Domain 2 · 24% of Exam

Fundamentals of Generative AI

Domain 2 covers generative AI concepts, foundation models, transformer architecture, tokens, embeddings, and the fundamentals of how large language models work.

What You'll Be Tested On

  • What generative AI is and how it differs from traditional ML
  • Foundation models: pre-training, fine-tuning, and transfer learning
  • Transformer architecture and attention mechanisms
  • Tokens, tokenization, and context windows
  • Embeddings and vector representations
  • Model parameters: temperature, top-p, top-k, and their effects

Key AWS Services in This Domain

🏛️Foundation Models✨Generative AI🪨Bedrock🧠Deep Learning💬Prompt Engineering

Exam Tips for Domain 2

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Understand how transformers use self-attention to process sequences.

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Know what temperature, top-p, and top-k control in model outputs.

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Know the difference between pre-training, fine-tuning, and prompt engineering.

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Understand tokens — they are not always whole words, and context window limits matter.

Practice Domain 2 Questions

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Other AIF-C01 Domains

Domain 1Fundamentals of AI and ML20%Domain 3Applications of Foundation Models28%Domain 4Guidelines for Responsible AI14%Domain 5Security, Compliance, and Governance for AI Solutions14%
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