About The Exam

Exam Coverage

ARTiBA certification exams are designed to evaluate candidates’ applied knowledge and decision-making proficiency in artificial intelligence, across different levels of technical and strategic expertise. Each exam draws from the AMDEX™ knowledge standards and assesses a candidate’s grasp of AI principles, tools, frameworks, and professional competencies aligned with their certification track.

While the specific content areas vary by program, all ARTiBA exams share a unified emphasis on current and emerging AI knowledge relevant to industry demands and ethical practice.

Key areas examined include:

  • AI and machine learning concepts, models, and system behavior
  • Practical use of AI tools, algorithms, and deployment techniques
  • Decision frameworks for AI governance, compliance, and strategic value
  • Application of AI in real-world business, technical, and industry contexts

The depth and scope of each exam reflect the professional responsibilities associated with each certification.

AiE® Certification Exam Coverage

The AiE® certification evaluates applied knowledge across key areas of artificial intelligence and machine learning. The exam measures foundational readiness for AI solution development, implementation, and system understanding.

Topic Description Weight Why It’s Necessary
AI & ML Fundamentals Foundational concepts in artificial intelligence and machine learning, including supervised/unsupervised learning, ensemble methods, and the AI ecosystem. 27% Establishes conceptual grounding for intelligent systems design and model reasoning. Enables engineers to select appropriate approaches and tools.
AI Programming & Algorithms Logic programming, recommender systems, heuristic methods, genetic algorithms, and game AI development. 21% Builds algorithmic fluency required to solve real-world problems and prototype functional AI systems.
Natural Language Processing (NLP) NLP foundations, probabilistic modeling, speech recognition, and object detection techniques. 26% Trains professionals to develop language-aware systems and multimodal AI applications.
Neural Networks & Deep Learning Neural network principles, reinforcement learning, and deep learning applications. 26% Enables scalable AI solutions in computer vision, personalization, and high-performance inference environments.

CAiEP® Certification Exam Coverage

The CAiEP® exam assesses advanced technical expertise required to build, scale, and maintain enterprise-grade AI systems. Candidates are tested on full-stack AI engineering capabilities—from data processing to MLOps.

Topic Description Weight Why It’s Necessary
AI & Data Science Fundamentals Core AI concepts, basic math/stats, ML types, project lifecycle, and Python basics. 5% Lays the groundwork for deeper AI engineering; essential for debugging, optimization, and understanding underlying mechanics.
Data Collection & Preparation Data acquisition, preprocessing, feature engineering, and data quality assurance. 5% Prepares candidates to manage data pipelines and ensure input readiness for accurate modeling.
Machine Learning Algorithms Core supervised and unsupervised algorithms, model evaluation, and metrics. 10% Ensures candidates can select, evaluate, and justify models suited for various business and technical needs.
Deep Learning Techniques Neural networks, CNNs, RNNs, transformer models, training and optimization. 20% Provides capabilities for solving complex pattern-recognition problems at scale, including vision and language tasks.
Generative AI & NLP Text generation, prompt engineering, chatbots, translation, and fine-tuning. 15% Enables creation of advanced user-facing AI features and integrations with generative models.
Model Deployment & MLOps Production deployment, APIs, CI/CD, model monitoring, containerization, scaling. 20% Addresses the industry-wide challenge of operationalizing ML projects, ensuring real-world impact and scalability.
Optimization & Performance Tuning Hyperparameter tuning, performance profiling, model compression, hardware optimization. 10% Ensures model efficiency, allowing engineers to meet latency, cost, and resource constraints.
AI Ethics & Responsible AI Bias mitigation, interpretability, privacy, adversarial robustness, and audit practices. 15% Instills responsible engineering practices to create transparent, fair, and secure AI systems.

CAiBP® Certification Exam Coverage

The CAiBP® exam tests the ability to lead, manage, and integrate AI into business strategy, operations, and transformation. It is designed for professionals navigating AI from a governance, value-realization, and impact perspective.

Topic Description Weight Why It’s Necessary
AI Fundamentals & Data Literacy Core AI terminology and basic data literacy for interpreting outputs and collaborating with technical teams. 5% Establishes a shared foundation between business leaders and AI teams to ensure informed decision-making.
AI Applications & Use Cases Practical industry use cases and no-code tools for evaluating AI opportunities. 5% Enables professionals to identify AI potential across business functions and sectors.
AI Strategy & Planning Strategic planning, roadmaps, and resource alignment for enterprise AI initiatives. 20% Supports high-impact, goal-aligned AI investments and long-term value creation.
AI Project Management & Implementation Project execution, stakeholder coordination, and implementation oversight. 10% Ensures AI projects are delivered efficiently and meet business expectations.
Ethical AI & Governance Regulatory compliance, transparency, and responsible AI policy design. 15% Builds trust and risk mitigation into AI practices, preserving brand and legal standing.
AI-Driven Transformation & Change Management Change leadership and enterprise-wide adoption frameworks. 15% Helps drive organizational readiness and workforce upskilling for sustainable AI adoption.
Generative AI & Emerging Trends Business relevance of generative AI, AutoML, and cutting-edge developments. 10% Equips leaders to understand innovation cycles and competitive disruption.
AI ROI & Performance Evaluation Measuring performance, defining KPIs, and tracking ROI. 20% Ensures AI programs deliver measurable outcomes and inform future investment.

