AWS Certified AI Practitioner AIF-C01 — Practice Tests
AWS Certified AI Practitioner AIF-C01 — Practice Questions
AWS Certified AI Practitioner AIF-C01 — Flashcards
Acronyms, terms, and other helpful info in matching mode, flashcard mode and more.
This deck covers the foundational concepts, purposes, and key features of AWS AI services such as Amazon Rekognition, Comprehend, Textract, Polly, and SageMaker.
This deck covers introductory topics in machine learning, including supervised and unsupervised learning, key algorithms, and their applications in solving real-world problems.
This deck details common industry use cases for AWS AI services, including their applications in healthcare, finance, retail, and more.
This deck focuses on the steps involved in preparing and processing data for machine learning models, including data cleaning, labeling, and transformation techniques.
This deck covers key considerations for security, compliance, and best practices when using AWS AI services to ensure data protection and regulatory adherence.
AWS Certified AI Practitioner AIF-C01 Overview
The AWS Certified AI Practitioner (AIF-C01) certification verifies that you have a strong foundational understanding of artificial intelligence, machine learning, and generative AI, along with exposure to how these are implemented via AWS services. It’s aimed at those who may not be developers or ML engineers but who need to understand and contribute to AI/ML-related decisions and initiatives in their organizations. The exam tests your knowledge of AI/ML concepts, use cases, and how AWS’s AI/ML services map to various business problems.
Topics include basics of supervised/unsupervised learning, generative AI fundamentals, prompt engineering, evaluation metrics, responsible AI practices, and how AWS tools like Amazon SageMaker, Amazon Bedrock, Amazon Comprehend, Amazon Rekognition, and others support AI workflows. Questions are scenario-based and focused on choosing the right service or strategy, rather than hands-on coding or architecture design. After passing, you’ll be able to identify the proper AI/ML tool for a given business challenge, articulate trade-offs, and guide responsible deployment of AI solutions within AWS environments.
Having this certification shows stakeholders that you have a solid conceptual grasp of AI and AWS’s AI/ML ecosystem. It’s well suited for technical leads, solution architects, product managers, or anyone who interacts with AI/ML teams and wants credibility in AI strategy discussions. It also helps bridge the gap between technical teams and business stakeholders around what AI/ML can — and cannot — do in real scenarios.
AWS Certified AI Practitioner AIF-C01 Exam Details
| Supported Languages |
|---|
| The exam is available in English, Japanese, Korean, and Simplified Chinese. |
| Recommended Experience |
Candidates are recommended to have up to six months of exposure to AI/ML technologies on AWS and familiarity with core AWS services such as EC2, S3, Lambda, IAM, and the AWS shared responsibility model. |
| Questions |
| The exam consists of 65 questions (including unscored or pilot items). |
| Passing Score |
| Scores are scaled between 100 and 1,000, and the minimum passing score is 700. |
| Exam Duration |
| You have 90 minutes to complete the exam. |