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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What Sets Our Program Apart?

  •    E-Learning Library Access
  •    Expertly crafted BOK with ready-to-implement resources
  •    Certificate valid for 5 years with 2 Exam Attempts
  •    Capstone Projects
  •    Generative AI Interview Practice Platform
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About AI Testing Certification

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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

  • 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.)

Meet our Advisor

Nadeem Augustine
Nadeem Augustine

Head of DevOps/Release Management

Daniel oh
Daniel oh

Principle technical marketing manager

Kailashpathi C Gujari
Kailashpathi C Gujari

Senior could Solution architect

Enrollment Options

Resources Provided by GSDC

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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 AI Testing Professional Certification

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 Certificate

Certified AI Testing Professional (CAITP)

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.

The GSDC Certified AI Testing Professional valid for 5 years.

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.

Program Overview & Eligibility for AI Testing Certification

The AI Testing Professional Certification is a professional qualification designed to equip testers with the skills needed to test AI systems effectively. This program covers all aspects of AI testing, including data validation, model evaluation, performance testing, and AI-driven automation. Upon completion, you'll be a certified AI tester, ready to apply your expertise in AI-based software testing.

This certification is ideal for professionals working in software testing, quality assurance, AI development, and machine learning who want to enhance their skills in AI systems testing. Whether you are a quality assurance engineer, tester, or software developer, the certification in AI testing will help you build the skills needed to test AI-based applications effectively.

The Certified AI Tester certification stands out due to its focus on real-world applications of AI testing. Unlike generic testing certifications, this program dives deep into the complexities of testing machine learning models, deep learning algorithms, and AI-driven software, making it one of the best AI testing certifications available.

Yes! The AI Testing Professional Certification online allows you to complete the entire certification at your own pace. The program is fully online, with e-learning modules, practical projects, and an online exam, enabling you to get certified from anywhere in the world.

While prior experience in testing is helpful, no extensive AI background is required to enroll in the certified tester in artificial intelligence program. The certification starts with foundational AI testing concepts and progressively builds your knowledge, making it accessible for both beginners and experienced professionals.

Earning the Certified AI Tester credential helps you gain specialized skills in AI testing, making you more marketable in the AI and technology fields. Professionals with this certification are in high demand, as businesses increasingly rely on AI-driven applications. This certification also enhances your ability to test AI models for accuracy, reliability, and performance.

The AI testing certification exam consists of 40 multiple-choice questions, and you must score at least 65% to pass and earn the certified AI tester title. The exam focuses on practical knowledge of AI testing techniques, tools, and best practices.

The AI testing certification is self-paced, allowing you to complete it based on your schedule and availability. On average, it can take anywhere from a few weeks to a few months to complete, depending on your prior knowledge and learning pace.

You can easily enroll in the AI Testing Professional Certificate online by visiting the GSDC website. After enrollment, you'll gain immediate access to all certification materials, including e-learning modules, study resources, and practice exams, helping you prepare for the certification exam.

The AI testing certification includes a range of resources to ensure your success, such as e-learning modules, real-world case studies, mock exams, downloadable guides, and hands-on practice with AI testing tools and techniques. These resources are designed to ensure you gain practical experience and are well-prepared for the certification exam.

Learning Experience & Resources for AI Testing Certification

In the AI Testing Certification program, you will learn how to evaluate AI models and algorithms, ensuring they meet performance, accuracy, and reliability standards. You’ll explore various AI testing methodologies, including functional testing, regression testing, and performance testing, specifically designed for AI-powered applications. This knowledge will equip you to be a certified AI tester capable of working with cutting-edge technologies.

Yes! The AI testing certification program includes practical, hands-on exercises that allow you to work with AI-based applications and test them in real-world scenarios. You’ll gain experience in testing machine learning models, deep learning frameworks, and natural language processing algorithms, ensuring you’re ready to apply your skills on the job.

No additional software installations are required. The AI testing certification online is fully browser-based, and all testing tools and environments are provided through the cloud. You can access everything you need for hands-on practice and learning directly from your browser.

Yes! You will have access to ongoing support throughout your learning journey. The AI testing certification includes mentor support, technical assistance, and guidance on assignments to ensure you fully understand the concepts and are prepared for the certification exam.

