ISTQB CT-AI

ISTQB® CT - AI Testing

Description

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.

Individuals who hold the ISTQB® Certified Tester- AI Testing certification should be able to accomplish the following business outcomes:

Understand the current state and expected trends of AI
Experience the implementation and testing of a ML model and recognize where testers can best influence its quality
Understand the challenges associated with testing AI-Based systems, such as their self-learning capabilities, bias, ethics, complexity, non-determinism, transparency and explainability
Contribute to the test strategy for an AI-Based system
Design and execute test cases for AI-based systems
Recognize the special requirements for the test infrastructure to support the testing of AI-based systems
Understand how AI can be used to support software testing

Chapter 1: Introduction to AI

Chapter 2: Quality Characteristics for AI-Based Systems

Chapter 3: Machine Learning (ML)

Chapter 4: ML - Data

Chapter 5: ML Functional Performance Metrics

Chapter 6: ML - Neural Networks and Testing

Chapter 7: Testing AI-Based Systems Overview

Chapter 8: Testing AI-Specific Quality Characteristics

Chapter 9: Methods and Techniques for the Testing of AI-Based Systems

Chapter 10: Test Environments for AI-Based Systems

Chapter 11: Using AI for Testing

Target Audience

Requirements

Have successfully passed the ISTQB® CTFL Certification exam and hold the certificate.
First experience in AI projects is recommended, but not required.