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★ 43,965+ AIP-C01 candidates assessed this year

Know exactly where you stand
before investing months in
AIP-C01 preparation.

10 exam-based questions across all 5 domains. Discover your strongest and weakest domains, identify where you'll gain points fastest, and get a personalised readiness report in 10 minutes.

91%
discovered a weakness they didn't know they had
+34%
average readiness improvement after following their plan
10 min
personalised readiness assessment
No credit card No Login required Results in 10 minutes Personalised report
12 AIP-C01 candidates took this test today  ·  Trusted by 43,965+ this year

What this test does

1
Diagnoses gaps - not just a score
10 scenario-based questions mirror real AWS Generative AI Developer - Professional difficulty. Every answer is analysed for speed, confidence, and domain accuracy.
2
Identifies the domains with the biggest impact on your score
Most AWS Generative AI Developer - Professional failures come from just 1–2 weak domains. This test finds yours - by name - so you know exactly where to focus.
3
Gives you a pass-ready date and daily plan
Your report includes a predicted date you'll cross the 90% readiness threshold and a day-by-day study schedule built around your gaps.

AIP-C01 domains covered in this test

Testing, Validation, and Troubleshooting
8
11 of exam
Operational Efficiency and Optimization for GenAI Applications
9
12 of exam
AI Safety, Security, and Governance
15
20 of exam
Implementation and Integration
20
26 of exam
Foundation Model Integration, Data Management, and Compliance
23
31 of exam

Stop guessing.
Know your AIP-C01 gaps before exam day.

Free, instant, no login. Takes 10 minutes. Your report shows exactly what to fix - by domain.

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Frequently asked questions

How hard is the AWS Generative AI Developer Professional exam? +
It is a professional-level exam and genuinely demanding. Questions are long production scenarios: vector stores, RAG pipelines, agent orchestration, guardrails, cost and latency trade-offs. Prompting skill alone will not carry you. Multiple-response questions require every correct option for credit, and Amazon Bedrock features change quickly, so study material can lag behind current best practice.
What is the AIP-C01 exam format? +
AIP-C01 has 75 questions in 180 minutes: 65 scored and 10 unscored, which are not identified. Questions are multiple choice (one correct answer) or multiple response (two or more correct out of five or more options). You can take it at a Pearson VUE center or online, in English, Japanese, Korean or Simplified Chinese.
What is the passing score for AIP-C01? +
You need 750 on AWS's 100-1,000 scaled score - higher than the 700 or 720 used on many other AWS exams. Scoring is compensatory, so you only need to pass overall, not each domain. Unanswered questions count as wrong with no guessing penalty. Because multiple-response items give no partial credit, near-misses add up quickly.
What does AIP-C01 cost, and what experience does it expect? +
The exam costs USD 300. There are no prerequisites, but AWS recommends two or more years building production applications on AWS or with open-source tools, general AI/ML or data engineering experience, and one year of hands-on generative AI implementation. AWS suggests the AI Practitioner or an associate certification first. Experienced builders typically prepare for 8-12 weeks.
Which AIP-C01 domains carry the most weight? +
Foundation model integration, data management and compliance is 31%, and implementation and integration is 26%. AI safety, security and governance is 20%, operational efficiency and optimization 12%, and testing, validation and troubleshooting 11%. Model training and feature engineering are out of scope, so data scientists should shift their time to safety, cost and troubleshooting, which together make up 43%.
What if I fail AIP-C01, and how long is it valid? +
AWS requires a 14-day wait before you can retake, and you pay the full fee again. The certification is valid for three years. Your score report shows performance by domain, so use it to target the specific areas you fell short in - often governance or troubleshooting - rather than repeating a full course.