Certified AI Testing Professional (CAITP)

Certified Testing AI Professional: Ensure AI Systems' Accuracy and Reliability. Master AI Quality Assurance and Enhance Performance with Industry Standards.

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About Certified AI Testing Professional (CAITP)

Objectives Of Certified AI Testing Professional

Validate AI testing knowledge and practical expertise

Ensure the reliability and safety of AI systems

Understand ethical considerations in AI system testing

Apply AI testing best practices and methodologies

Leverage AI for effective software testing processes

Identify AI system risks and mitigation strategies

Implement AI testing tools and techniques effectively

Continuously upskill in the evolving AI testing domain

Benefits Of AI Testing Professional Certificate

Establishes credibility as a Certified AI Testing Professional, showcasing your expertise in the unique challenges of testing AI-driven systems.

Recognized globally, the AI Testing Certification increases your visibility and trust among recruiters and organizations. It serves as proof that you are trained to industry standards in AI quality assurance.

Certified AI Testing Professionals can earn up to $135,000 per year, opening doors to lucrative career opportunities. It positions you for senior roles in testing, validation, and AI governance teams.

The certification empowers you to assess and mitigate potential risks in AI models, including performance, fairness, and ethical concerns.

AI Testing Certification strengthens your understanding of ethical AI, data bias mitigation, and compliance with industry norms.

With the AI Testing Professional Certificate, you’ll gain mastery over modern testing frameworks and automation tools tailored for AI.

AI testing certification enhances your adaptability to work with evolving technologies, from NLP models to computer vision systems.

Completing this AI testing certification demonstrates a long-term commitment to staying at the forefront of AI and software testing innovation.

Exam Syllabus Of AI Testing Professional Certification

15+ Hours of Learning

2 Practice Exams

Capstone Project

AI interview Practice Platform

Exam Syllabus Of Certified AI Testing Professional (CAITP)

Definition of AI and AI Effect
Narrow, General, and Super AI
AI-Based and Conventional Systems
AI Technologies
AI Development Frameworks
Hardware for AI-Based Systems
AI as a Service (AIaaS)
Pre-Trained Models
Standards, Regulations, and AI

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

Forms of ML
ML Workflow
Selecting a Form of ML
Factors Involved in ML Algorithm Selection
Overfitting and Underfitting

Data Preparation as part of the ML Workflow
Training, Validation, and Test Datasets in the ML Workflow
Dataset Quality Issues
Data Quality and its Effect on the ML Model
Data Labelling for Supervised Learning

Confusion Matrix
Additional ML Functional Performance Metrics for Classification, Regression, and Clustering
Limitations of ML Functional Performance Metrics
Selecting ML Functional Performance Metrics
Benchmark Suites for ML

Neural Networks
Coverage Measures for Neural Networks

Specification of AI-Based Systems
Test Levels for AI-Based Systems
Test Data for Testing AI-Based Systems
Testing for Automation Bias in AI-Based Systems
Documenting an ML Model
Testing for Concept Drift
Selecting a Test Approach for an ML System

Challenges Testing Self-Learning Systems
Testing Autonomous AI-Based Systems
Testing for Algorithmic, Sample, and Inappropriate Bias
Challenges Testing Probabilistic and Non-Deterministic AI-Based Systems
Challenges Testing Complex AI-Based Systems
Testing the Transparency, Interpretability, and Explainability of AI-Based Systems
Test Oracles for AI-Based Systems
Test Objectives and Acceptance Criteria

Adversarial Attacks and Data Poisoning
Pairwise Testing
Back-to-Back Testing
A/B Testing
Metamorphic Testing
Experience-Based Testing of AI-Based Systems
Selecting Test Techniques for AI-Based Systems

Test Environments for AI-Based Systems
Virtual Test Environments for Testing AI-Based Systems

AI Technologies for Testing
Using AI to Analyze Reported Defects
Using AI for Test Case Generation
Using AI for the Optimization of Regression Test Suites
Using AI for Defect Prediction
Using AI for Testing User Interfaces

AI Testing Tools and Platforms Overview (e.g., DeepTest, IBM AI Fairness 360)
Techniques for Adversarial Testing and Data Poisoning Simulation
Pairwise, A/B, Back-to-Back, and Metamorphic Testing Methods
Using AI to Analyze Defects, Generate Test Cases, and Predict Failures
Test Environments: Physical, Virtual, and Cloud-Based AI Testing Labs
Sample AI Test Projects and Case Studies from Industry
Preparation for Certifications in AI Quality and Assurance (ISTQB AI Tester, etc.)

Personalized 1-on-1 Mentor Connect Session - Receive a customized training session with ongoing access to relevant topics, ensuring lifelong support

Self-Paced Online

Expert Led Videos - 10 hrs of learning

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3 SME Connect (1-on-1)

Access to GSDC AI Studio

Weekly Group SME Connect Session

Certification Exam + 1 Free Retake & Practice

Capstone Project + AI Interview & Tools

GSDC Membership worth $109 free

Course Price: USD $190.00

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Target Audiences For AI Testing Certification

AI Testing Engineers/Specialists

Software Quality Assurance Professionals

Test Automation Engineers

System Validation Analysts

Software Testers/Test Analysts

Data Testing Professionals

Testing Consultants/Managers

Test Environment Architects

Testing Tool Developers

AI/ML Researchers/Educators

DevOps Professionals

Pre-Requisites For Certified AI Testing Professional

For the GSDC Certified AI Testing Professional (CAITP) certification, having prior work experience or knowledge in AI testing or a related field is highly recommended, although not mandatory.

Exam Details Of Certified AI Testing Professional (CAITP)

Exam Questions

40

Exam Format

Multiple choice

Language

English

Duration

90 min

Passing Score

65%

Open Book

No

Certification Validity

5 Years

Complimentary Retake

Yes

Sample Certification

About AI Testing Certification

The GSDC AI Testing Professional Certification is a globally recognized credential designed to validate professionals in the rapidly growing domain of AI testing. As artificial intelligence continues to reshape industries, AI is projected to displace 2 million jobs but create more than 4 million new roles. Notably, AI testing alone is expected to generate over 3 million jobs by 2024. One in every five companies now integrates AI into decision-making processes, creating a rising demand for Certified AI Testing Professionals.

This AI Testing Certification equips candidates with advanced knowledge and practical skills to handle complex scenarios in testing and validating AI systems. It ensures AI applications meet the highest standards of safety, accuracy, performance, and ethical compliance. Professionals who earn the AI Testing Professional Certificate demonstrate their expertise and readiness to contribute to the responsible deployment of AI.

Certified professionals can earn up to $135,000 annually and unlock new career pathways across sectors. This AI Testing Certification signals to employers that the candidate is deeply invested in mastering modern AI testing methodologies and committed to enhancing company outcomes through rigorous, reliable, and ethical AI testing practices.