Last Updated: May 20, 2026
The AWS Certified AI Practitioner (AIF-C01) is a foundational AWS certification focused on AI, machine learning (ML), generative AI, and AWS AI services such as Amazon Bedrock and SageMaker.
The exam is designed for early-career cloud practitioners and professionals with limited experience in AI and AWS AI services. While the certification is beginner-friendly, proper preparation is still essential to pass.
On this page, you'll get a walkthrough of the exam, including:
| Exam Detail | Information |
|---|---|
| Exam Name | AWS Certified AI Practitioner |
| Exam Code | AIF-C01 |
| Exam Level | Foundational |
| Exam Cost | $100 USD |
| Number of Questions | 65 Questions (50 Scored, 15 Unscored) |
| Time Limit | 90 Minutes |
| Passing Score | 700 / 1000 |
| Question Types | Multiple Choice, Multiple Response, Ordering & Matching Questions |
| Recommended Experience | Around 6 months of AWS AI/ML exposure |
| Main Topics | AI Fundamentals, Generative AI, AWS AI Services, Business Use Cases, Responsible AI |
| Key AWS AI Services | Amazon Bedrock, SageMaker, Rekognition, Lex, Comprehend & Amazon Q |
| Coding Required? | No |
| Certification Validity | 3 Years |
The AWS Certified AI Practitioner (AIF-C01) is a foundational AWS certification that validates your understanding of AI, machine learning (ML), generative AI concepts, and AWS AI services. The exam focuses on practical AI knowledge rather than advanced machine learning engineering or coding skills.
The certification is designed for non-technical business professionals, early-career cloud practitioners, and professionals who want to better understand AI solutions on AWS. It is especially useful for candidates working, or wanting to work with AI projects, cloud technologies, or generative AI initiatives.
Yes. The AWS Certified AI Practitioner is considered beginner-friendly because it focuses on foundational AI concepts and AWS AI services rather than advanced programming or mathematics. However, proper preparation is still important because the exam covers many AWS-specific services and generative AI concepts.
The AWS AI Practitioner exam is moderately difficult for candidates who are new to AI or AWS. Most candidates find the exam manageable after studying the core AI concepts, AWS AI services, generative AI terminology and practicing with full-length exam simulations.
The passing score for the AWS Certified AI Practitioner (AIF-C01) exam is 700 on a scaled score ranging from 100 to 1,000.
After the exam, AWS provides a score report with section-level performance feedback to help you understand your strengths and weaker areas. You do not need to pass every individual section to pass the certification overall.
If you do not pass the AWS Certified AI Practitioner (AIF-C01) exam, you can retake it after a mandatory 14-day waiting period. AWS does not limit the number of retake attempts, but you must pay the full exam fee each time you take the test again.
As such, practicing for exam is highly recommended.
The AWS Certified AI Practitioner exam costs $100 USD. Additional taxes or testing-center fees may apply depending on your location and testing method.
The AWS Certified AI Practitioner exam contains 65 questions. These include multiple-choice and multiple-response questions covering AI fundamentals, generative AI, AWS AI services, security, and responsible AI concepts.
Candidates have 90 minutes to complete the AWS Certified AI Practitioner exam. This gives most test-takers enough time to carefully review and answer all questions.
Yes. The exam includes both multiple-choice and multiple-response questions. Some questions require selecting one correct answer, while others require selecting multiple correct responses.
No. Coding experience is not required for the AWS Certified AI Practitioner exam. The certification focuses on understanding AI concepts, generative AI use cases, and AWS AI services rather than building or programming machine learning models.
The most important AWS AI services for the AWS Certified AI Practitioner exam include Amazon Bedrock, Amazon SageMaker, Amazon Rekognition, Amazon Comprehend, Amazon Lex, Amazon Translate, Amazon Transcribe, and Amazon Q.
The exam covers both AI concepts and AWS services. Candidates are expected to understand foundational AI and generative AI concepts while also recognizing which AWS services are appropriate for different AI use cases and business scenarios.
Most candidates spend between 2 and 6 weeks preparing for the AWS AI Practitioner exam, depending on their previous experience with AWS and AI concepts. Candidates with cloud experience typically require less preparation time.
Yes, especially for professionals looking to strengthen their understanding of AI and cloud technologies. The certification can improve credibility, support career growth, and help candidates demonstrate familiarity with generative AI and AWS AI services.
The certification can strengthen your resume and demonstrate foundational AI knowledge to employers. While it is not typically enough on its own to secure an AI engineering role, it can help candidates qualify for cloud, technical support, sales, consulting, or AI-related business positions.
The certification is most relevant for roles such as cloud practitioner, technical sales specialist, business analyst, AI project coordinator, solutions consultant, and entry-level cloud or AI support positions.
AWS Cloud Practitioner focuses on general AWS cloud concepts, pricing, security, and infrastructure fundamentals. AWS AI Practitioner focuses specifically on AI, machine learning, generative AI concepts, and AWS AI services such as Amazon Bedrock and SageMaker.
Yes. The AWS Certified AI Practitioner certification is valid for 3 years from the date you pass the exam. After that period, candidates must recertify to maintain an active certification status.

David Meshulam is the founder of JobTestPrep and is specialized in assessment and certification exam preparation, including AWS.
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