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.Training is independent of any ISTQB member board, allowing candidates to register for exams with any board like GASQ, ITB, iSQI, BCS, ASTQB etc.

Certification Overview

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:

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 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.

CERTIFICATION PROCESS

1

2

Training and Study Materials

3

Internal Mock Examinations

4

Final ISTQB CT AI Examinations

5

Certification Award

6

Continuous Learning for next Level

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

Session 02: Quality Characteristics for AI-Based Systems

Flexibility and Adaptability
Autonomy
Evolution
Bias
Ethics
Side Effects and Reward Hacking
Transparency, Interpretability and Explainability
Safety and AI

Session 03: Machine Learning (ML) – Overview

Supervised, Unsupervised & Reinforcement learning
ML workflow, algorithm selection
Overfitting vs. underfitting
ML lifecycle stages

Session 04: ML - Data

Data preparation & cleaning
Labeling & annotation
Dataset quality & its impact on model performance
Training, validation, and test data

Session 05: ML Functional Performance Metrics

Confusion matrix
Metrics for classification, regression, and clustering
Benchmarking and metric limitations

Session 06 : ML - Neural Networks and Testing

Basics of neural networks
Coverage measures
Testing strategies for neural-based models

Session 07: Testing AI-Based Systems Overview

Specification, test levels & types
Bias, concept drift, automation bias
Documentation and test approaches

Session 08: Testing AI-Specific Quality Characteristics

Self-learning system challenges
Non-determinism and complexity
Bias testing (sample, algorithmic, etc.)
Explainability and oracle problems

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

Adversarial testing & data poisoning
Pairwise, A/B, back-to-back & metamorphic testing
Exploratory & experience-based testing

Session 10: Test Environments for AI-Based Systems

Simulated and real-world environments
Virtual testing environments

Session 11: Using AI for Testing

AI in test case generation
Defect prediction, UI testing
Optimizing regression suites
AI in test automation tools

Internal 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 by ISTQB member board. This globally recognized certification demonstrates expertise in testing AI systems and applications.

Nitin G, ISTQB AI Testing (CT-AI)

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 G2,

Rushikesh M,

I recently completed the software testing training course offered by this institute, and I couldn't be more impressed! The curriculum is comprehensive, covering everything from manual and automation testing to advanced AI testing techniques. The instructors are highly knowledgeable and make even the most complex topics easy to understand. Additionally, the center offers ISTQB certification preparation, which was incredibly helpful in boosting confidence. The hands-on experience and real-world scenarios provided throughout the training really set this program apart. Highly recommended for anyone serious about building a career in software testing!

Mona Pawar,

I recently completed the ISTQB AI certification and The training was comprehensive, well-structured, and delivered by knowledgeable instructors. The hands-on experience and real-world examples really helped me grasp the concepts. I'd highly recommend Yogesh Sir to anyone looking to upskill in AI.