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AWS Certified AI Practitioner (AIF-C01) | 150+ Questions
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AWS Certified AI Practitioner (AIF-C01) | 150+ Questions

About this course

The AWS Certified AI Practitioner (AIF-C01) certification validates foundational knowledge of artificial intelligence (AI) and machine learning (ML) services within the AWS ecosystem. This entry-level certification is ideal for professionals looking to break into AI/ML roles or demonstrate their understanding of core ML concepts, responsible AI, data preparation, and AWS AI/ML services.This exam is designed for beginners, business professionals, developers, and aspiring data scientists who want to gain a working knowledge of AI and ML concepts, including how to identify opportunities to apply machine learning in business scenarios and how AWS services support the full ML lifecycle.Exam DetailsExam Code: AIF-C01Format: Multiple choice and multiple responseDelivery: Pearson VUE / Online proctoredTime Allotted: 130 minutesCost: $135 USDLanguages Available: English, Japanese, Korean, Simplified ChineseScoring Range: 100–1,000Minimum Passing Score: 750Scoring Model: Scaled scoreExam Domains (2025 Official Guide)Domain 1: Foundations of AI and ML – 24%Domain 2: AWS AI/ML Services and Tools – 30%Domain 3: Implementing AI/ML Solutions on AWS – 23%Domain 4: AI/ML Responsibility and Ethics – 23%What’s Included in This Practice Test Pack150+ questions based on the latest AIF-C01 exam formatRealistic question types: multiple choice, multiple response, scenario-basedDetailed explanation

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What you'll learn

  • Understand foundational AI and ML concepts
  • Identify opportunities for applying machine learning in business
  • Familiarize with AWS AI/ML services
  • Comprehend the ethical considerations of AI and ML

Course objectives

  • Equip learners with the knowledge needed to pass the AWS Certified AI Practitioner exam
  • Help learners recognize and leverage AWS tools for machine learning solutions
Machine Learning Artificial Intelligence #aws #artificial intelligence #machine learning #cloud computing #ethics in ai #data preparation #ai #business applications #ml #service tools
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