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The document defines target audience requirements, recommended AWS foundations (core services, shared responsibility, IAM, infrastructure concepts, and pricing), and explicitly lists out-of-scope engineering, model development, and security/compliance implementation tasks. It details question formats, includes unscored questions and scoring methodology, and outlines content domains with weightings across fundamentals, generative AI, foundation model applications, responsible AI, and security, compliance, and governance.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":20,"@type":76,"position":81},"https://docshare.wps.com/document/exam/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/aws-certified-ai-practitioner-exam-guide-exam-guide/315273/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/aws-certified-ai-practitioner-exam-guide-exam-guide/315273.png","ImageObject",300,407,{"name":92,"@type":93},"Dipper","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-09-20",true,{"@type":102,"interactionType":103,"userInteractionCount":56},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Who is the target candidate for the AWS Certified AI Practitioner (AIF-C01) exam?","Question",{"text":112,"@type":113},"Candidates with up to 6 months of exposure to AI/ML technologies on AWS who use, but do not necessarily build, AI/ML solutions on AWS are targeted.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What topics are recommended for AWS knowledge before taking AIF-C01?",{"text":117,"@type":113},"The guide recommends familiarity with core AWS services and use cases, the shared responsibility model, IAM, global infrastructure concepts (Regions, Availability Zones, edge locations), and AWS service pricing models.",{"name":119,"@type":110,"acceptedAnswer":120},"What is out of scope for this exam?",{"text":121,"@type":113},"Out-of-scope items include developing/coding AI/ML models or algorithms, implementing data or feature engineering, hyperparameter tuning and optimization, building/deploying AI/ML pipelines or infrastructure, conducting mathematical/statistical analysis, implementing security/compliance protocols, and developing governance frameworks and policies.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},315273,1790229342,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":19,"category_name":20,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":56,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":56,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144,"preview_page_count":4},1374404997633,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","Introduction  \nThe AWS Certified AI Practitioner (AIF-C01) exam is intended for individuals who can effectively demonstrate overall knowledge of AI/ML, generative AI technologies, and associated AWS services and tools, independent of a specific job role.  \nThe exam also validates a candidate’s ability to complete the following tasks:  \n• Understand AI, ML, and generative AI concepts, methods, and strategies in general and on AWS.  \n• Understand the appropriate use of AI/ML and generative AI technologies to ask relevant questions within the candidate’s organization.  \n• Determine the correct types of AI/ML technologies to apply to specific use cases.  \n• Use AI, ML, and generative AI technologies responsibly.  \nTarget candidate description  \nThe 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.  \nRecommended AWS knowledge  \nThe target candidate should have the following AWS knowledge:  \n• Familiarity with the core AWS services (for example, Amazon EC2, Amazon S3, AWS Lambda, and Amazon SageMaker) and AWS core services use cases  \n• Familiarity with the AWS shared responsibility model for security and compliance in the AWS Cloud  \n• Familiarity with AWS Identity and Access Management (IAM) for securing and controlling access to AWS resources  \n• Familiarity with the AWS global infrastructure, including the concepts of AWS Regions, Availability Zones, and edge locations  \n• Familiarity with AWS service pricing models  \nThe 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:  \n• Developing or coding AI/ML models or algorithms  \n• Implementing data engineering or feature engineering techniques  \n• Performing hyperparameter tuning or model optimization  \n• Building and deploying AI/ML pipelines or infrastructure  \n• Conducting mathematical or statistical analysis of AI/ML models  \n• Implementing security or compliance protocols for AI/ML systems  \n• Developing and implementing governance frameworks and policies for AI/ML solutions  \nRefer to the Appendix for a list of in-scope AWS services and features and a list of out-of-scope AWS services and features.  \nExam content  \nQuestion types  \nThe exam contains one or more of the following question types:  \n• Multiple choice: Has one correct response and three incorrect responses (distractors) .  \n• 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.  \n• 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.  \n• 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.  \n• Case study: Has one scenario with two or more questions about the scenario. The scenario is the same for each question in the case study. Each question in the case study will be evaluated separately. You will receive credit for each question that you answer correctly in the case study.  \nUnscored content  \nThe exam includes 15 unscored questions that do not affect your score. AWS collects information about performance on these unscored questions to evaluate these questions for future use as scored questions. These unscored questions are not identified on the exam.  \nExam results  \nThe 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.  \nYour 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","cbCaikNmSuBOZdgg","https://ap.wps.com/l/cbCaikNmSuBOZdgg","pdf",423986,"English","# Introduction\n# Target candidate description\n# Recommended AWS knowledge\n# Exam content\n## Question types\n## Unscored content\n## Exam results\n# Exam content domains and weightings\n## Domain 1: Fundamentals of AI and ML","[{\"question\":\"Who is the target candidate for the AWS Certified AI Practitioner (AIF-C01) exam?\",\"answer\":\"Candidates with up to 6 months of exposure to AI/ML technologies on AWS who use, but do not necessarily build, AI/ML solutions on AWS are targeted.\"},{\"question\":\"What topics are recommended for AWS knowledge before taking AIF-C01?\",\"answer\":\"The guide recommends familiarity with core AWS services and use cases, the shared responsibility model, IAM, global infrastructure concepts (Regions, Availability Zones, edge locations), and AWS service pricing models.\"},{\"question\":\"What is out of scope for this exam?\",\"answer\":\"Out-of-scope items include developing/coding AI/ML models or algorithms, implementing data or feature engineering, hyperparameter tuning and optimization, building/deploying AI/ML pipelines or infrastructure, conducting mathematical/statistical analysis, implementing security/compliance protocols, and developing governance frameworks and policies.\"}]","AWS-Certified-AI-Practitioner Exam Guide - Exam Guide | PDF",1789904207,48]