AWS Certified AI Practitioner (AIF-C01)

Fundamentals of GenAI (24%)

This lesson turns the official AIF-C01 outline into a short preparation path. Read it once for orientation, then answer the linked MCQs from the syllabus branch before moving to the next module.

What To Master

Recognize foundation models, prompts, embeddings, tokens, context windows, and AWS GenAI development services.

Fast Prep Tasks

1. Explain generative AI, FMs, LLMs, embeddings, tokens, prompts, context, and inference parameters.
2. Recognize when to use prompt engineering, retrieval, fine-tuning, or a managed assistant.
3. Map a GenAI requirement to Bedrock, Amazon Q, or SageMaker AI capabilities.

AWS Services To Recognize

• Amazon Bedrock
• Amazon Q
• SageMaker AI
• SageMaker JumpStart
• Amazon Kendra

Scenario Traps

• Treating fine-tuning as the first answer when retrieval or prompting would satisfy the use case.
• Ignoring data freshness and source grounding when a question asks about enterprise knowledge.

Speed Drill

After this lesson, open the matching syllabus branch and answer MCQs until you can explain why the wrong options are attractive but not best. Then run a short quiz with this module plus one previous weak module.

Official Source

Use the AWS exam guide as the source of truth for final scope checks: AIF-C01 exam guide.