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AWS · AIF-C01 · Beginner

AWS Certified AI Practitioner

Validates foundational understanding of AI/ML concepts and AWS AI tools, with a focus on practical business applications. 65+ AI-generated practice questions with explanations. Free trial, pass guarantee.

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65 Questions
90min Time Limit
700/ 1000 Pass Score
$100 Exam Fee

Overview

About the exam

The AWS Certified AI Practitioner is AWS's foundational AI credential, validating a broad understanding of artificial intelligence, machine learning, and generative AI concepts on AWS. It covers AI/ML fundamentals, generative AI and foundation model concepts, practical applications of AI services, responsible AI guidelines, and security considerations for AI solutions.

This certification is ideal for business professionals, analysts, and early-career technologists who work with AI solutions but do not necessarily build them. It demonstrates foundational literacy in AI concepts and the ability to identify appropriate AWS AI services for common business use cases.

Exam Domains

What's on the exam

The exam consists of 65 questions (50 scored, 15 unscored) over 120 minutes, featuring multiple-choice, multiple-response, ordering, and matching question types. Questions test conceptual understanding of AI/ML fundamentals, generative AI applications, responsible AI practices, and AWS AI services like Bedrock and SageMaker.

Fundamentals of AI and ML 20%
Fundamentals of Generative AI 24%
Applications of Foundation Models 28%
Guidelines for Responsible AI 14%
Security, Compliance, and Governance for AI Solutions 14%

Format

What to expect

multiple choice
50%
multiple response
25%
ordering
15%
matching
10%

Watch out

Where candidates struggle

While foundational, this exam covers a broad range of AI concepts. Candidates who focus only on AWS services without understanding core AI/ML concepts like model training, bias, and responsible AI struggle with conceptual questions.

  1. 01
    AI vs ML vs GenAI — Confusing the boundaries between traditional AI, machine learning, deep learning, and generative AI leads to wrong answers on foundational concept questions.
  2. 02
    Service Selection — Not knowing when to use Bedrock vs SageMaker vs pre-built AI services like Rekognition, Comprehend, and Textract for different use cases.
  3. 03
    Responsible AI — Underestimating the weight of responsible AI questions covering bias detection, fairness, transparency, and governance of AI systems.
  4. 04
    Foundation Models — Not understanding the differences between foundation models, fine-tuning approaches, prompt engineering, and RAG architectures.
  5. 05
    AI Security — Overlooking questions about data privacy, model access control, and compliance requirements specific to AI/ML workloads on AWS.

Details

Exam logistics

Delivered via Pearson VUE online or at testing centers. Available in English, Japanese, Korean, Portuguese, and Simplified Chinese. The certification is valid for 3 years with renewal through recertification exams.

Delivery Pearson VUE testing center or online proctored exam
Retake policy 14-day waiting period between exam attempts, no limit on total number of attempts
Validity 3 years
Career outcomes AI-aware business roles, AI product managers, technical project managers, and a foundation for pursuing the Machine Learning Engineer or Generative AI Developer certifications
Renewal Pass a recertification exam before the 3-year expiration date, or earn a higher-level AWS certification to automatically renew
Study time ~25 hours
Official guide View on vendor site

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