Description
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
- Metrics
- Model Evaluation
- Analytics
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)
- LIME
- CAM for Neural Networks
Chapter 6 - Risks and Test Strategy for AI Systems
- Risks in testing AI
- Test Strategy
Chapter 7 - AI in Testing
- AI for Software Testing Life Cycle (STLC)
- AI based automation tools
Target Audience
Anybody who has to test or manage testing of systems that involve AI.
Requirements
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.
