ISTQB AI Testing (CT-AI) Certification and Training Program

The ISTQB AI Training & Certification program aims to equip participants with comprehensive knowledge and practical skills in testing AI systems. The objective is to understand the unique challenges, apply specialized techniques, and ensure the reliability, accuracy, and ethical compliance of AI solutions through rigorous testing.

ISTQB AI Testing (CT-AI)

The Certified Tester AI Testing (CT-AI) Certification and Training Program is a comprehensive course designed to provide participants with specialized knowledge and skills in testing artificial intelligence (AI) systems. This program focuses on equipping testers with the necessary techniques and strategies to effectively test and validate AI-based applications.

Certificate Training Objectives: The CT-AI Certification training program aims to achieve the following 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: The CT-AI Certification offers the following 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: The program is suitable for the following individuals:

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 hours
Format: Multiple-choice questions
Number of Questions: 40
Passing Score: 65%
Closed book exam

Certification Roadmap: 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.

Conclusion: The Certified Tester AI Testing (CT-AI) Certification and Training Program equips participants with specialized skills and knowledge required for effective testing of AI systems. It enables professionals to evaluate the performance, accuracy, and reliability of AI-based applications, ensuring their quality and integrity. The certification opens doors to exciting career opportunities in AI testing and quality assurance roles, showcasing the expertise of professionals in the field of AI testing.

CURRICULUM

Discover our comprehensive course curriculum designed to equip you with the knowledge and skills you need to succeed. Dive into a structured learning journey that covers all essential topics and prepares you for real-world challenges

Session 01 : Introduction to AI

1.1 Definition of AI and AI Effect.

1.2 Narrow, General and Super AI

1.3 AI-Based and Conventional Systems

1.4 AI Technologies

1.5 AI Development Frameworks

1.6 Hardware for AI-Based Systems

1.7 AI as a Service (AIaaS)

1.8 Pre-Trained Models

1.9 Standards, Regulations and AI

Session 02: Quality Characteristics for AI-Based Systems

2.1 Flexibility and Adaptability

2.2 Autonomy

2.3 Evolution

2.4 Bias

2.5 Ethics

2.6 Side Effects and Reward Hacking

2.7 Transparency, Interpretability and Explainability

2.8 Safety and AI

Session 03: Machine Learning (ML) – Overview

Session 04: ML - Data

Session 05: ML Functional Performance Metrics

Session 06 : ML - Neural Networks and Testing

Session 07: Testing AI-Based Systems Overview

Session 08: Testing AI-Specific Quality Characteristics

Session 09 : Methods and Techniques for the Testing of AI-Based Systems

Session 11: Test Environments for AI-Based Systems

Session 12: Using AI for Testing

Internaal Mock Test

Sample certificate

Get a sneak peek of the certificate you'll receive upon completing a certification exam on TestoMeter! Take a look at what you'll earn as a symbol of your accomplishment.

CERTIFICATION ASSESSMENTS

Upon successfully passing the exam, participants will be awarded the Certified Tester AI Testing (CT-AI) Certification. This globally recognized certification demonstrates expertise in testing AI systems and applications.

Nitin G,

TestoMeter training institute provided an exceptional experience for my ISTQB AI Testing (CT-AI) certification journey. From the ease of exam booking to the comprehensive training sessions, they ensured my success in passing the exam on my first attempt. The internal mock exams were invaluable in assessing my preparedness, and the final exam was well-structured and aligned with the actual certification requirements. Thanks to TestoMeter, I gained the knowledge and confidence needed to excel in AI testing. Highly recommended!

Nitin G, ISTQB AI Testing (CT-AI)

Nitin G2,