ISTQB Certified Tester AI Testing

Course Overview

The ISTQB® AI Testing (CT-AI) certification provides a comprehensive understanding of artificial intelligence and deep learning, focusing on testing AI-based systems and utilizing AI in testing. The course covers the creation of AI/ML-based systems, the AI solution development process, and how to test models within that process. It also addresses the challenges of testing AI-based systems and explores various techniques for testing AI/ML systems. Additionally, the course demonstrates how AI can enhance testing and test automation. This is a hands-on course designed for practical learning.

• Lifetime validity certification
• Post training support
• No coding pre-requisite
• Instructor-led programs
• Real life case studies
• Assignments

Key Takeaways

• Grasp the current state and anticipated trends of AI
• Experience the implementation and testing of an ML model, identifying where testers can best impact its quality
• Understand the challenges of testing AI-based systems, including self-learning capabilities, bias, ethics, complexity, non-determinism, transparency, and explainability
• Contribute to the test strategy for an AI-based system
• Design and execute test cases for AI-based systems
• Recognize the unique requirements for test infrastructure to support AI-based system testing
• Learn how AI can be leveraged to enhance software testing

Best suited for:

The Certified Tester AI Testing certification is designed for anyone involved in testing AI-based systems and/or using AI in testing. This includes roles such as testers, test analysts, data analysts, test engineers, test consultants, test managers, user acceptance testers, and software developers. The certification is also suitable for individuals seeking a basic understanding of testing AI-based systems and/or using AI for testing, such as project managers, quality managers, software development managers, business analysts, operations team members, IT directors, and management consultants.