Certificate Training Objectives:

• Understand the fundamental concepts and principles of artificial intelligence.
• Learn specialized testing techniques for AI systems, including machine learning models and algorithms.
• Gain expertise in evaluating AI system performance, accuracy, and reliability.
• Acquire knowledge of ethical considerations and regulatory compliance in AI testing.

Certificate Benefits:

• Validates proficiency in testing AI systems and applications.
• Enhances career opportunities in AI testing and quality assurance roles.
• Demonstrates the ability to effectively validate and ensure the reliability of AI-based solutions.
• Provides a globally recognized certification.

Who Should Attend:

• Testers and quality assurance professionals involved in testing AI systems.
• AI developers and engineers interested in understanding AI testing principles.
• Software professionals working with AI-based applications.
• Anyone seeking to specialize in AI testing and quality assurance.

Prerequisites:

Participants are recommended to have the ISTQB Foundation Level (CTFL) Certification or equivalent knowledge of software testing principles. Familiarity with artificial intelligence concepts and technologies is beneficial but not mandatory.

Exam Structure:

• Duration: 1 hour
• Format: Multiple-choice questions
• Number of Questions: 40
• Passing Score: 65%
• Closed book exam

Certification:

Holders of the CT-AI Certification may choose to pursue advanced certifications in AI testing or explore other specialized certifications related to software testing, quality assurance, or AI technologies. These certifications provide further specialization and career advancement opportunities in the field.