Beginner

Exam Overview

Everything you need to know about the CompTIA AI+ certification — format, domains, scoring, cost, and a study plan to pass on your first attempt.

What Is CompTIA AI+?

CompTIA AI+ is a vendor-neutral certification that validates your understanding of artificial intelligence concepts, development, implementation, and ethics. Unlike cloud-specific certifications (AWS, Azure, GCP), CompTIA AI+ is not tied to any platform, making it broadly applicable across the industry.

Exam Details at a Glance

  • Exam code: AIY-001
  • Format: Multiple-choice and performance-based questions
  • Number of questions: Up to 90
  • Duration: 90 minutes
  • Passing score: 700 out of 900
  • Cost: $358 USD
  • Validity: 3 years (renewable via CompTIA Continuing Education)
  • Prerequisites: None required (recommended: 12+ months working with AI technologies)
  • Delivery: Pearson VUE testing centers or online proctored

Exam Domains and Weights

The exam covers four domains. Allocate your study time proportionally to the domain weights.

Domain 1: AI Concepts and Fundamentals (25%)

Core AI and ML concepts, types of learning, neural networks, NLP, computer vision, and generative AI. This is the foundation — if you understand these concepts, the other domains become easier.

Domain 2: AI Development (25%)

The practical side: data preparation, feature engineering, model training, evaluation metrics, and the ML pipeline. You need to understand how AI systems are built, even if you are not building them yourself.

Domain 3: AI Solutions (25%)

Implementation and integration: deploying AI models, integrating with existing systems, monitoring performance, and understanding real-world AI applications across industries.

Domain 4: AI Ethics and Governance (25%)

Responsible AI: bias detection, fairness, transparency, explainability, regulatory compliance (EU AI Act, GDPR), privacy, and organizational governance frameworks.

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Key advantage: All four domains are weighted equally at 25%, so you cannot afford to skip any domain. However, this also means a balanced study approach works well — spend equal time on each domain.

Who Should Take CompTIA AI+?

  • IT professionals transitioning into AI roles
  • Business analysts working with AI-powered tools
  • Project managers overseeing AI initiatives
  • Help desk and support staff supporting AI applications
  • Anyone who wants a vendor-neutral AI credential

CompTIA AI+ vs Other Certifications

  • vs AWS AI Practitioner: AI+ is vendor-neutral; AWS is AWS-specific. AI+ covers broader AI concepts; AWS focuses on AWS services.
  • vs Google Professional ML Engineer: AI+ is entry-level; Google's is advanced and requires hands-on ML engineering experience.
  • vs Microsoft AI Engineer Associate: AI+ is platform-agnostic; Microsoft's requires Azure expertise.

Study Plan

2-Week Plan (Accelerated)

  • Days 1-3: AI Concepts and Fundamentals (Domain 1)
  • Days 4-6: AI Development (Domain 2)
  • Days 7-9: AI Solutions (Domain 3)
  • Days 10-12: AI Ethics and Governance (Domain 4)
  • Days 13-14: Practice exam, review weak areas, best practices

4-Week Plan (Comfortable)

  • Week 1: Domains 1-2 with practice questions after each
  • Week 2: Domains 3-4 with practice questions after each
  • Week 3: Practice exam, review missed questions, re-read weak domains
  • Week 4: Final review, retake practice exam, exam tips, schedule the exam
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Note on cost: At $358, CompTIA AI+ is more expensive than AWS AI Practitioner ($150) but less than some advanced certifications. There is no free retake included, so prepare thoroughly before scheduling. CompTIA offers a bundle with a retake voucher for additional cost.