AWS Certified AI Practitioner (AIF-C01) - AWS Certification
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AWS Certified AI Practitioner (AIF-C01)

The AWS Certified AI Practitioner (AIF-C01) exam is designed for individuals who want to demonstrate a foundational understanding of AI concepts and AWS AI tools. This certification focuses on practical business applications of AI.

Topics

Introduction

The AWS Certified AI Practitioner (AIF-C01) exam is designed for individuals who want to demonstrate a foundational understanding of AI concepts and AWS AI tools. This certification focuses on practical business applications of AI.

The exam also validates a candidate's ability to complete the following tasks:

  • Describe AI, ML, and generative AI (GenAI) concepts, methods, and strategies in general and on AWS.

  • Identify the appropriate use of AI/ML and GenAI technologies to solve business problems.

  • Determine the correct types of AI/ML technologies to apply to specific use cases.

  • Use AI, ML, and GenAI technologies responsibly.

Target candidate description

The target candidate should have up to 6 months of exposure to AI/ML technologies on AWS. The target candidate uses but does not necessarily build AI/ML solutions on AWS.

Recommended AWS knowledge

The target candidate should have the following AWS knowledge:

  • Familiarity with the core AWS services (for example, Amazon EC2, Amazon S3, AWS Lambda, Amazon Bedrock, and Amazon SageMaker AI) and AWS core services use cases

  • Familiarity with the AWS shared responsibility model for security and compliance in the AWS Cloud

  • Familiarity with AWS Identity and Access Management (IAM) for securing and controlling access to AWS resources

  • Familiarity with AWS service pricing models

Job tasks that are out of scope for the target candidate

The following list contains job tasks that the target candidate is not expected to be able to perform. This list is non-exhaustive. These tasks are out of scope for the exam:

  • Developing or coding AI/ML models or algorithms

  • Implementing data engineering or feature engineering techniques

  • Performing hyperparameter tuning or model optimization

  • Building and deploying AI/ML pipelines or infrastructure

  • Conducting mathematical or statistical analysis of AI/ML models

  • Implementing security or compliance protocols for AI/ML systems

  • Developing and implementing governance frameworks and policies for AI/ML solutions

Exam content

Question types

The exam contains one or more of the following question types:

  • Multiple choice: Has one correct response and three incorrect responses (distractors).

  • Multiple response: Has two or more correct responses out of five or more response options. You must select all the correct responses to receive credit for the question.

  • Ordering: Has a list of 3–5 responses to complete a specified task. You must select the correct responses and place the responses in the correct order to receive credit for the question.

  • Matching: Has a list of responses to match with a list of 3–7 prompts. You must match all the pairs correctly to receive credit for the question.

Unanswered questions are scored as incorrect. There is no penalty for guessing. The exam includes 50 questions that affect your score.

Unscored content

The exam includes 15 unscored questions that do not affect your score. AWS collects information about performance on these unscored questions to evaluate them for future use as scored questions. The unscored questions are not identified on the exam.

Exam results

The AWS Certified AI Practitioner (AIF-C01) exam has a pass or fail designation. The exam is scored against a minimum standard established by AWS professionals who follow certification industry best practices and guidelines.

Your results for the exam are reported as a scaled score of 100–1,000. The minimum passing score is 700. Your score shows how you performed on the exam as a whole and whether you passed. Scaled scoring models help equate scores across multiple exam forms that might have slightly different difficulty levels.

Your score report could contain a table of classifications of your performance at each section level. The exam uses a compensatory scoring model, which means that you do not need to achieve a passing score in each section. You need to pass only the overall exam.

Each section of the exam has a specific weighting, so some sections have more questions than other sections have. The table of classifications contains general information that highlights your strengths and weaknesses. Use caution when you interpret section-level feedback.

Content outline

This exam guide includes weightings, content domains, tasks, and skills for the exam. This guide does not provide a comprehensive list of the content on the exam.

The exam has the following content domains and weightings:

Service References

The following sections provide detailed information about AWS services, technologies, and concepts relevant to this certification exam:

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