Certified Testing AI Professional: Ensure AI Systems' Accuracy and Reliability. Master AI Quality Assurance and Enhance Performance with Industry Standards.
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
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.)
Certification Exam with Free Retake & Practice Exams
Capstone Project, AI Interview Platform & AI Tools Use Cases
Cost Savings (X% Off vs Single Purchase)
50%
Upto 80%
GSDC Membership worth $109 free
Download Brochure
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100% No-Risk Money Back Guarantee
At GSDC, quality is our top priority. Our certification programs are designed to foster professional growth and ensure learning satisfaction. If you do not pass the certification exam after two attempts, we offer a 100% money-back guarantee.
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 AI Testing Professional Certification
Exam Questions
40
Exam Format
Multiple choice
Language
English
Duration
90 min
Passing Score
65%
Open Book
No
Certification Validity
Lifetime
Complimentary Retake
Yes
Sample Certificate
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.
Frequently Asked Questions
Choose your preferred package above to begin your certification journey
AI Testing Professional certifies expertise in testing AI applications. Benefits include new job opportunities, higher earnings, industry recognition, and staying up-to-date with AI testing trends.
Excellent job prospects due to increasing demand for AI testing skills across industries. Roles include AI Testing Engineer, QA Professional, Test Automation Engineer, and AI Testing Consultant.
Highly relevant as AI adoption increases. Certification proves expertise in ensuring reliability, safety, and ethics of AI systems, crucial for organizations deploying AI solutions.
Hassle-free lifetime validity allows GSDC certification holders to avoid renewal applications and payments.
Access to skilled AI testing professionals, increased confidence in AI application quality, improved risk management, competitive advantage, and enhanced credibility with customers.
Professionals involved in testing AI systems, like AI Testing Engineers, QA specialists, and Test Automation experts.
Why GSDC ?
The Global Skill Development Council (GSDC) is an independent, vendor-neutral, international credentialing and certification organization for the emerging technologies:
Advisory board members and SMEs are from around the world, drawn from different specializations.
Supported by the world's most esteemed thought leaders from Yale, MIT, Stanford, Wharton, and Harvard.
Hub of Trending Technologies and framework certifications.
Content curated by Industry's best Subject matter experts.
