AWS Certified AI Practitioner (AIF-C01) Practice Tests

Use this AWS AI Practitioner practice exam to build confidence with the concepts tested on AIF-C01: artificial intelligence, machine learning, generative AI, responsible AI, model selection, and the AWS services that support AI workloads. The questions are written to help you recognize how AI is applied in real business scenarios, not just memorize service names.

Start with the free preview, then work through the full question bank in short review sessions. Pay close attention to explanations after each attempt; they connect the answer choice back to AWS terminology, common use cases, and the practical tradeoffs that appear in foundational AI certification questions.

The AWS Certified AI Practitioner (AIF-C01) is a foundational-level certification that validates a candidate's understanding of artificial intelligence, machine learning, and generative AI concepts as they apply to AWS services and practical business scenarios. It is designed for professionals who use—rather than build—AI/ML solutions, covering the full landscape from core ML terminology and learning paradigms to the application of large language models (LLMs), foundation models, and responsible AI principles.

The certification demonstrates proficiency across five content domains: the fundamentals of AI and ML, the fundamentals of generative AI, the practical application of foundation models, responsible AI guidelines, and security and governance for AI solutions on AWS. Candidates are expected to be familiar with key AWS services including Amazon SageMaker AI, Amazon Bedrock, Amazon Comprehend, Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Translate, and AWS Identity and Access Management, among others. The exam was introduced as part of AWS's expanding foundational certification track and is valid for three years from the date of passing.

This certification is ideal for non-technical and semi-technical professionals who work alongside AI/ML teams and need a verified understanding of AI concepts, AWS AI tooling, and responsible AI practices. Target roles include business analysts, product and project managers, marketing professionals, IT support staff, line-of-business managers, and sales professionals. It is also well-suited for IT generalists and AWS practitioners looking to formally document their AI fluency without needing a software development or data science background.

The ideal candidate has up to six months of exposure to AI/ML technologies on AWS and is comfortable using—but not necessarily implementing—AI solutions. Those with an existing AWS Cloud Practitioner or Associate-level certification can move directly into AI-focused preparatory content for this exam.

There are no formal prerequisites for the AIF-C01 exam, as it is a foundational-level certification. However, AWS recommends that candidates new to the AWS ecosystem first complete foundational training such as AWS Cloud Practitioner Essentials or AWS Technical Essentials before attempting this exam.

Candidates are expected to have general familiarity with core AWS concepts including the shared responsibility model, AWS IAM, and AWS service pricing models. Practical knowledge of services like Amazon EC2, Amazon S3, AWS Lambda, Amazon Bedrock, and Amazon SageMaker AI is recommended. No programming, mathematical modeling, or data engineering experience is required, as the exam explicitly excludes tasks such as coding AI/ML models, performing hyperparameter tuning, or implementing security and governance frameworks from scratch.

The AIF-C01 exam consists of 65 total questions to be completed within 90 minutes, of which 50 are scored and 15 are unscored pretest questions embedded throughout the exam without identification. The exam costs $100 USD and is delivered either at a Pearson VUE testing center or via online proctoring. It is available in 12 languages including English, Arabic, French, German, Italian, Japanese, Korean, Portuguese (Brazil), Spanish, and Simplified and Traditional Chinese.

Question types include multiple choice (one correct answer from four options), multiple response (two or more correct answers from five or more options, requiring all correct selections for credit), ordering (arranging three to five steps in the correct sequence), and matching (pairing responses to three to seven prompts). The exam uses a compensatory scoring model—no section needs to be passed independently. Scores are reported on a scaled range of 100–1,000, with a minimum passing score of 700. There is no penalty for guessing.

Holding the AWS Certified AI Practitioner certification signals to employers that a professional can meaningfully engage in AI strategy, vendor conversations, and cross-functional AI projects—even without an engineering background. AWS-commissioned research found that employers are willing to pay 41–47% more to hire workers with AI skills depending on the function, with IT professionals commanding the highest premiums. This certification serves as evidence of that skill set in a verifiable, vendor-recognized format.

The AIF-C01 is particularly valuable for professionals transitioning toward AI-adjacent roles or seeking to add AI credibility to existing business or IT careers. It complements AWS Cloud Practitioner and can serve as a stepping stone toward more technical certifications such as AWS Certified Machine Learning Engineer – Associate. Earning the ML Engineer – Associate certification will also automatically recertify the AI Practitioner, making it a logical progression path for those looking to deepen their AWS AI expertise over time.