Amazon Web Services · AIF-C01 · Foundational · Beginner
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, so your study time should roughly follow it.
1. Fundamentals of AI and ML
20%- Using the core terms precisely: model, inference, training, embedding, token
- 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 drives 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 with 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 spreads its questions across these exact domains at these weightings, so your score in each one tells you precisely where you stand.
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