Background

There are many similarities between Artificial Intelligence and human intelligence for one simple reason: Artificial Intelligence aims to mimic human intelligence.  The term Artificial Intelligence dates back to the 1950s and refers to the objective of building and programming “intelligent” machines capable of imitating human beings.

As AI systems become more human, they become less predictable, and there are unique problems and quality characteristics, which need to be considered when testing such systems.

The first of three main chapters of the A4Q AI and Software Testing Syllabus teaches all Key Aspects of Artificial Intelligence, including the history of AI, Symbolic AI (humad-readable AI) as well as where the limits of AI can be found.

After everyone is speaking the AI-Language the path continues to Testing AI Systems. In this part all participants learn different strategies and metrics for Testing AI Systems as well as the general problems which come along with the testing.

Using AI to Support Testing and how to apply AI to testing tasks and QM. AI and Software Testing Foundation certification attests to an individual’s knowledge and understanding of the use of Artificial Intelligence in relation to Testing of AI-based applications and AI for Software Testing.

Target Audience

• Software Testers & Engineers.
• Usability Designers.
• Designers.
• Anyone involved or interested in understanding AI in software testing.
• Managers seeking to understand how AI can add value in their organization.
• Business Analysts working seeking to understand the value of AI to the business.

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(Note: there are no prerequisites for taking the A4Q AI and Software Testing Exam.)