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AWS Certified AI Practitioner AIF-C01 Exam Preparation Guide

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Your Fast Track to Acing the Certification Exam


1 - Introduction
  • 1 - Introduction
  • 2 - Sign your coaching contract

  • 2 - Domain 1 Fundamentals of AI and ML
  • 3 - 11 Explain basic AI concepts and terminologies
  • 4 - Study Notes 11 Explain basic AI concepts and terminologies.html
  • 4 - Study-notes-1.1-Explain-basic-AI-concepts-and-terminologies.pdf
  • 5 - 12 Identify practical use cases for AI
  • 6 - Study Notes 12 Identify practical use cases for AI.html
  • 6 - Study-notes-1.2-Identify-practical-use-cases-for-AI.pdf
  • 7 - 13 Describe the ML development lifecycle
  • 8 - Study Notes 13 Describe the ML development lifecycle.html
  • 8 - Study-notes-1.3-Describe-the-ML-development-lifecycle.pdf

  • 3 - Domain 2 Fundamentals of Generative AI
  • 9 - 21 Explain the basic concepts of generative AI
  • 10 - Study Notes 21 Explain the basic concepts of generative AI.html
  • 10 - Study-notes-2.1-Explain-the-basic-concepts-of-generative-AI.pdf
  • 11 - 22 Capabilities and limitations of generative AI for solving business problems
  • 12 - Study Notes 22 Capabilities limitations of genAI for solving business problem.html
  • 12 - Study-notes-2.2-Understand-the-capabilities-and-limitations-of-generative-AI-for-solving-business-problems.pdf
  • 13 - 23 Describe AWS infrastructure and technologies for building generative AI apps
  • 14 - Study Notes 23 Describe AWS infra and technologies for building genAI apps.html
  • 14 - Study-notes-2.3-Describe-AWS-infrastructure-and-technologies-for-building-generative-AI-applications.pdf

  • 4 - Domain 3 Applications of Foundation Models
  • 15 - 31 Design considerations for applications that use foundation models
  • 16 - Study Notes 31 Design considerations for apps that use foundation models.html
  • 16 - Study-notes-3.1-Describe-design-considerations-for-applications-that-use-foundation-models.pdf
  • 17 - 32 Choose effective prompt engineering techniques
  • 18 - 33 Describe the training and fine tuning process for foundation models
  • 19 - Study Notes 32 Choose effective prompt engineering techniques.html
  • 19 - Study-notes-3.2-Choose-effective-prompt-engineering-techniques.pdf
  • 20 - Study Notes 34 Describe methods to evaluate foundation model performance.html
  • 20 - Study-notes-3.4-Describe-methods-to-evaluate-foundation-model-performance.pdf
  • 21 - Study Notes 33 Describe training and finetuning process for foundation models.html
  • 21 - Study-notes-3.3-Describe-the-training-and-fine-tuning-process-for-foundation-models.pdf
  • 22 - 34 Describe methods to evaluate foundation model performance

  • 5 - Domain 4 Guidelines for Responsible AI
  • 23 - 41 Explain the development of AI systems that are responsible
  • 24 - Study Notes 41 Explain the development of AI systems that are responsible.html
  • 24 - Study-notes-4.1-Explain-the-development-of-AI-systems-that-are-responsible.pdf
  • 25 - 42 Recognize the importance of transparent and explainable models
  • 26 - Study Notes 42 Recognize the importance of transparent and explainable models.html
  • 26 - Study-notes-4.2-Recognize-the-importance-of-transparent-and-explainable-models.pdf

  • 6 - Domain 5 Security Compliance and Governance for AI Solutions
  • 27 - 51 Explain methods to secure AI systems
  • 28 - Study Notes 51 Explain methods to secure AI systems.html
  • 28 - Study-notes-5.1-Explain-methods-to-secure-AI-systems.pdf
  • 29 - 52 Recognize governance and compliance regulations for AI systems
  • 30 - Study Notes 52 Recognize governance and compliance regulations for AI systems.html
  • 30 - Study-notes-5.2-Recognize-governance-and-compliance-regulations-for-AI-systems.pdf

  • 7 - Important AWS Services
  • 31 - Important AWS Services.html
  • 31 - Important-AWS-Services.pdf

  • 8 - Refresh your AWS Skills
  • 32 - AWS-Fundamentals-Services.pdf
  • 32 - Refresh your AWS Skills.html

  • 9 - Conclusion
  • 33 - AWS-Certified-AI-Practitioner-Exam-Guide.pdf
  • 33 - Conclusion
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