Absolutely! The AI testing certification is designed to be flexible, allowing you to complete the certification on your schedule. Whether you’re a full-time professional or a student, you can learn at your own pace and progress through the modules at your convenience.

Yes! As part of the AI testing certification program, you will have access to practice exams and mock tests. These practice materials are designed to help you familiarize yourself with the format and type of questions you’ll encounter on the certification exam, ensuring you’re well-prepared for success.

Unlike generic software testing certifications, the Certified AI Tester program focuses specifically on the complexities of AI-driven applications. This certification equips you with specialized skills for testing machine learning models, deep learning frameworks, and AI systems, making it the perfect choice for professionals who want to specialize in the emerging field of AI testing.

Yes! Upon successful completion of the AI testing certification, you will receive a digital badge and certificate that you can display on your resume, LinkedIn profile, and other professional platforms. This AI testing certificate will show employers that you have the skills and knowledge to work effectively with AI-powered technologies.

The AI testing certification is divided into clear, modular lessons that build on each other. You will start with foundational concepts and progress to more advanced testing techniques, covering key topics like testing AI models, understanding AI biases, and ensuring AI systems are fully optimized.

Absolutely! Our dedicated support team is available to assist you throughout the AI testing certification program. Whether you need help with certification content, exam preparation, or technical difficulties, you’ll receive the assistance you need to ensure your success in earning your certified AI tester credential.

Career Benefits of AI Testing Certification

Earning the AI Testing Professional Certificate can significantly enhance your career prospects. As businesses continue to integrate AI technologies, the demand for skilled professionals to test and validate these systems is growing. By becoming a certified AI tester, you position yourself as an expert capable of handling the complexities of AI-driven software and applications, leading to better job opportunities and career advancement.

After earning the AI testing certification, you can explore roles such as AI Testing Specialist, QA Engineer for AI Systems, AI Quality Assurance Analyst, and Machine Learning Tester. This certified AI tester credential opens doors to careers in AI and machine learning, especially as organizations look for professionals skilled in testing AI-powered applications.

The AI testing certification can increase your earning potential significantly. Entry-level salaries for certified AI testers typically range from $70,000 to $90,000 annually. As you gain more experience and move into senior roles, salaries can rise to $120,000 or more, depending on your experience and location.

Yes! The certified AI tester credential demonstrates your expertise in AI systems testing, which is highly valued by employers. Many professionals report receiving promotions or being assigned to more strategic and higher-paying roles within their organizations after earning the AI testing certification.

Employers highly value the AI testing certification, especially in industries that are rapidly adopting AI technologies, such as tech, finance, healthcare, and e-commerce. This certification proves that you have the technical expertise to handle complex AI systems, making you a valuable asset to any organization looking to integrate AI into their workflows.

The AI testing certification is an excellent gateway for professionals looking to transition into AI roles from other areas such as software testing, development, or IT. By earning the certified AI tester credential, you demonstrate your readiness to work with AI technologies and make the transition into AI-specific job functions.

Yes, the AI testing certification is recognized globally and prepares you for roles in any market. AI is an expanding field worldwide, and businesses are looking for qualified AI testers to ensure their AI models and systems are functioning as intended. Earning this certification will enhance your ability to work with AI companies anywhere in the world.

Absolutely! The AI Testing Professional Certification sharpens your technical skills by teaching you how to identify and address issues in AI systems. It enhances your problem-solving abilities, particularly in areas like AI model validation, data analysis, and ensuring that AI systems meet performance standards. These skills are essential for anyone working with AI-driven technologies.

The AI testing certification not only expands your technical skill set but also enhances your leadership and project management abilities in AI-related projects. By becoming a certified AI tester, you’ll have the expertise needed to lead AI testing initiatives, making you a key player in your organization’s AI journey.

Yes! Many professionals combine their AI testing certification with other certifications, such as machine learning, data science, or DevOps to broaden their expertise. This combination of skills can help you take on more complex roles and make you even more valuable in the job market.

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.

  • Webinars and Conferences.

  • Training Partners Across The Globe.

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