage is mentor support: you can always ask a question and get help. You can also rewatch earlier lessons, which is handy for revision. An extra plus is the built-in AI that helps in the learning process.

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    Tiana Nováková

  • I want to leave a review about studying at Mate. It was a really great experience!

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  • I really like studying at this academy. The program is clear, well designed and gives a strong sense of progress. Everything here is focused on growth and real results. The atmosphere is professional, and everyone takes the studies seriously, which motivates me even more. I truly value being a part of this academy.

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    Andrii Chaplynskyi

  • I recommend Mate Academy to everyone who wants real knowledge and a real job. Among the many courses that stamp out certificates with no real value, this one is a true find.

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    Viktoriia Sierkova

  • I definitely recommend the Mate academy.

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    I am very grateful to the Academy for the help, support, deep knowledge and useful skills. It gave me a chance to prove myself and change my career path.

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    Thank you.

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Delegate routine work to AI and learn to test AI features

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FAQ

Frequently asked questions

  • Can I get my money back if the course does not suit me?

    Yes, within 7 days after the payment.

  • Will I get a certificate?

  • I am an Automation QA. What new will I get?

  • Do I need to know how to code? Will I learn to write autotests?

  • I test mobile apps. Will the course suit me?

  • How long will I have access? Will the program get outdated?

  • Do I need to buy a paid AI subscription?

AI courses, courses about AI and an applied course for QA – what's the difference

When you look for AI courses, most offers on the market are general: how to use ChatGPT, write prompts, automate routine tasks. Courses of that format work if you are in any field and simply want to learn how to interact with neural networks. AI tools for QA is a different story. It is not a course “about AI in general”, but an applied programme for testers: how to apply AI specifically in test design, automation and quality checks of AI products themselves. If you need not general AI courses but skills you can apply in a QA engineer's work right away, this is the direction.

QA (tester) courses: where AI fits in

Classic QA or tester courses teach the basics: test design, working with bug trackers, manual and automated testing. That is the foundation without which AI tools bring no results – AI amplifies skills, it does not replace them. The logical path looks like this: QA or tester courses build the base first, and only then an applied AI course takes that base to the next level – systematising prompts, automation and testing of AI products.

AI specialist courses: how AI tools for QA boost a QA career

AI specialist courses are usually aimed at people who want to change direction completely and become an AI professional from scratch. But there is another way – stay a QA engineer and add AI as a tool inside your own profession. That is exactly what the AI tools for QA course by Mate academy gives: 17 topics and 6 modules with practice, after which you can write reproducible prompts, review AI test cases for mistakes and test the AI product itself. It is not replacing a QA career with an AI specialisation, but levelling it up.
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