Exam Structure

The ARTiBA certification exams consists of 60 multiple-choice questions, each with a single correct answer. Examinees can navigate freely between questions — skipping, reviewing, or revising their responses before final submission.

All ARTiBA certification exams are designed for flexibility, security, and candidate convenience, while upholding the highest standards of integrity and rigor.

Component Details
Duration of the Exam 90 minutes
Exam Venue Online – remotely proctored via ExamStrong
Mode of Delivery Online
Total Questions 60
Question Format Multiple-choice, single-answer

Additional Notes:

  • The exam is delivered through a secure, real-time proctoring system verified by ExamStrong.
  • Candidates must ensure their system and environment are ExamStrong-verified prior to launching the exam.
  • ARTiBA's exam platform is optimized to prevent lag, discourage misconduct, and enable a smooth candidate experience.

Exam Administration Platform

All ARTiBA certification exams are delivered through ExamStrong, a globally trusted platform for high-stakes online proctored assessments. ExamStrong combines adaptive technologies, secure proctoring protocols, and a candidate-friendly interface to ensure a seamless testing experience from anywhere in the world.

Exams can be taken in a comfortable, distraction-free environment — such as a home or office — after successfully completing system and environment verification through ExamStrong.

The platform incorporates rigorous international standards in testing integrity, identity verification, and data security. Its design and operations are aligned with globally recognized certification and credentialing protocols.

For details on verifying your system, webcam, and internet connection, refer to the Online Proctoring Exam Guidelines section.

Exam Scheduling, Rescheduling & Cancellation

Scheduling Your Exam

Candidates have up to 180 days from the date of payment to schedule and take their certification exam. Once ready, candidates can select their preferred exam date and time through their myARTiBA dashboard.

Exams are available year-round and can be scheduled based on the candidate’s time zone and readiness.

Rescheduling Your Exam

  • No-cost Rescheduling: Candidates may reschedule their exam at no additional cost if the request is submitted at least 72 hours in advance of the originally scheduled exam time.
  • Late Rescheduling Fee: Requests made within 72 hours of the scheduled exam will incur a USD 50 rescheduling fee.

All rescheduling must be done through the myARTiBA dashboard.

Cancelling Your Exam

If you cancel your scheduled exam at any time, you will need to pay USD 50 to extend your 180-day eligibility period, allowing you to reschedule your exam at a later date within the extended window.

Cancellations made within 72 hours of the scheduled time are not eligible for extension and will result in your eligibility window expiring—unless special permission is granted.

If you’re unable to appear for the exam due to a verified emergency, please contact ARTiBA Support for assistance.

Note: Your exam scheduling deadline and window expiry dates are visible on your myARTiBA dashboard. Candidates must adhere strictly to these timelines.

Exam Development

ARTiBA certification exams are designed to rigorously evaluate the knowledge and competencies required of contemporary AI professionals. The development process is structured to meet the highest standards of professional certification and to ensure every candidate is assessed fairly, consistently, and in alignment with real-world expectations.

To uphold global quality and integrity, ARTiBA draws upon the expertise of test development professionals, exam technologists, credentialing security specialists, and practicing AI professionals. The exam content is developed through a multi-layered process that includes global practitioner surveys, structured interviews with industry leaders, role-specific task analyses, and collaborative input from academic experts and subject matter authorities.

This methodology ensures that all ARTiBA certification exams are psychometrically valid, job-role aligned, and continuously updated to reflect evolving trends in AI practice. Each exam is mapped to the AMDEX™ framework and evaluated to maintain relevance, reliability, and measurable performance outcomes for every candidate.

Exam Testing and Scoring

To successfully pass an ARTiBA certification exam, candidates must achieve a minimum score of 65%. Final outcomes are determined using advanced statistical methods that factor in question difficulty levels and scoring reliability to ensure a fair and consistent evaluation.

Candidates will see a preliminary result (pass or fail) immediately upon submitting the exam. The official score is published on the candidate’s myARTiBA dashboard within 10–12 business days of exam completion.

Within 3–4 business days of passing, candidates will receive an email containing their Unique Credential Code and access to their official digital CredBadge for professional sharing. The physical ARTiBA credential kit is shipped globally and typically arrives within 3–4 weeks of result confirmation.

Please note that official results and credentialing details are not shared over phone, SMS, or email. All candidates must access their outcomes and certification information exclusively through their myARTiBA dashboard.

Before You Schedule Your Exam

We strongly recommend that all candidates thoroughly review the exam policies, guidelines, and technical requirements before scheduling their certification exam.

To avoid any last-minute issues, please ensure you take the mock exam to verify that your system, internet connection, and exam environment meet the necessary conditions.

If you experience any technical issues at the time of your exam, please contact ARTiBA Support immediately. Our team is available to assist you in real time during your scheduled exam session. However, please note that issues reported after the exam time has passed cannot be retroactively addressed or accommodated.

Being prepared is essential. Check your system, understand the process, and reach out to us if you need support.

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