Amazon Web Services
AWS Certified AI Practitioner (AIF-C01) exam objectives
Amazon Web Services publishes 5 exam domains with official weightings. The weight tells you where your marks come from — study time should roughly follow it.
AIF-C01FoundationalBeginner
1. Fundamentals of AI and ML
20%- Core terminology — model, inference, training, embedding, token — used precisely
- Supervised, unsupervised and reinforcement learning, and what each is for
- When traditional ML beats generative AI, and when neither is the right tool
- The AWS ML stack: SageMaker, and the managed AI services above it
2. Fundamentals of Generative AI
24%- Foundation models, and how pre-training differs from fine-tuning
- Tokens, context windows, embeddings and vector representations
- Amazon Bedrock and Amazon Q — what each is for and how they differ
- Where generative AI genuinely fits a business problem, and where it does not
3. Applications of Foundation Models
28%- Prompt engineering: zero-shot, few-shot, chain-of-thought, and prompt injection risk
- Retrieval-augmented generation — vector stores, chunking, and why retrieval quality dominates output quality
- Choosing between prompting, RAG, fine-tuning and continued pre-training on cost and effort
- Evaluating outputs: relevance, groundedness, hallucination, and human review
4. Guidelines for Responsible AI
14%- Bias and fairness — where it enters, and how it is measured
- Transparency and explainability, including model cards
- Guardrails for Amazon Bedrock and content filtering
- Human-in-the-loop review, and when it is not optional
5. Security, Compliance, and Governance for AI Solutions
14%- Protecting training and inference data — encryption, IAM, and least privilege for model access
- Data residency, retention, and what leaves your account when you call a model
- Auditability and monitoring of AI workloads
- Regulatory and IP considerations around model output
Our practice exam distributes its questions across these exact domains at these weightings — so your score per domain tells you precisely where you stand.
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