ISTQB® Certified Tester – AI Testing (CT-AI)
AI Testing: Certification Training for AI-based Software
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Artificial Intelligence (AI) has become indispensable in today’s society. Developments in AI and in AI-based software follow each other in rapid succession. That means new and different challenges in the testing profession and AI testing. How do you determine whether an AI-based system meets quality requirements when the software is self-learning. How do you integrate testing of AI-based systems within the organization. How do you set up a testing infrastructure when an AI-based system is part of your application landscape, and what other testing challenges do you encounter.
This training is based on the ISTQB® Certified Tester AI syllabus and aims to provide participants with practical knowledge on the fundamentals of testing AI-based systems. The training will cover various topics such as developments within AI, generating, training, implementing and testing Machine Learning systems, AI-related testing challenges, testing strategy, test cases and testing infrastructure for AI-based systems. In addition, participants will be prepared for the ISTQB® Certified Tester AI exam.
Prior Knowledge
ISTQB® Foundation certification.
Exam
Upon completion of the training, participants will receive a voucher that allows them to take an online or physical exam of their choice. The exam is in English in the form of a multiple choice exam. For groups of at least six people, a classroom exam may also be administered.
Prerequisite for certification is that the participant has the ISTQB® Foundation certificate. If the participant does not already hold that certificate, the exam can be taken, but the participant will not yet receive the “ISTQB® Certified Tester AI Testing” certificate.
This training is given in Dutch
This training is given in Dutch
The investment for participation in this training is €1,595 per person, excluding exam fee €200 and excluding VAT.
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Topics covered during this training are:
What is the current state and expected trends of AI?
How do you implement and test a Machine Learning model?
What challenges do you encounter when testing AI-based systems? Examples / Among others: self-learning ability, biases, ethics, complexity, non-determinism, transparency and explainability of AI.
How does testing AI-based systems fit into the testing strategy?
How do you design and execute test cases for AI-based systems?
What are the testing infrastructure requirements to support testing of AI-based systems?
Who is this training for?
This course is suitable for anyone interested or involved in testing AI-based systems and/or AI for testing, including testers, test analysts, data analysts, test engineers, test consultants, test managers, user acceptance testers and software developers. But also for anyone who wants a basic understanding of testing AI-based systems, including project managers, quality managers, software development managers, business analysts, operations team members, IT directors and management consultants.
