Exam Details
AWS · AIF-C01
Prepare for AIF-C01: Understand AI, ML, and generative AI concepts on AWS.
Overview
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FAQ
The AIF-C01 certification validates foundational knowledge of artificial intelligence, machine learning, and generative AI on AWS. This practitioner-level exam is designed for business stakeholders, aspiring ML practitioners, and professionals who need to understand AI concepts and AWS AI services without deep technical expertise. You'll understand ML fundamentals, foundation models, responsible AI, and how services like Amazon Bedrock, SageMaker, and Rekognition fit together. As AI becomes embedded in every business function, professionals with solid AI fundamentals are better positioned to evaluate, adopt, and lead AI initiatives.
You're a fit for AIF-C01 if you:
Not sure if you're ready? Try a free sample quiz: 10 questions, instant results, identify weak areas.
| Domain | Weight | What This Means |
|---|---|---|
| Fundamentals of AI and ML | 20–25% | Understand supervised, unsupervised, and reinforcement learning, and how ML models are trained and evaluated |
| Fundamentals of Generative AI | 24–28% | Know how foundation models, transformers, and tokenization work, and what fine-tuning and RAG mean |
| Applications of Foundation Models | 28–32% | Understand how to select, deploy, and use models via Amazon Bedrock and other AWS AI services |
| Guidelines for Responsible AI | 14–18% | Apply bias detection, fairness, transparency, and privacy principles to AI solutions |
You're probably ready if you can:
You might need more prep if:
If this feels too advanced:
If you know the basics but want to build confidence:
The AWS Certified AI Practitioner exam typically consists of 65 questions, which may include both multiple-choice and multiple-response formats. You are allocated 120 minutes to complete the appointment, providing ample time to review scenario-based questions carefully.
The exam is scored on a scale of 100 to 1000, with a minimum passing score of 700. This scaled scoring system ensures that the difficulty level is consistent across different versions of the exam. ExamOS offers scenario-based practice quizzes that build real exam confidence by helping you identify areas where your score might be lagging.
The exam content is divided into five distinct domains that test both conceptual and practical knowledge:
Candidates should utilize a mix of official and third-party tools to ensure a well-rounded understanding:
The registration fee for the AWS Certified AI Practitioner exam is $100 USD. Please note that taxes may apply depending on your location and local regulations. If you have a voucher from a previous AWS certification pass, you may be eligible for a 50% discount.
If you are unsuccessful in passing the exam, you must wait 14 business days before you are eligible to retake it. There is no limit on the number of attempts you can make, but you must pay the full registration fee for every attempt.
The AWS Certified AI Practitioner certification is valid for three years from the date of passing. To maintain your certified status, you must meet the recertification requirements before the expiration date, which typically involves passing the latest version of the same exam or earning a higher-level AWS certification.
There are no formal prerequisites or mandatory certifications required before taking this exam. It is specifically designed for:
This is a foundational certification and will not, by itself, qualify you for a role as an AI Engineer or Data Scientist. Instead, it serves as a "literacy" validator. It is highly valuable for Product Managers, Business Analysts, and Operations Leads who need to communicate effectively with technical teams or make informed decisions about implementing AI solutions within an organization. It signals to employers that you understand the limitations, costs, and risks associated with AI.
Once you have mastered the fundamentals, you can progress toward more technical or specialized certifications. The most logical next steps include: