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Exam Outline

AWS Certified AI Practitioner

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Exam Subjects
1
Topics
155
Scoped Questions
3,720
Domain Weight Gap
0%
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  • AWS Certified AI Practitioner 155 topics
    • Fundamentals of AI and ML 20% 3 subtopics
      • Explain basic AI concepts and terminologies 5 subtopics
      • Identify practical use cases for AI 6 subtopics
      • Describe the AI/ML development lifecycle 6 subtopics
    • Fundamentals of generative AI 24% 3 subtopics
      • Explain the basic concepts of generative AI (GenAI) 6 subtopics
      • Understand the capabilities and limitations of GenAI for solving business problems 4 subtopics
      • Describe AWS infrastructure and technologies for building GenAI applications 4 subtopics
    • Applications of foundation models 28% 4 subtopics
      • Describe design considerations for applications that use foundation models (FMs) 6 subtopics
      • Choose effective prompt engineering techniques 5 subtopics
      • Describe the training and fine-tuning process for FMs 3 subtopics
      • Describe methods to evaluate FM performance 5 subtopics
    • Guidelines for responsible AI 14% 2 subtopics
      • Explain the development of AI systems that are responsible 7 subtopics
      • Recognize the importance of transparent and explainable models 4 subtopics
    • Security, compliance, and governance for AI solutions 14% 2 subtopics
      • Explain methods to secure AI systems 5 subtopics
      • Recognize governance and compliance regulations for AI systems 3 subtopics
    • In-scope AWS services and features 11 subtopics
      • Analytics 8 subtopics
      • Cloud Financial Management 2 subtopics
      • Compute 2 subtopics
      • Containers 2 subtopics
      • Database 6 subtopics
      • Developer Tools 3 subtopics
      • Machine Learning 16 subtopics
      • Management and Governance 5 subtopics
      • Networking and Content Delivery 2 subtopics
      • Security, Identity, and Compliance 7 subtopics
      • Storage 2 subtopics
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