AiU - CTAI

설명

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