ISTQB Artificial Intelligence (AI) Tester

Learn a step-by-step approach to testing AI-based systems.

Become a certified AI tester!

The ISTQB Artificial Intelligence (AI) Tester certification extends understanding of quality engineering to AI and/or deep (machine) learning, most specifically testing AI-based systems and using AI in testing. The course syllabus concentrates on understanding the current state and expected trends of AI to design and execute test cases for AI-based systems.

By the end of the course, you will be able to understand how AI can be used to support software testing. You will also be able to contribute to the test strategy for an AI-based system.

Course Overview

Introduction to AI.
Quality characteristics for AI-based systems.
Machine Learning (ML) overview.
ML data.
ML functional performance metrics.
ML, neural 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 to analyse reported defects and test case generation.
Using AI for the optimisation of regression test suites.
Using AI for defect prediction.
Using AI to test through the graphical user interface (GUI).

Target Audience

Anyone involved in testing AI-based systems and/or AI for testing.
Testers, test analysts, data analysts, test engineers, test consultants, test managers, user acceptance testers, and software developers.
Anyone who wants a basic understanding of testing AI-based systems and/or AI for testing.
Project managers, quality managers, software development managers, business analysts, operations team members, IT directors, and management consultants working with an AI-based system.

Course Pre-requisites

The candidate must hold the ISTQB Foundation certificate to undertake the ISTQB AI Tester course. A minimum of 12 months’ testing experience is also recommended.

Learning Outcomes

Definitions of AI and AI effect, narrow, general and super AI, AI-based and conventional systems. AI technologies, AI development frameworks, hardware for AI-based systems, AI-as-a-Service, pretrained models, standards and regulations.
AI system flexibility, adaptability, autonomy, evolution, bias, ethics, side effects, transparency, and safety.
Forms of ML, workflow, forms of ML selection and factors involved, overfitting and underfitting.
data preparation, validation, quality issues and effects, labelling for learning.
AI performance metrics – limitations, selection, and benchmarking.
Neural networks and coverage measures.
AI-based systems specifications, test levels, test data, automation bias, documentation, concept drifts and test approaches.
Challenges in testing self learning and autonomous systems, including transparency, interpretability, and explainability. Test objective and acceptance criteria.
Test methods, techniques and selection for adversarial attacks, pairwise, back-to-back, A/B, metamorphic and experience-based testing.
Test environments for AI testing.
Using AI for defect analysis and prediction, test case generation and user interfaces.

What is included with this course?

Inclusion	Instructor Led Training
4 Days’ Training		4 days of live online training with a certified industry professional.
Course Manual		Comprehensive course manual.
Revision Questions		End of each module revision questions.
Practice Exam		Full mock exam.
Skills Development		Course content that is designed to grow competencies and support career development through interactive and engaging learning.

Trusted by Professionals

“The course was interactive and used real-life examples,
I will recommend this course to others to help prepare them for their exams. Instructiveness and examples made concepts very clear. I will apply my e-learnings in my day-to-day work and test AI based solutions”

Samresh Bhardwaj

ISTQB Artificial Intelligence (AI) Tester – Live Online

“The instructor used hands-on examples and shared several recent news stories related to AI, which made the session highly engaging. Their presentation style was dynamic and helped maintain interest throughout and provided valuable insights into various AI testing methods, which I plan to apply in my work. I would definitely recommend it, as AI is increasingly integrated into our products and can significantly enhance everyday tasks through improved efficiency.”

Nadya Veretnova
QUEENSLAND DEPARTMENT OF TRANSPORT AND MAIN ROADS
ISTQB Artificial Intelligence (AI) Tester – Live Online

“The instructor used hands-on examples and shared several recent news stories related to AI, which made the session highly engaging. Their presentation style was dynamic and helped maintain interest throughout. The course provided valuable insights into various AI testing methods, which I plan to apply in my work. I would definitely recommend it, as AI is increasingly integrated into our products and can significantly enhance everyday tasks through improved efficiency.”

Anonymous
TEST LEAD
ISTQB Artificial Intelligence (AI) Tester – Live Online

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