ISTQB® Certified Tester AI Testing (CT-AI)

Duration of courses

4 Days



About the Course

Advance your career in the AI field with the ISTQB® AI Testing (CT-AI) certification, and extend your understanding of artificial intelligence and/or deep (machine) learning, most specifically testing AI-based systems and using AI in testing.

For Training:
Recommended: Undergone training in the ISTQB CTFL Course

Exam Prerequisite:
Candidates must hold the ISTQB Certified Tester Foundation Level (CTFL) certificate.


Who should attend?
Testers, test analysts, data analysts, test engineers, test consultants, test managers, user acceptance testers and software developers testing AI-based systems and/or utilises AI for testing.

Recommended:  Anyone who needs basic exposure on testing for AI-based systems and/or AI for testing, such as project managers, quality managers, software development managers, business analysts, operations team members, IT directors and management consultants.

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

Course Outline

Chapter 1:
Introduction to AI

Chapter 2:
Quality Characteristics for AI-Based Systems

Chapter 3:
Machine Learning (ML) – Overview

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

Upcoming Class

Face to face (F2F) or Remote online training (ROT)
06-09 June
MS Teams
Remote online training (ROT)
20-23 Nov
MS Teams
Remote online training (ROT)

Pricing & Payment Plans

Course Fee

RM 7,500

Plus RM 1,050 for exam fee.
*Price above before SST

Fill the training course registration form by clicking the button below to register.
You can reach us via WhatsApp at +6011 51124480 between Monday and Friday,
9 a.m. to 6 p.m.

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