The AiU CTAI exam is no longer available in this form, as this certification has been adapted into the esteemed ISTQB Portfolio under the name ISTQB Certified Tester in AI (CT-AI).More information can be found here.
With the current trends in technology and the growing incorporation of artificial intelligence and machine learning, Artificial Intelligence United (AiU) was created to support the understanding of implementation of these important advancements. AiU - Certified Tester in Artificial Intelligence (AiU-CTAI) is a 3-day practical certification course, which goes beyond the fundamentals of AI and machine learning, to discover the differences associated with testing in this new world. Join the Artificial Intelligence United community and embark on your AI/ML journey today: www.artificialintelligence-united.com
Chapter 1: Introduction to Artificial Intelligence
Artificial Intelligence (AI)
Machine Learning (ML)
Deep Learning (DL)
Stages of the ML Process
Chapter 2 - Overview of Testing AI Systems
AI Testing Phases
AI vs. Non-AI Testing 18 2.2.1 Testing of AI system
AI Quality Characteristics
Chapter 3 - Offline Testing of AI Systems
Data Preparation and Preprocessing
Chapter 4 - Online Testing of AI Systems
Architecture of an AI application
Linguistic Analysis Test Design Method
Testing AI systems
Chapter 5 - Explainable AI
Explainable AI (XAI)
CAM for Neural Networks
Chapter 6 - Risks and Test Strategy for AI Systems
Risks in testing AI
Chapter 7 - AI in Testing
AI for Software Testing Life Cycle (STLC)
AI based automation tools
Anybody who has to test or manage testing of systems that involve AI.
Generally there are no pre-requisites for attending this course; however, AiU does recommend that the participants have experience in testing and hold ISTQB CTFL certification.
Download the syllabi for this certification or see sample exams.