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
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.
