To wersja testowa nowego serwisu infoShare Academy — wyświetlane treści i oferta nie są wiążące ani kompletne

AI

AI for Testers

The AI for Testers training is a comprehensive course combining knowledge of artificial intelligence with practical software testing.

Duration
24h · 3 days
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Who it's for

Ideal for teams that…

1 QA professionals or software testers (manual or automated)
2 Specialists with basic knowledge of testing tools
3 Testers interested in using AI to automate, analyze, and optimize QA processes
4 Professionals wanting to explore practical AI tools that support testers
Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

Fundamentals of AI and ML in the context of QA

✓

Creating and optimizing prompts for generating test cases

✓

Automating test result analysis with AI

✓

Generating test cases for different types of tests

✓

Integrating AI with popular testing tools (Selenium, Playwright, Cypress)

✓

Verifying test accuracy and coverage with AI support

✓

Identifying limitations of AI models and managing risks of their application

Program

What we actually do

  • · Day 1 – Introduction to AI in Testing Fundamentals of AI and ML in the QA context AI applications in testing: test data analysis, automation, test case generation LLMs and SLMs – language model evolution, how they work, and how they can support testers Overview of tools and environments: OpenAI API, open-source tools, integrations with popular testing frameworks AI and software quality – how AI transforms the testing lifecycle and the tester’s role Challenges of adopting AI in QA: reliability of results, security, compliance
  • · Day 2 – AI in a Tester’s Daily Practice Introduction to Prompt Engineering for testers: how to write prompts for generating test cases and QA scenarios Generating test cases for different types of tests (unit, integration, exploratory) Automating test result analysis with AI Supporting the creation of test scripts and test data Verifying test accuracy and coverage with AI support AI limitations in testing – hallucinations, analysis errors, risk assessment
  • · Day 3 – Tools and Case Studies AI integration with test automation tools (e.g., Selenium, Playwright, Cypress) Generating and analyzing test reports with AI support QA Copilot – using GenAI-powered tools to assist in testing Practical use cases: Regression testing with AI Identifying test coverage gaps Automatic suggestions for exploratory testing Preparing test data with AI – opportunities and potential risks The future of AI in QA: predictive bug detection and risk analysis Closing discussion: how to effectively implement AI in QA teams
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

How we handle your data

We process your business data (name, work e-mail, phone number, company, job title) in order to handle your corporate training inquiry and prepare an offer. The data controller is infoShare Academy Sp. z o.o., Al. Grunwaldzka 472B, 80-309 Gdańsk. Providing the data is voluntary but necessary to receive a response. You have the right to access, rectify, erase or restrict the processing of your data and to object to it. Full information is available in our data processing notice.

Optional marketing consents

The controller of your personal data is infoShare Academy sp. z o.o. The rules for processing personal data are set out in the Privacy Policy and the Data Processing Notice.

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