AIF-C01 is AWS’s foundational AI literacy exam: use cases, AWS AI/ML services at a recognition level, and responsible AI. It is not MLA-C01 (build/train) and not AIP-C01 (production gen-AI developer).
Start practicing: AI Practitioner practice →
Roadmap: AWS certification path.
Exam overview
| Detail | Info |
|---|---|
| Code | AIF-C01 |
| Level | Foundational |
| Questions | ~65 |
| Duration | 90 minutes |
| Pass | 700 / 1000 |
| Cost | ~$100 USD |
Official: AWS AI Practitioner.
Domains (study the live guide)
- Fundamentals of AI/ML and generative AI
- AWS AI services (Bedrock, SageMaker at a when to use level, Rekognition, Comprehend, Textract, Transcribe, etc.)
- Security, compliance, and responsible AI (bias, privacy, human oversight)
- Business value and implementation (cost, fit-for-purpose)
Do not memorize every API. Do know Bedrock vs rolling your own on SageMaker, and when a purpose-built service is enough.
3-week plan
| Week | Focus |
|---|---|
| 1 | AI vs ML vs gen-AI vocabulary + responsible AI |
| 2 | AWS service selection scenarios |
| 3 | Timed exams + weak domains |
Next: MLA-C01 or AIP-C01 if you will build.
- Practice · Flashcards · Notes · Exams
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