Typical roles
- You design or automate tests and want to use AI for it without trusting it blindly.
- You lead testing and are expected to introduce AI into your team's test process.
- You develop software and are responsible for testing it yourself.
tecnovy AI Suite
AI for QA & Testing
This course is not an ISTQB certification, and it is not about testing AI systems. Testing with generative AI as an ISTQB certification is CT-GenAI; testing AI-based systems is CT-AI. Here you use AI in your own testing work, on a sample application with requirements, test cases and automation. You derive test cases, generate test data and test scripts, and analyse defects. Whatever the AI produces, you check before you adopt it.
Attendance certificate4.8/5 on ProvenExpert
What this module delivers.
In tecnovy's AI for QA & Testing, AI drafts test cases, test data, test scripts and defect reports, and you check each one. For testers and QA engineers bringing AI into their team with rules for reviewing its output.
How the training runs
- Method
- Exercises on a sample application, from requirement to test script
- Basis
- tecnovy curriculum using ISTQB terminology
- Outcome
- tecnovy certificate of participation, no examination
Dates & booking
Choose a date that fits
No public dates are scheduled yet.
New dates are published regularly. Join the waitlist or plan an in-house course for your team.
Fit
Who this module is designed for
Prerequisites
No prerequisites
You can start right away. What you need: basic software testing knowledge (for example at ISTQB Certified Tester Foundation Level).
Consider instead CT-GenAI · ISTQB® - Certified Tester Testing with Generative AI Training For anyone who wants testing with generative AI as an ISTQB certification: with a separate examination and the ISTQB Foundation Level certificate (CTFL) as a requirement.
Curriculum
AI for QA & Testing in Detail
Five parts following the test activities, all on the same sample application: you work out where AI fits and where it stops, design test cases, generate test data and scripts, analyse results, and finally plan the roll-out in your team.
01AI in the test process
This part works out where AI helps in testing and where you should not trust it.
- Where AI fits across the test activities, from analysis to evaluation
- The limits of AI-assisted testing
- The risks of AI-assisted testing
02Test analysis and test design
Here the first test cases emerge from the sample application's requirements.
- Deriving test conditions from requirements
- Deriving test cases from requirements
- Applying test techniques such as equivalence partitioning with AI
03Test data and automation
This part gets the test cases running with data and scripts.
- Generating synthetic test data with AI
- Respecting data protection in test data
- Creating test scripts with AI
- Maintaining test scripts with AI
04Evaluation and reporting
After execution, AI helps you analyse the results and pass them on.
- Defect analysis with AI
- Writing defect reports with AI
- Test reports for different audiences
05Adoption in the team
Finally, how AI in testing takes hold in your team for good.
- Quality assurance for AI-generated test artefacts
- Measuring the benefit
- Adapting test processes
Outcome
What you will be able to do afterwards
- 01
You place where AI helps across the test activities and where its limits and risks lie.
- 02
You derive test conditions and test cases from requirements with AI.
- 03
You apply test techniques such as equivalence partitioning with AI support.
- 04
You generate synthetic, that is artificially created, test data with AI while respecting data protection.
- 05
You create test scripts with AI and keep them up to date as things change.
- 06
You analyse defects with AI and write defect and test reports for different audiences.
- 07
You check AI-generated test cases, test data and scripts before you adopt them.
- 08
You define how your team measures the benefit of AI in testing, and adapt the test process.
tecnovy Teilnahmezertifikat
Confirms your attendance and the curriculum covered in the training. Issued by tecnovy, shareable on LinkedIn.
Open the Certificate Showroom tecnovy →
Offer scope
What is included
Included
- Prompt collection for testing tasksYou receive the collection and can use the prompts in your own projects after the course.
Why tecnovy
What you get on top with us
01
No Slideshow, Hands-On!
Promised: no PowerPoint marathon. We work in groups, tie theory to practice, and you get real project examples from our experienced trainers plus the exchange with like-minded people.
02
Certificate Showroom
Get your certificate of participation and, if you have one, add your exam certificate from E-Learning. Fully automated, beautifully designed. Just for you, only at tecnovy.
03
Flexible Date Change
If you are not able to attend the course, you can rebook your training free of charge up to one week before the start of the training.
04
Attend Twice, Pay Once
You are welcome to attend the training online again within a year as a refresher.
05
Learn from Experts
We always guarantee you the use of didactically and methodically first-class qualified trainers who draw their knowledge from training experience as well as professional practical and project experience.
FAQs
Frequently asked questions
01Is AI for QA & Testing an ISTQB certification?
No. AI for QA & Testing is a tecnovy course without an examination and does not prepare you for any ISTQB exam. With 80% attendance you receive the tecnovy certificate of participation.
02How does AI for QA & Testing differ from ISTQB CT-GenAI?
Both use AI in testing, but only CT-GenAI is an ISTQB certification at Specialist Level, with a separate examination and the ISTQB Foundation Level certificate (CTFL) as a requirement. tecnovy's AI for QA & Testing follows its own curriculum, ends without an examination and requires no certificate.
03Does AI for QA & Testing teach me to test AI applications?
No. In tecnovy's AI for QA & Testing, AI is your tool for testing your software. Testing AI-based systems themselves is the subject of the ISTQB CT-AI certification.
04Do I need the ISTQB Foundation Level certificate for AI for QA & Testing?
No, no certificate is needed. For tecnovy's AI for QA & Testing you should bring basic software testing knowledge, for example at ISTQB Certified Tester Foundation Level.
05Which tools does AI for QA & Testing use?
With common AI assistants, with coding agents, meaning AI tools that write and change code on their own, and with a widely used test automation framework. tecnovy's AI for QA & Testing teaches no single product but how to use them in your test activities.
06Can I adopt AI-generated test cases as they are?
Not without checking them. In tecnovy's AI for QA & Testing you check AI-generated test cases, test data and scripts before adopting them, and work out how your team organises that review.
07How does AI for QA & Testing handle data protection in test data?
As part of working with test data: in tecnovy's AI for QA & Testing you generate synthetic, that is artificially created, test data with AI while respecting data protection. The limits and risks of using AI in testing are also covered in the first part.
08Is AI for QA & Testing suitable for a whole test team?
Yes. The final part of tecnovy's AI for QA & Testing covers adoption in the team: quality assurance for AI-generated test artefacts, measuring the benefit and adapting your processes.
What does your training at tecnovy look like?
AI for QA & Testing
No dates yet
We will let you know as soon as the next date is scheduled.