Free AIF-C01 practice exam: AWS Certified AI Practitioner exam guide
Domains, format, and cost of the AIF-C01, AWS’s generative AI certification built around Bedrock. How to practice with the Brains4Cloud guide, deep dive, labs, and practice exam.
The AIF-C01 (AWS Certified AI Practitioner) is AWS's AI fundamentals certification, with a strong emphasis on generative AI and Amazon Bedrock. It doesn't require experience programming models — it's an exam on concepts, use cases, and best practices, designed for both technical and business profiles.
What you need to know about the exam
| Questions | 65 (multiple choice and multiple response) |
| Duration | 90 minutes |
| Reference cost | USD 100 |
| Passing score | 700 out of 1000 (scaled) |
| Validity | 3 years |
| Prerequisites | None |
Official domains and their weight
| Domain | Approximate weight | Main content |
|---|---|---|
| Fundamentals of AI and ML | 20% | Core concepts, types of learning |
| Fundamentals of generative AI | 24% | Foundation models, prompts, use cases |
| Applications of foundation models | 28% | Amazon Bedrock, RAG, fine-tuning, agents |
| Guidelines for responsible AI | 14% | Bias, fairness, transparency |
| Security, compliance, and governance for AI solutions | 14% | Data protection, model governance |
Reference weights from AWS's public blueprint — confirm the current version before your exam, given how quickly this content is updated.
The largest block is "applications of foundation models", centered on Amazon Bedrock: when to use RAG vs fine-tuning, how to choose between available models, and agent architectures — it's the block that most separates people who only read the theory from those who understand the service.
Common mistakes that make people fail
- ▸Not distinguishing RAG from fine-tuning. It's one of the most frequently asked concepts on the exam, with the most plausible distractors.
- ▸Treating "generative AI" and "traditional machine learning" as the same thing. They're separate blocks with different evaluation logic.
- ▸Underestimating responsible AI and governance. Combined, they make up almost 30% of the exam — they're not an appendix, they're a core block.
How to prepare with Brains4Cloud
- ▸Complete AIF-C01 guide — a summary of the five domains focused on Amazon Bedrock and real use cases.
- ▸AIF-C01 Deep Dive — each topic broken down, including RAG vs fine-tuning comparisons and agent architectures.
- ▸AIF-C01 interactive labs — practice with Bedrock and AI services in a guided environment, without needing your own AWS account.
- ▸Practice exam — original questions updated to the current blueprint, with an explanation for every option. Create your free account and start practicing.
Frequently asked questions
Do I need to know how to code? No, it's a conceptual exam — it doesn't assess writing code or training models from scratch.
Is it different from Microsoft's AI-901? Yes. Although both are AI fundamentals exams, the AIF-C01 is much more focused on Amazon Bedrock and AWS-specific agent architectures.
What comes after the AIF-C01? If your interest is applied AI on AWS at a more technical level, the natural next step is an AWS Machine Learning specialty certification at the associate level or above.
Put what you learned to the test
Original practice exams with detailed explanations. No brain dumps.