Certified Tester AI Testing (CT-AI)

Audience

The Certified Tester AI Testing certification is aimed at anyone involved in testing AI-based systems and/or AI for testing. This includes roles such as testers, data analysts, test engineers, and software developers. It is also suitable for project managers, quality managers, and IT directors seeking a basic understanding of AI testing.

Prerequisite: Certified Tester Foundation Level certificate.

Content

Introduction to AI

Definition of AI
AI-Based and Conventional Systems
AI Technologies and Frameworks

Quality Characteristics for AI

Bias and Ethics
Transparency and Explainability
Safety and Autonomy

Machine Learning (ML)

ML Workflow and Data Preparation
Training and Validation Datasets
Performance Metrics

Testing AI-Based Systems

Challenges in Testing AI
Testing for Bias and Drift
Test Levels and Objectives

Using AI for Testing

AI for Test Case Generation
Defect Prediction and Analysis
Optimizing Regression Test Suites

Exam Structure

No. of Questions: 40
Passing Score: 31
Total Points: 47
Exam Length (mins): 60 (+25% Non-Native Language)

Business Outcomes

✔ Understand AI trends and testing challenges
✔ Design and execute test cases for AI-based systems
✔ Contribute to test strategies for AI systems
✔ Use AI technologies to enhance testing processes