Interested in expanding your understanding of artificial intelligence and deep (machine) learning? Are you looking to learn about testing AI-based systems or using AI to test?
During this 3-day certified workshop, you'll learn about AI and ML, how to test it, and how to use it in your testing.
ISTQB, the International Software Testing Qualifications Board, is the world’s most successful scheme for certifying software testers.
In late 2021, ISTQB launched the first certification relating to AI Testing.
The ISTQB® AI Testing (CT-AI) certification extends understanding of artificial intelligence and/or deep (machine) learning, most specifically testing AI-based systems and using AI in testing.
The technical exercises in this workshop are conducted using a web-based portal, and we will use remote tools in case we need to jump on to help you with a problem.

This course will be offered virtually over 3 full-day sessions.
Our virtual courses offer the same expert-led, hands-on experience we've offered since 2013 — accessible from the comfort of your own home (office). You'll join Adam and participants from around the globe in a virtual classroom where you'll learn the essential skills to prepare for the the ISTQB® AI Testing (CT-AI) certification. |
Learn how to:
You will learn about AI and ML, how to test it, and how to use it in your testing.
Available dates
Dates coming soonOur team is happy to discuss other options with you.
Contact us at sales@skillsmatter.com and mention ref:
Private tuition and large-group discounts are also available. Find out more here.
Who should take this workshop?
The Certified Tester AI Testing (CT-AI) qualification is aimed at people who are seeking to extend their understanding of artificial intelligence and/or deep (machine) learning, most specifically testing AI based systems and using AI to test.
Prerequisites
You must hold the ISTQB® Certified Tester Foundation Level (CTFL) certificate to sit the exam, but you can do the training even if you don’t.
You don’t need any experience of AI.
Workshop Outline
- Introduction to AI
- Quality Characteristic for AI-Based Systems
- Machine Learning (ML) - Overview
- ML - Data
- ML Functional Performance Metrics
- ML Neutral Networks and Testing
- Testing AI-Based Systems - Overview
- Testing AI-Specific Quality Characteristics
- Methods and Techniques for the Testing of AI-Based Systems
- Test Environments for AI-Based Systems
- Using AI for Testing